DocketNumber: Civil Action No. 2017-0263
Citation Numbers: 258 F. Supp. 3d 50
Judges: Judge Rudolph Contreras
Filed Date: 6/28/2017
Status: Precedential
Modified Date: 11/7/2024
UNITED STATES DISTRICT COURT FOR THE DISTRICT OF COLUMBIA AMERICAN ASSOCIATION OF : COSMETOLOGY SCHOOLS, : : Plaintiff, : Civil Action No.: 17-0263 (RC) : v. : Re Document Nos.: 8, 18 : ELISABETH DEVOS, in her official capacity : as Secretary of Education, : : Defendant. : MEMORANDUM OPINION GRANTING PLAINTIFF’S MOTION FOR SUMMARY JUDGMENT; DENYING DEFENDANT’S MOTION FOR SUMMARY JUDGMENT; DENYING PLAINTIFF’S MOTION FOR A PRELIMINARY INJUNCTION I. INTRODUCTION In this case, the Court considers whether the Department of Education (“DOE”) acted arbitrarily and capriciously with respect to cosmetology schools when it decided to presumptively use earnings data that does not account for unreported income. Although the DOE was justified in using reported income as the presumptive measure of overall income, it arbitrarily and capriciously made rebutting that presumption overly difficult. In setting standards that determine which proprietary schools’ graduates are entitled to federally backed student loans, the DOE looks to the rates at which the schools’ graduates are “gainfully employed.” To determine whether graduates are gainfully employed, the DOE has adopted a test that compares the graduates’ income levels to their levels of debt. To determine the graduates’ income, the DOE presumptively uses the Social Security Administration’s (“SSA”) income data. This data does not account for income that is not reported to the Internal Revenue Service. Schools may appeal the DOE’s use of SSA data through “alternate earnings appeals,” which, if successful, allow them to use alternate measures of income before the debt- to-earnings rates become final. To submit such an appeal, a school is required to use either state- sponsored data pertaining to over half of its graduates during the relevant timeframe or gather income data on almost all of its graduates through a survey. Schools that fail the debt-to- earnings test for a long enough time lose eligibility for federal loans. Schools at immediate risk of losing federal-loan eligibility are required to warn their students and prospective students that they may be ineligible for student loans in the near future. During the notice-and-comment period, several commenters argued that use of SSA data would be unfair to, among others, cosmetology programs, because their graduates disproportionately underreport their income due to high levels of cash-based and self- employment-based earnings, including tips. The commenters suggested that the Bureau of Labor Statistics’s survey-based data would better account for unreported income. The DOE rejected the commenters’ objection to the data and their proposed solution. In rejecting the objection, the DOE reasoned that graduates who do not report their income are subject to civil and criminal penalties, and noted that the SSA data is only one means of determining income; programs can submit alternate earnings appeals to show the DOE that its graduates’ average incomes are actually higher than the SSA data indicates. In rejecting the proposed solution, the DOE noted that the Bureau of Labor Statistics data cannot be tied to particular programs, and thus would undermine the purpose of the regulations—to identify individual programs whose graduates are not gainfully employed. The American Association of Cosmetology Schools (“AACS”) sued under the Administrative Procedure Act, arguing that these responses were unsatisfactory, and thus the 2 DOE arbitrarily and capriciously failed to adequately consider the unreported-income issue when it promulgated the regulations. AACS is a nonprofit association of cosmetology schools, many of which are at risk of failing the DOE’s debt-to-earnings test. In fact, at least three schools have already posted warnings to their students, because they could not feasibly appeal their failing grades. Defendant moves for summary judgment on two procedural grounds and on the basis that the regulations were not arbitrary or capricious. Both of the DOE’s procedural arguments concern subject-matter jurisdiction. It first argues that AACS does not challenge final agency action, because none of AACS’s member- schools have unsuccessfully appealed their failing debt-to-earnings rates. The DOE also argues that AACS does not have standing to bring this action, because it did not identify any individual member-schools with standing in the complaint. The Court holds that AACS is challenging final agency action, because at least three schools have already had to post warnings, and raising an administrative appeal is not a prerequisite to suit under the APA. The Court further holds that AACS has standing to bring this case, because AACS indeed identified adversely affected members and meets all other requirements to establish associational standing to sue on behalf of its members. The DOE argues that it did not act arbitrarily and capriciously because it provided a reasoned explanation for its rejection of commenters’ concerns about unreported income and their proposed solution. The Court holds that, although the DOE was rational in rejecting the commenters’ proposed alternative, it did not adequately address the issue of unreported income. Neither side disputes that SSA data is highly accurate, even though it may be insufficient in certain circumstances. But, as the commenters pointed out—and the government did not dispute—there is a significant problem with this data. Despite the illegality of failing to report 3 earnings to the IRS, many programs’ graduates fail to report substantial portions of their income. The DOE proffered two responses to the commenters’ problem. First, it argued that civil and criminal penalties deter underreporting. Second, it noted that institutions may submit an alternate earnings appeal to have their graduates’ earnings more accurately calculated. The existence of penalties—which existed when the commenters’ data was collected and will continue to exist into the future, absent some added deterrent—is irrelevant to the issue of undercounting income. In comparison, an alternative means of measuring earnings data is responsive to the problem. The DOE justifiably used SSA data as the default measure of earnings, but supplemented that default methodology with an alternate means of determining income. However, by inexplicably requiring high response rates to submit state-sponsored or survey-based alternate earnings calculations, the DOE narrowly circumscribed the alternate- earnings appeal process, making it unfeasible for certain programs to appeal their designations. To remedy the DOE’s arbitrary and capricious narrowing of appellate recourse—and to avoid upending the entire administrative scheme—the Court removes barriers to appeal, making it more widely available for programs subject to the regulations. II. REGULATORY BACKGROUND Congress passed Title IV of the Higher Education Act of 1965 (“HEA”) to make postsecondary education more widely available to the general public. See 20 U.S.C. § 1070(a). To broaden the availability of student loans and lower their cost to students, Title IV authorizes the United States government to enter into agreements with postsecondary educational institutions to allow students at their schools to obtain federally guaranteed loans. Seeid. § 1094.
To protect the taxpayer, the government sets certain conditions that participating institutions must meet. See id.; see also Ass’n of Private Sector Colls. & Univs. v. Duncan 4 (APSCU I),681 F.3d 427
, 435 (D.C. Cir. 2012) (“[S]chools receive the benefit of accepting tuition payments from students receiving federal financial aid, regardless of whether those students are ultimately able to repay their loans. Therefore, Congress codified statutory requirements in the HEA to ensure against abuse by schools.”). Many of those conditions center on the financial success of proprietary institutions’ graduates, because such success makes it more likely that the borrower will repay his own loans. See generally 20 U.S.C. § 1094. Under 20 U.S.C. § 1002(b)(1)(A), students at “proprietary institutions of higher education” may receive federal loan assistance only if their school “provides an eligible program of training to prepare students for gainful employment in a recognized occupation.” See also Compl. ¶ 8, ECF No. 1 (emphasis added). From 2009 to 2011, the DOE promulgated regulations defining the term “gainful employment” (“GE”) in terms of a debt-to-income test and a debt-repayment test. See Program Integrity: Gainful Employment—Debt Measures, 76 Fed. Reg. 34,386 (June 13, 2011); see also Ass’n of Private Colls. & Univs. v. Duncan,870 F. Supp. 2d 133
, 153–54 (D.D.C. 2012). This Court determined that parts of that rule were arbitrary and capricious under the Administrative Procedure Act (“APA”). See Ass’n of Private Colleges &Universities, 870 F. Supp. 2d at 154
, 158. The DOE again set out to define the term “gainful employment,” this time focusing only on program graduates’ overall debt compared to their earnings, which it refers to as “D/E” rates. See Program Integrity: Gainful Employment, 79 Fed. Reg. 64,890, 64,891 (Oct. 31, 2014) (to be codified at 34 C.F.R. pt. 600, 668). “The D/E rates measure evaluates the amount of debt (tuition and fees and books, equipment, and supplies) students who completed a GE program 5 incurred to attend that program in comparison to those same students’ discretionary and annual earnings after completing the program.” Id.; see also 34 C.F.R. § 668.404. The GE regulations use two tests to determine whether programs “pass,” each of which is designed to determine whether programs’ graduates are earning enough income to justify the government’s guarantee of their loans. The first test divides the program’s graduates’ average loan payment amounts by their average discretionary income amounts.1 The resulting rate is called the program’s “discretionary income rate.”2 34 C.F.R. §§ 668.402, 668.404. A program passes if its graduates’ loan payments make up, on average, 20 percent or less of their overall discretionary income. See 34 C.F.R. §§ 668.403. So, for example, if a program’s graduates were spending an average of $200 per month on student loan payments, its graduates’ average monthly discretionary income would have to be $1000 or more for the program to pass. The second test divides the program’s graduates’ average annual loan payments by their average annual income. The resulting rate is called the program’s “annual earnings rate.” §§ 668.402, 668.404. A program passes if its graduates’ average annual loan payment is 8 percent or less of its graduates’ average annual earnings. See 34 C.F.R. § 668.403–04. Using another example, if a program’s graduates paid, on average, $800 per year in student loans, they would need to make an average of $10,000 per year to pass. A program is classified as “failing” the GE regulations if its discretionary income rate is greater than 30 percent and its annual earnings rate is more than 12 percent.Id. at §
668.403(c)(2). If a program does not pass either test and its discretionary income rate or its 1 Discretionary income is determined via a formula, not by measuring each graduate’s actual level of discretionary income. 34 C.F.R. § 668.404(a)(1). 2 Under the regulations, average income is defined as mean or median income— whichever is higher. 34 C.F.R. § 668.404(a). 6 annual earnings rate falls in between the passing and failing rates, then the school is designated as “in the zone” between passing and failing. Seeid. § 668.403(c)(3);
see also 79 Fed. Reg. at 64,891. A program loses HEA loan eligibility if (1) it fails for two out of three consecutive years, or (2) it is either in the zone or failing for four consecutive years. 34 C.F.R. § 668.403(c)(4)(i)–(ii). To measure program graduates’ income rates in calculating a program’s discretionary income rate or annual earnings rate, the DOE presumptively uses income data from the Social Security Administration. 34 C.F.R. §§ 668.405, 668.404(c)(1). The SSA data accounts only for earnings that were reported to the IRS for the purpose of calculating income tax. See 79 Fed. Reg. 64,890. If the DOE’s presumptive D/E rates, as calculated using SSA data, would leave a program either failing or in the zone, it may file an “alternate earnings appeal” to request an alternative formulation to determine the program’s final D/E rates. 34 C.F.R. §§ 668.406(a), 668.409(a)(5). This allows the school to argue that more accurate data exists from which its graduates’ average level of earnings can be calculated. Seeid. §§ 668.406(b),
668.409(a). The process requires the school to use either an institutional survey of the institution’s graduates or a state-sponsored data system, if such a system exists.Id. § 668.406(b)(1).
The data generally must be from the same calendar year as the SSA data that the DOE used to calculate the program’s D/E rate.Id. § 668.406(a).
The state-sponsored data-system avenue requires that the data include more than 50 percent of a program’s graduates during the relevant period. Seeid. § 668.406(d).
With limited exceptions, the institutional-survey avenue requires a school to 7 obtain the earnings data of all of a program’s graduates during the relevant period.3Id. § 668.406(c).
The DOE never explained how it came up with the survey-response or state-based data requirements. See 79 Fed. Reg. at 64,995–96; see generally 79 Fed. Reg. 64,890. While an appeal is pending, the school is not considered at risk of losing eligibility the following year. 34 C.F.R. § 668.406(e)(2). Notably, if a program successfully appeals the DOE’s use of SSA data for the determination of its D/E rates, it can avoid any negative repercussions altogether. Under 34 C.F.R. § 668.409(a)(1), the DOE’s “final D/E rates” can include either the presumptive SSA data or a program’s successfully proposed alternative. Only after finalizing each program’s D/E rate does the DOE finally determine whether the program is passing, failing, or in the zone.Id. § 668.409(a)(2).
However, if a school does not timely appeal its designation or is unsuccessful in seeking an alternative earnings calculation, it begins to suffer serious consequences. Under the Gainful 3 Although Plaintiff seems to suggest that this avenue required the responses of only 50 percent of its graduates, see Decl. of Mez Varol, President of International Academy (“Varol Decl.”) ¶¶ 7–8, ECF No. 8-3; Tr. Oral Arg. (“Tr.”) at 17, ECF No. 25, this is not supported by the text of the regulations. Under 34 C.F.R. § 668.406(c) and (b)(3), to submit an alternate earnings appeal based on an institutional survey, the “institution must . . . [i]n accordance with the standards included on an Earnings Survey Form developed by [the National Center for Educational Studies (“NCES”)], conduct a survey to obtain annual earnings information of” “all the students who completed the program during the same cohort period that the [DOE] used to calculate the final D/E rates,” with narrow, enumerated exceptions. See also 79 Fed. Reg. at 64995 (“An institution that wishes to submit an appeal by providing survey data must include in its survey all the students who completed the program during the same cohort period that the Secretary used to calculate the final D/E rates under § 668.404 or a comparable cohort period, provided that the institution may elect to exclude from the survey population all or some of the students excluded from the D/E rates calculation under § 668.404(e).”). The regulations do not outline what the standards of an Earnings Survey Form might be. J.A. 606, ECF No. 26-1. Regardless of the NCES’s standards, however, the regulations require the institution to “survey . . . all of the students who completed the program during the same cohort period that the Secretary used to calculate the final D/E rates.” 34 C.F.R. § 668.406(b)(3). 8 Employment rules, schools that could lose HEA loan eligibility the following year must provide written warnings to current and prospective students informing them that their “program has not passed standards established by the U.S. Department of Education,” and that if the institution does not obtain a passing grade, the students may not be able to receive federal student grants or loans the following year. 34 C.F.R. § 668.410(a)(2)(i). The warning requirement was implemented to protect prospective students from programs that might put their loan eligibility into jeopardy. See 79 Fed. Reg. at 64,894. A program becomes ineligible for federal student loans under the HEA after failing the D/E rates for two out of three consecutive years or by having a combination of failing and in-the-zone rates for four consecutive years. See 34 C.F.R. § 668.403(c)(4)(i)–(ii). Federal courts have jurisdiction to review final agency action. 5 U.S.C. § 704. The APA requires reviewing courts to set aside an agency action that is “arbitrary, capricious, an abuse of discretion, or otherwise not in accordance with law.” 5 U.S.C. § 706(2)(A). In cases like this one, prior to final publication, the agency is required to submit proposed regulations for a “notice and comment” period, during which interested persons may submit data and views to the agency for its consideration. See 5 U.S.C. § 553. III. FACTUAL BACKGROUND The facts in this case are largely undisputed. Plaintiff, the American Association of Cosmetology Schools brings this action under the APA, seeking to enjoin the DOE from enforcing its GE rules. Compl. at 1. AACS is a nonprofit association of accredited cosmetology programs. Compl. ¶ 1. At core, AACS takes issue with the DOE’s use of the SSA annual earnings data. See Compl. ¶¶ 15, 35–38. Plaintiff notes that the SSA data is incomplete because it tends to undercount the income of self-employed individuals and individuals who receive a 9 significant amount of their income in the form of tips and cash. J.A. 797, ECF No. 26-1; see also Decl. of Anthony Civitano (“Civitano Decl.”) ¶¶ 25, 28, ECF No.8-1. These two groups, the argument goes, can underreport their income more easily than persons earning paychecks from employer payrolls. J.A. 606; Civitano Decl. ¶ 28. Thus, cosmetology school graduates—who Plaintiff claims are disproportionately self-employed and paid in cash—on average have higher incomes than the SSA’s numbers reflect, in many cases as much as double. J.A. 595, 787; Civitano Decl. ¶ 28. According to Plaintiff, the DOE was made aware of “this well-known reported income gap phenomenon” by several commenters during the notice-and-comment period of the GE rule promulgation. Compl. ¶¶ 47–48. Indeed, the DOE explicitly acknowledges that these comments included claims that “about half of earnings in service occupations such as cosmetology” are made up of tips, and that many people in the industry are self-employed. See 79 Fed. Reg. at 64,955. A report by Stanford professor Dr. Eric Bettinger, which was submitted to the agency during the notice-and-comment period, found that both tip income and self-employment income are, on average, underreported by around 60%. See J.A. 594; see also Decl. of Katherine Brodie (“Brodie Decl.”) at 493, ECF No. 8-4. Even aside from formal public comments, AACS cites to several sources suggesting that the underreporting of cash-based earnings—including in the cosmetology industry—is widely known to be a serious problem. See Brodie Decl. ¶ 3. For example, AACS provides the House Budget Committee testimony of Russell George, Treasury Inspector General of the Tax Administration, wherein Mr. George states that “self-employed individuals who formally operate . . . businesses . . . are estimated to report only about 68 percent of their income for tax purposes” and “self-employed individuals operating businesses on a cash basis report just 19 percent of 10 their income to the IRS.” Brodie Decl. at 1258. Although these materials were apparently not submitted in connection with notice-and-comment and have little direct relevance, they lend credence to the general idea that the income gap phenomenon is a significant problem. The DOE acknowledged that the use of SSA data was imperfect, but generally viewed civil and criminal penalties as sufficient deterrents to underreporting. See 79 Fed. Reg. at 64,955–56. The pertinent portions of the DOE’s responses to the public comments are as follows: We do not agree that our reliance on reported earnings is flawed because of its treatment of self-employment earnings and tips . . . . We acknowledge that some self-employed individuals may fail to report, or underreport, their earnings. However, [the Internal Revenue Code] requires self-employed individuals to file a return if the individual earns $400 or more for the taxable year. . . . Underreporting subjects the individual to penalty or criminal prosecution. . . . With respect to the earnings of workers who regularly receive tips for their services, [the Internal Revenue Code] requires individuals to report to IRS their tip earnings for any month in which those tips exceeded $20, and . . . individuals who fail to do so are subject to penalties. . . . For these reasons, we do not agree with the commenters’ assertion that aggregate earnings data provided by SSA . . . are unreliable with respect to workers in occupations that involve significant tip income or a high percentage of income from self-employment. . . . Moreover, the regulations allow an institution to submit an alternate earnings appeal using State databases or a survey. 79 Fed. Reg. at 64,955–56. At least one commenter also proposed an alternate means of calculating income. See id.; J.A. 53, 785; see also Brodie Decl. at 1193–94. That commenter suggested using data gathered by the Bureau of Labor Statistics, which relies on population surveys rather than formally reported income. See J.A. 597, 785; Brodie Decl. at 1193–94. According to Dr. Bettinger, this data would more accurately capture the earnings of, among others, cosmetology-school graduates, because, unlike SSA data, it takes unreported income into account. See Brodie Decl. at 684–85, 1193–94. “[T]hese adjustments would significantly augment the SSA aggregate 11 earnings reported for these occupations, increasing the median earnings by 19 percent and the mean earnings by 24 percent.” 79 Fed. Reg. at 64,890, 64,955. In responding to this comment, the DOE not only discounted the commenter, but concluded that no commenter had provided a viable alternative to the SSA data. The DOE specifically stated that [i]mputing some percentage of added earnings to account for underreported tips and other compensation could only be done by generalizations drawn from some source of data on earnings, but none has been suggested that would permit doing so in a way that would distinguish between programs. To assess the bias that the commenter asserted . . . the commenter relies on earnings data from . . . surveys of households. The survey samples data on a selection of all households, and relies on earnings data as provided by the individuals included in the survey. As the commenter noted, there are no data . . . that allow one to associate a particular respondent with a particular GE program. Unlike the approach taken in these regulations, which captures all earnings of the cohort of students completing a program and credits those earnings to the program completed by the wage earners, the analysis proposed by the commenter does the reverse: It extrapolates from earnings reported by those survey recipients who identify their occupation as one that appears related to GE programs of that general type, and then projects an increase in aggregate earnings for all GE programs in the category of programs that appears to include that occupation. In fact, even if the respondents were all currently employed in occupations for which a category of GE programs trains students, the respondents’ earnings will almost certainly have no connection with a particular GE programs [sic] we are assessing. Because any inference drawn from . . . respondents’ earnings could only benefit a whole category of programs—improving the D/E rates for every program in that category—using such inferences would mask poorer performing programs and thwart a major purpose of the GE assessment. In addition, by the time the survey is conducted, the respondent can be expected to identify his or her current or most recent job, which may be different than the occupation for which training was received years before in a GE program. Thus, to draw a usable inference about D/E earnings from data gathered in the CPS one must connect a particular GE program now being offered and evaluated with earnings and occupations disclosed by the CPS respondents years, even decades, into their careers, during which they may have worked in different kinds of occupations.Id. at 64890,
64,955–56. When the DOE rejected the entirety of the underreporting problem identified by commenters, it stated that the commenters’ most “important[]” shortcoming was the 12 lack of an alternative.Id. at 64,956
(“More importantly, the critique fails to demonstrate either that a different and more reliable source of earnings data is available and should reasonably be used instead of the SSA data, or that adjustments must be made based on CPS data.”). A court in this district held that the DOE considered alternatives and that the SSA data was the best- available data, notwithstanding the fact that it was imperfect. Ass’n of Private Sector Colls. & Univs. v. Duncan (APSCU II),110 F. Supp. 3d 176
, 195 (D.D.C. 2015). The D.C. Circuit affirmed that opinion. 640 F. App’x 5 (D.C. Cir. 2016). AACS suggests—and the DOE does not directly dispute—that it is very difficult for cosmetology schools to gather their own data for use in administrative appeals. Many cosmetology schools operate in states that do not maintain state-sponsored data and the schools anticipate that they will be unable to obtain the student responses required to use institutional data. See Decl. of Mez Varol, President of International Academy (“Varol Decl.”) ¶¶ 8–9, ECF No. 8-3; Decl. of Robert Rosenberg, President of Artistic Nails & Beauty Academy (“Rosenberg Decl.”) ¶¶ 8–9, ECF No. 8-2. The articles and testimony that Plaintiff cites generally support the idea that it is difficult to gather accurate earnings data for self-employed, heavily cash-earning individuals. See generally Brodie Decl. ¶ 3. Thus, AACS argues, schools will be effectively unable to appeal their classification as having failed, or fallen into the zone, the D/E rates. Plaintiff argues that, despite no school having been deemed ineligible for federal student loans under the HEA, the schools are already suffering harm due to the GE rules. Plaintiff’s affiants state that the mere publication of the 2015 D/E rates has resulted in a drop in enrollment, in one case by at least 30 percent. Varol Decl. ¶ 13; Rosenberg Decl. ¶¶ 22–23. For the handful of schools that have failed the D/E ratio and must post a warning to their students, Plaintiff states that such a warning would result in “insurmountable” drops in enrollment that would force those 13 schools to end certain programs. See Rosenberg Decl. ¶¶ 24–25 (“Based on my experience to date, the compelled . . . warning . . . will result in an insurmountable drop in enrollments . . . [and] ultimately force the school to end its barbering course within weeks,” which is a necessary course to cover its operating expenses, and thus lead to closure of the school.); Varol Decl. ¶¶ 17–18 (reasoning that because the warning would lead to a 50% drop in enrollment and “the school needs a constant flow of new enrollees . . . to remain in business,” publication of the warning would “likely lead to the closure of the school almost immediately”). At least three AACS member schools have already had to post the warnings. See Decl. of Edward M. Cramp (“Cramp Decl.”) ¶ 3, ECF No. 24-1.4 AACS specifically identified three schools—located in California, Illinois, and Texas—after the parties briefed summary judgment.Id. 4 Plaintiff
has not provided any information specific to these schools that would meet the “irreparable harm” standard for a preliminary injunction. The D.C. Circuit “has set a high standard for irreparable injury.” Mexichem Specialty Resins, Inc. v. EPA,787 F.3d 544
, 555 (D.C. Cir. 2015) (quoting Chaplaincy of Full Gospel Churches v. England,454 F.3d 290
, 297 (D.C. Cir. 2006)). Not only must a party show that a harm is beyond remediation, but it also must show that it is “of such imminence that there is a clear and present need for equitable relief.” Seeid. (quoting Chaplaincy
of Full GospelChurches, 454 F.3d at 297
). Mere imminent economic harm is generally insufficient to establish irreparable injury. Wisconsin Gas Co. v. FERC,758 F.2d 669
, 674 (D.C. Cir. 1985) (“It is . . . well settled that economic loss does not, in and of itself, constitute irreparable harm.”). “Recoverable monetary loss may constitute irreparable harm only where the loss threatens the very existence of the movant’s business.”Id. A movant
asserting that its business’s existence is threatened must explain the threat with specificity. See Nat’l Mining Ass’n v. Jackson,768 F. Supp. 2d 34
, 52 (D.D.C. 2011); see also Nat’l ATM Council, Inc. v. Visa Inc., 11-cv-1803,2017 WL 2257327
, at *5 (D.D.C. May 22, 2017). Plaintiff has made no specific showing that the schools who currently have warnings posted are in imminent danger of closing. None of Plaintiff’s affiants has personal knowledge of the current financial situations of schools with posted warnings, nor do they identify any particular school that will have to close between now and July 2. At oral argument, Plaintiff’s counsel conceded that he did not have any “specific data of irreparable harm with respect to any of th[e] [three] schools” that posted the warnings, and referred to the information he did have as “anecdotal.” Tr. at 20. Blanket statements that schools will have to close soon after posting the warnings are insufficient to establish irreparable harm. See Mexichem Specialty Resins, Inc. v.EPA, 787 F.3d at 555
. 14 IV. LEGAL STANDARD In a typical case, the Court must grant summary judgment to a movant who “shows that there is no genuine dispute as to any material fact and the movant is entitled to judgment as a matter of law.” Fed. R. Civ. P. 56(a); see also Winston & Strawn, LLP v. McLean,843 F.3d 503
, 505 (D.C. Cir. 2016). But in the context of the APA, the Court’s review of the administrative record is limited. Sierra Club v. Mainella,459 F. Supp. 2d 76
, 89 (D.D.C. 2006) (citing National Wilderness Inst. v. United States Army Corps of Eng’rs,2005 WL 691775
, *7 (D.D.C. 2005)). It is the agency’s role to resolve issues of fact and regulate in accordance with those facts. Seeid. The district
court’s review is confined to determining whether, as a matter of law, the evidence in the administrative record supports the agency’s decision. Citizens for Responsibility & Ethics in Washington v. SEC,916 F. Supp. 2d 141
, 145 (D.D.C. 2013). “Summary judgment thus serves as the mechanism for deciding, as a matter of law, whether the agency action is supported by the administrative record and otherwise consistent with the APA standard of review.”Id. (citing Richards
v. INS,554 F.2d 1173
, 1177 & n. 28 (D.C. Cir. 1977)). V. ANALYSIS The DOE argues that the Court should enter summary judgment in its favor for two reasons. First, it argues that the Court does not have subject-matter jurisdiction. Def.’s Cross- Mot. Summ. J. (“Def.’s Mot. Summ. J.”) at 16–18, ECF No. 18-1. It contends that AACS member schools have not been subject to final agency action—a prerequisite to suit under the APA—because none of them have lost their federal student loan eligibility. Def.’s Mot. Summ. J. at 16–18. And because AACS did not identify any school that has incurred an injury in its complaint, the DOE also argues that AACS lacks standing to sue on behalf of its members. Def.’s Reply Supp. Def.’s Cross-Mot. Summ. J. (“Def.’s Reply”) at 8, ECF No. 23. Second, 15 Defendant contends that it did not act arbitrarily or capriciously, because the DOE reasonably concluded that underreporting of income is adequately deterred by legal penalties and the SSA data is supplemented by an alternate-earning appeal process, and because the alternatives proposed during notice and comment would not allow the DOE to differentiate among programs to identify which are not producing gainfully employed graduates. AACS argues instead that it is entitled to summary judgment in its favor. See generally Pl.’s Mot. Summ. J., ECF No. 8.5 The Court holds that AACS is entitled to summary judgment. Because the GE designations need not be appealed to be final and requiring failing schools to issue written warnings constitutes final agency action, at least some AACS member schools have been subject to final agency action. AACS has associational standing to bring claims on those schools’ behalf because it identified the particular programs that have been injured. Moreover, the DOE acted arbitrarily and capriciously with respect to the underreporting issue identified by commenters. The DOE openly acknowledged that underreporting is an issue, even identifying cosmetology schools by name. Commenters pointed to data that seem to show the issue is significant. In response to public comments, the DOE addressed the underreporting issue by noting that underreporters are subject to civil and criminal penalties and that programs may seek to have separate earnings data used through an alternate earnings appeal. The first justification is a non sequitur given the context that penalties existed when the commenters’ data was gathered and will continue to exist in the same form into the foreseeable future. The second justification also comes up short. Although SSA data is a useful starting point that seems to be highly accurate with respect to reported income, it is incomplete. To deal with that shortcoming, 5 In a telephonic conference, Plaintiff agreed to use its motion for a preliminary injunction as its motion for summary judgment. 16 the DOE created an alternate-earnings appeal process, but in doing so unjustifiably made appeals difficult to mount. To remedy the DOE’s arbitrary and capricious appeal requirements, the Court removes barriers to submitting alternate earnings appeals. But the Court goes no further. The DOE adequately explained its decision to reject the alternatives presented during the notice-and-comment period: it stated that the alternative data was too disconnected from particular programs to allow the DOE to identify which programs are underperforming. The explanation that the DOE provided sufficed to show that it was not acting arbitrarily or capriciously. Given that no better data or methodology was presented during notice-and-comment and AACS has failed to show that it is DOE’s responsibility to come up with a better formula for each distinct type of program, it is incumbent on each school to provide better data or methodology—if it exists—during the appeal process. A. Subject-Matter Jurisdiction The DOE first argues that there has been no “final” agency action over which the Court has jurisdiction for an as-applied challenge. See Def. Mot. Summ. J. at 16–18. It contends that the earliest a program could be deemed ineligible for federal loan guarantees would be 2018, and that schools could still submit an alternate earnings appeal. Def.’s Mot. at 17–18. Without a “final agency action” having been taken against any AACS member school, the DOE argues that AACS does not have associational standing to pursue this case. See Def.’s Mot. at 17 (“Plaintiff here points to no [final] action taken against it or any of its member cosmetology schools.”); Def.’s Reply at 8. However, the DOE concedes that the schools that have already had to post warnings have been subject to final agency action. See Tr. Oral Arg. (“Tr.”) at 40–42, 50, ECF No. 25. The Court will first analyze whether the DOE has taken final agency action, and then turn to whether AACS has standing to maintain this action. Because requiring schools to post 17 warnings constitutes final agency action and some schools have already posted those warnings, the Court concludes that final agency action has been taken against, at least, three member- schools, and the AACS has associational standing to pursue claims on these schools’ behalf. 1. AACS Challenges Final Agency Action The DOE argues that AACS has not identified a final agency action that DOE has applied to AACS or a member-school. Def.’s Mot. Summ. J. at 16–17. In support of this argument, DOE notes that “no program can become ineligible for Title IV funding because no such decision has been issued,” and that member-schools can submit alternate earnings appeals to avert losing federal funding. Def.’s Mot. Summ. J. at 17–18. As noted above, the DOE concedes that the schools that have already had to post warnings have been subject to final agency action. See Tr. at 40–42, 50. Plaintiff seeks judicial review of the DOE’s GE regulations pursuant to the APA. Compl. ¶ 53. The APA provides for judicial review of “final agency action.” 5 U.S.C. § 704; see also Hall v. Sebelius,689 F. Supp. 2d 10
, 17 (D.D.C. 2009) (“Courts may not . . . review non-final agency actions.”). A final agency action is one that both “marks the consummation of the agency’s decision making process” as opposed to action that is “of a merely tentative or interlocutory nature,” and determines the rights or obligations of the regulated entities. Bennett v. Spear,520 U.S. 154
, 177–78 (1997). “The fact that an agency will apply a regulation if certain events take place in the future does not satisfy the final agency action requirement for purposes of an as-applied challenge.” Nat’l Wildlife Fed’n v. EPA,945 F. Supp. 2d 39
, 45 (D.D.C. 2013). A party generally need not administratively appeal an action for it to be considered “final” under the APA. 5 U.S.C. § 704 (“Except as otherwise expressly required by statute, agency action otherwise final is final for the purposes of [§ 704] whether or not there has 18 been . . . an appeal to superior agency authority.”). This is because, unlike with the doctrine of exhaustion, “the finality requirement is concerned with whether the initial decisionmaker has arrived at a definitive position on the issue that inflicts an actual, concrete injury.” Williamson Cty. Reg’l Planning Comm’n v. Hamilton Bank,473 U.S. 172
, 193 (1985); accord Darby v. Cisneros,509 U.S. 137
, 144 (1993). In Dole v. United Steelworkers of America, the Supreme Court analyzed OSHA disclosure rules, which the Court characterized as rules that “protect by providing access to information about what dangers exist and how these dangers can be avoided.”494 U.S. 26
, 28 (1990). In deciding what constitutes final agency action, the Court said that [t]he promulgation of a disclosure rule is a final agency action that represents a substantive regulatory choice. An agency charged with protecting employees from hazardous chemicals has a variety of regulatory weapons from which to choose: It can ban the chemical altogether; it can mandate specified safety measures, such as gloves or goggles; or it can require labels or other warnings alerting users to dangers and recommended precautions. An agency chooses to impose a warning requirement because it believes that such a requirement is the least intrusive measure that will sufficiently protect the public, not because the measure is a means of acquiring information useful in performing some other agency function.Id. at 33–34.
Consistent with the reasoning under Dole, the warning DOE regulations require for schools failing the GE rules constitutes final agency action once they are triggered. The requirement for schools to post warnings was not an interlocutory measure aimed at acquiring information for a later agency action, but rather a policy implemented with the aim of protecting students. See 79 Fed. Reg. at 64,901 (“[T]he [warning] requirements . . . balance the need to provide prospective students with critical information at a time when they can most benefit from it with ensuring that the administrative burden for institutions is not unnecessarily increased.”). It was the consummation of the DOE’s decisionmaking process with respect to schools that 19 failed under the GE rules and did not file appeals, thus triggering the regulations’ warning obligations. Thus, at least some of the AACS schools have been subject to this final agency action for two reasons. First—and most obviously—at least three of AACS’s member-schools have already posted the required warnings. See Cramp Decl. ¶ 3. Indeed, the government admitted as much at oral argument, and conceded that those schools have been subject to final agency action. See Tr. at 40–42, 50. Second, neither AACS nor its member-schools need administratively appeal the warning requirement once they are subject to it in order to challenge the regulations under the APA. See 5 U.S.C. § 704. Therefore, the Court finds that AACS is challenging final agency action as defined under the APA. 6 6 The flip-side of the DOE’s final-agency-action argument is that, to the extent Plaintiff actually seeks to assert a facial challenge, such a claim is precluded. Because AACS challenges final agency action and does not bring a facial challenge, the Court rejects the DOE’s argument, which is apparently made in the alternative. See Tr. at 12. As the Supreme Court has acknowledged on multiple occasions, “the distinction between facial and as-applied challenges is not so well defined that it has some automatic effect or that it must always control the pleadings and disposition in every case involving a constitutional challenge.” Citizens United v. FEC,558 U.S. 310
, 331 (2010); see also Elgin v. Dep’t of Treasury,567 U.S. 1
, 15 (2012); In re Methyl Tertiary Butyl Ether Prod. Liab. Litig.,674 F. Supp. 2d 494
, 504 (S.D.N.Y. 2009) (“There are few areas of the law that are as confused and conflicted as the law governing facial challenges.”). In the administrative-law context, the distinction between facial and as-applied challenges is even more elusive, and has little analytical value. Plunkett v. Castro,67 F. Supp. 3d 1
, 21 n.8 (D.D.C. 2014). “The concept of facial and as-applied challenges comes from constitutional law, not administrative law, and in that context scholars have recognized that often the as applied/facial dichotomy represents nothing more than a distinction without a difference.”Id. Indeed, focus
on the dichotomy “has only served to confuse each and obscure the real issues that animate the outcome in a given case.”Id. (quoting Alex
Kreit, Making Sense of Facial and As- Applied Challenges, 18 Wm. & Mary Bill Rts. J. 657, 660 (2010)). As a result, in the administrative law context, courts often classify challenges based on whether it appears, from the complaint, that the plaintiff is asserting that under no set of circumstances could the regulation be in accord with the statute. Seeid. at 20
(noting that a “[c]ourt could not have classified [a] challenge as a classic facial challenge because . . . it [was] not difficult to identify situations in which [the regulations] could be validly applied even under [the p]laintiff’s reading of the statute.” (internal quotation marks and alterations omitted)). Because AACS does not bring such a challenge but instead seeks review of final agency action, the Court rejects the DOE’s argument. 20 2. AACS Has Associational Standing Because the Court has a sua sponte obligation to ascertain that it has subject-matter jurisdiction and Defendant mentioned the issue in its reply, the Court next analyzes whether AACS has standing to bring claims on behalf of any of its member schools that has suffered an injury as a result of the GE regulations. The DOE asserts that AACS lacks standing because it was required to identify, by name, at least one member-school who actually had to post the warnings at the time of pleading. See Def.’s Reply at 6–8. The Court concludes that AACS indeed possesses such standing. “An organization can have standing on its own behalf . . . or on behalf of its members.” Abigail All. for Better Access to Developmental Drugs v. Eschenbach,469 F.3d 129
, 132 (D.C. Cir. 2006) (internal citations omitted). Standing based on an organization’s own injury— “organizational standing”—requires an organization, “like an individual plaintiff, to show actual or threatened injury in fact that is fairly traceable to the alleged illegal action and likely to be redressed by a favorable court decision.” Equal Rights Ctr. v. Post Properties, Inc.,633 F.3d 1136
, 1138 (D.C. Cir. 2011) (internal quotations omitted). “Associational standing,” in comparison, allows an organization to sue on behalf of its members to protect their interests. Common Purpose USA, Inc. v. Obama, --- F. Supp. 3d ---, No. 16-cv-0345,2016 WL 7496105
, at *4 (D.D.C. Dec. 30, 2016). For an organization to sue on behalf of its members through associational standing, it must show that (1) “its members would otherwise have standing to sue in their own right,” (2) “the interests it seeks to protect are germane to the organization’s purpose,” and (3) “neither the claim asserted nor the relief requested requires the participation of individual members in the lawsuit.” United Food & Commercial Workers Union Local 751 v. Brown Grp., Inc.,517 U.S. 21
544, 553 (1996) (quoting Hunt v. Wash. State Apple Advert. Comm’n,432 U.S. 333
, 343 (1977)). The third requirement “ha[s] been understood to preclude associational standing when an organization seeks damages on behalf of its members.”Id. at 554.
Thus, when an association seeks prospective relief on behalf of its members, actual participation by individual members is generally not required. Warth v. Seldin,422 U.S. 490
, 515 (1975) (“If in a proper case the association seeks a declaration, injunction, or some other form of prospective relief, it can reasonably be supposed that the remedy, if granted, will inure to the benefit of those members of the association actually injured.”). But see Ctr. for Auto Safety v. Nat'l Highway Traffic Safety Admin.,793 F.2d 1322
, 1329 n.44 (D.C. Cir. 1986) (“Courts have required individual participation in circumstances where there are conflicts of interest within the organization or when a specific factual setting is needed to illuminate the issues.”). Courts are somewhat split on whether an organization must identify affected members by name to meet the first requirement—that members would otherwise have standing to sue in their own right. In Summers v. Earth Island Institute, the Supreme Court required an association to “identify members who have suffered the requisite harm” to establish associational standing.555 U.S. 488
, 499 (2009). Lower courts have found that, although an association must identify members, it need not identify members by name at the pleading stage to fulfill the first prong of the test for associational standing. See, e.g., Ass’n of Am. Physicians & Surgeons, Inc. v. Sebelius,901 F. Supp. 2d 19
, 31 (D.D.C. 2012) (compiling cases); Bldg. & Const. Trades Council of Buffalo & Vicinity v. Downtown Dev., Inc.,448 F.3d 138
, 145 (2d Cir. 2006). However, these same courts have suggested that an association may need to name specific members at the summary-judgment stage. See Downtown Dev.,Inc., 448 F.3d at 144
–45 (“The defendants’ argument that the persons allegedly injured must be identified by name might have 22 some validity if this litigation were at the summary judgment stage.”). This naming requirement is imposed because standing “must be supported in the same way as any other matter on which the plaintiff bears the burden of proof, [that is], with the manner and degree of evidence required at the successive stages of the litigation.” Ass’n of Am. Physicians & Surgeons, Inc., 901 F. Supp. 2d at 31 (quoting Bennett v. Spear,520 U.S. 154
, 167–68 (1997). At the pleading stage, “general factual allegations of injury . . . may suffice . . . [because] we presume that general factual allegations embrace those specific facts that are necessary to support the claim.”Bennett, 520 U.S. at 168
(quoting Lujan v. Defs. of Wildlife,504 U.S. 555
, 561 (1992)) (internal quotation marks and citation omitted); accord Ass’n of Am. Physicians & Surgeons,Inc., 901 F. Supp. 2d at 31
. Once discovery on the issue is complete, the adequacy of the specific standing allegations can be tested. Downtown Dev.,Inc., 448 F.3d at 144
–45. Cases in this district suggest that a plaintiff–association must identify injured parties at the pleading stage, not necessarily that they be named in the complaint. In Western Wood Preservers Institute v. McHugh, the court, ruling on a motion to reconsider, merely identified that courts had divergent views on whether an individual member needed to be identified by name at the pleading stage.292 F.R.D. 145
, 148 (D.D.C. 2013). Rather than state that any court was correct on the issue, the court simply concluded that the existence of diverging viewpoints did not make the court’s underlying decision “clearly erroneous.”Id. In the
two cases that the Western Wood Preservers Institute court identified, the court did not squarely address the issue of whether an individual member must be named, so long as it is identified. In Californians for Renewable Energy v. Department of Energy, the court analyzed the injury of the only named associational member because “it is ‘not enough to aver that unidentified members have been injured.’”860 F. Supp. 2d 44
, 48 (D.D.C. 2012) (quoting Chamber of Commerce v. EPA, 64223 F.3d 192
, 199 (D.C. Cir. 2011)) (emphasis added). To conclude that an individual member must be named to ensure that it is identified is unwarranted. In the second case cited by the court in Western Wood Preservers Institute, the court merely held that because the plaintiffs did not respond to the defendants’ argument that an organization must “specifically identif[y] . . . members who suffered the requisite harm,” the plaintiffs conceded they did not have associational standing. Common Cause v. Biden,909 F. Supp. 2d 9
, 21 n.6 (D.D.C. 2012), aff’d on other grounds,748 F.3d 1280
(D.C. Cir. 2014). These cases do not require a plaintiff to specifically name an injured member in the complaint so long as it is identified. The DOE did not take a contrary position at oral argument once it became clear that AACS would name specific members in a supplemental filing. Tr. at 41–43. AACS meets all three requirements for associational standing. AACS has shown that at least some of its members would have standing to sue in their own right. AACS identified certain member-schools that did not appeal the final GE rates, and thus were required by the regulations to issue the warnings. Civitano Decl. ¶ 32 (stating that “AACS member schools who cannot appeal . . . and who did not file a notice of appeal . . . [were] required to deliver the warning . . . no later than February 8, 2017). And even assuming that AACS was required to identify specific schools by name at the summary judgment stage, it did so, naming three schools who have already had to post the warnings. Cramp Decl. ¶ 3. Second, this lawsuit is germane to the purpose of AACS. AACS is a nonprofit association representing cosmetology programs, most of whom are subject to the GE rules promulgated by the DOE. Compl. ¶ 1; Civitano Decl. ¶ 6. Ensuring that member schools maintain Title IV federal loan assistance eligibility is in line with the purpose of the group, which is to represent the interests of its member cosmetology schools. 24 Third, this case does not require the participation of individual member-schools. AACS seeks injunctive and declaratory relief on behalf of the member-schools, not damages. See Compl. at 10. Thus, as a general rule, individual participation is not necessary. SeeWarth, 422 U.S. at 515
. The DOE has not identified anything about this case that leads the Court to believe individual participation is necessary for any other reason; there are no apparent conflicts of interest that could arise, and the Court does not need individualized facts from the member- schools to resolve the case. See Ctr. for AutoSafety, 793 F.2d at 1329
n.44. Thus, AACS has established that it has associational standing to pursue the claims on behalf of its member schools that have suffered injury as a result of the GE regulations. B. Arbitrary and Capricious Finally, having run the gauntlet of the DOE’s threshold arguments, the Court now reaches the merits of AACS’s challenge to the GE regulations. AACS argues that the DOE acted arbitrarily and capriciously in disregarding the widespread underreporting of income in the cosmetology industry. See Pl.’s Mot. Summ. J. at 12. AACS specifically contends that the DOE (1) knowingly used income data that was faulty and that would lead to seriously flawed results, despite commenters’ concerns, and (2) did not consider credible alternatives. See Pl.’s Mot. Summ. J. at 12. In support of its first argument, AACS asserts that not only is the SSA data incorrect, but that the DOE actually acknowledged that it failed to take underreporting into account in response to commenters. See Pl.’s Mot. Summ. J. at 17–19. Plaintiff further asserts that the DOE failed to adequately explain why it did not account for underreporting, because civil and criminal penalties are irrelevant to the issues of gainful employment. See Pl.’s Mot. Summ. J. at 19–20. To support its argument that viable alternatives existed, Plaintiff cites to proposals by commenters during notice and comment, and argues that the DOE could have 25 conducted a survey to estimate unreported income levels in the industry and adjusted each school’s graduates’ earnings accordingly. See Pl.’s Mot. Summ. J. at 8–9. The Court will analyze each of these arguments in turn, but first addresses the DOE’s argument that the availability of appeal gives its regulations more leeway. 1. The Court Analyzes Whether the Entire Scheme is Arbitrary or Capricious The DOE argues that the Court should analyze whether the adoption of the entire D/E- calculation scheme was arbitrary and capricious as applied to AACS member schools, as opposed to only focusing on the DOE’s presumptive use of SSA data. Def.’s Mot. Summ. J. at 8–9, 17–18; Def.’s Reply at 4–5. AACS argues that the Court must look at each piece separately, meaning that the alternate-earnings appeal process has no bearing on whether the DOE’s decision to presumptively use SSA data was arbitrary and capricious. The Court thus addresses, as a threshold matter, whether the existence of the alternate-earnings appeal process alters the Court’s standard of review with respect to the DOE’s use of SSA data. See Connors v. Cedar Coal Co., No. 90-cv-0260,1991 WL 102640
, at *2 (D.D.C. June 4, 1991) (“As a threshold matter the Court must determine the appropriate standard of review to apply . . . .”). In general, the court must look to an agency’s final rule as a whole to determine whether the agency gave substantial consideration to issues raised during the notice-and-comment period. See Chamber of Commerce of United States of Am. v. NLRB,118 F. Supp. 3d 171
, 217–18 (D.D.C. 2015). One cannot assert that a particular portion of a regulation is arbitrary or capricious because it does not address a shortcoming when another part of the regulation squarely addresses it. Seeid. The sole
authority that AACS cites for the proposition that the Court should consider the DOE’s use of SSA data in a vacuum is Leather Industries of America, Inc. v. EPA. There, the 26 plaintiff challenged the EPA’s adoption of certain caps on pollutants.40 F.3d 392
, 399 (D.C. Cir. 1994). The caps themselves were not strict requirements, but rather one potential means of meeting EPA standards. Seeid. (“In defending
the . . . caps, the EPA suggests that because the . . . caps do no more than offer land appliers an additional option, rather than impose a mandatory requirement, they should withstand review. Land appliers need not comply with [the caps] . . . .”). But if an entity’s pollutants did happen to meet the cap, it avoided significant regulatory control, recordkeeping obligations, and labeling requirements. Seeid. Because the
caps provided “significant relief from the otherwise controlling regulatory standards,” the D.C. Circuit reasoned that, by the same token, the caps created “not insignificant burdens” for entities who could not meet them.Id. The court
thus held the caps to the same standard that it would have had it been the sole means of passing regulatory muster.Id. Later, in
American Iron and Steel Institute v. EPA, the D.C. Circuit analyzed EPA limits on water pollutants promulgated under the Clean Water Act.115 F.3d 979
, 985 (D.C. Cir. 1997). To discharge pollutants into the Great Lakes, the Clean Water Act requires entities to have permits, each of which comes with specific discharge limits based on, among other things, the quality of water and the levels of pollution-control technology.Id. at 990.
To formulate specific discharge limits for entities, the EPA used two different methodologies, known as “Tier I” and “Tier II.”Id. at 991.
The difference between Tier I and Tier II is the amount of toxicological data they required to calculate discharge limits.Id. Tier I
data required significantly more toxicological data than Tier II. Tier II was used as a fallback methodology when insufficient toxicology data was available.Id. at 991
n.5. Tier II also resulted in more stringent toxicology limits, making compliance more difficult for certain regulated entities.Id. at 993.
The plaintiff, the American Iron and Steel Institute, whose limits were determined by Tier 27 II, complained that the regulations unfairly subjected it to more stringent requirements than it did to entities in situations where more toxicological data was available. Seeid. The D.C.
Circuit upheld the tiered approach because the methodologies were based on the best-available data in the face of imperfect data, and differing compliance burdens on industry did not automatically make something arbitrary or capricious.Id. Distinguishing Leather
Industries of America, Inc., the circuit held that “[t]he Tier II methodology, by scaling the uncertainty factors to reflect existing data, properly correlates risk with knowledge.”Id. These cases
are no doubt similar. The major issue that the D.C. Circuit found with the “optional” regulatory caps in Leather Industries was that meeting them excused certain regulated entities from significant legalobligations. 40 F.3d at 399
. Thus, if the caps were arbitrary, entities would be subjected to burdensome regulations randomly based on the types of pollutants they produce, while others would avoid the scheme altogether.Id. In comparison,
in American Iron and Steel Institute, the differing standards were created based on the relative availability ofdata. 115 F.3d at 993
. Although entities able to use the Tier I methodology were ultimately subjected to laxer standards, those standards were the result of having more accurate data available. Seeid. It was
not as if those subjected to Tier II standards were forced to adhere to more stringent standards separate from the overall regulatory scheme; the EPA decided to “err on the side of overprotection” in the face of uncertainty. LeatherIndustries, 40 F.3d at 408
(quotation marks omitted) (quoting Am. Petroleum Inst. v. Costle,665 F.2d 1176
, 1186 (D.C. Cir. 1981)). Plaintiff has not cited to any cases, following Leather Industries or otherwise, suggesting that agencies cannot require regulated entities to undergo different compliance processes based on the relative availability of data. See generally Pl.’s Opp’n. 28 There is no reason for the Court to analyze the DOE’s use of SSA data in a vacuum. As a general matter, the Court looks to the entire regulatory scheme to determine whether an agency acted arbitrarily and capriciously. Chamber of Commerce of United States of Am.,118 F. Supp. 3d
at 217–18. Leather Industries, the sole case relied upon by AACS, does not affect the Court’s analysis. The DOE’s GE regulations do not exempt programs from the regulatory scheme altogether if they happen to have a certain level of reported income. See 34 C.F.R. § 668.409. Instead, the GE regulations permit multiple avenues of compliance based on the relative availability of information, as in American Iron and Steel Institute. Seeid. The DOE
presumptively uses SSA data to determine graduates’ earnings, because it is a highly accurate indicator of reported income, and no better source of earnings data broadly exists. See APSCUII, 110 F. Supp. 3d at 195
; 79 Fed. Reg. at 64,956. But for situations where reported income is an insufficient representation of a program’s average graduate-earnings, the DOE created a separate—and unavoidably more burdensome—process for calculating earnings based on surveying an individual program’s specific graduates. See 34 C.F.R. §§ 668.406, 668.409. Although the alternate-earnings appeal process makes compliance with the regulatory regime more difficult for certain entities, the difficulty is the result of imperfect data, not an arbitrary designation that reported earnings are superior to unreported earnings. Thus, rather than look at the DOE’s use of SSA data in a vacuum, the Court analyzes the DOE’s regulatory scheme as a whole to determine whether it is arbitrary and capricious as applied to AACS member schools. See American Iron and SteelInstitute, 115 F.3d at 993
. 2. The DOE Acted Arbitrarily and Capriciously with Respect to the Problem of Underreporting AACS argues that the DOE uses “income data that is manifestly bad in the context of the application of the GE Rule” to its member-schools. Pl.’s Mot. at 17; see also Compl. ¶ 1. 29 Plaintiff notes that the DOE even acknowledged that the data was flawed when it stated that it was aware that “some self-employed individuals may fail to report, or underreport, their earnings,” and that experts submitted evidence that tip income and self-employment income are underreported by as much as 60% in, among others, the cosmetology industry. Pl.’s Mot. at 18– 19. AACS further argues that the DOE’s justification for accepting the flaws in the data—that there are civil and criminal penalties for failing to report taxable income—is not reasoned, and has no rational connection to the issues raised by commenters. Pl.’s Mot. at 19–20. DOE responds that its justification regarding civil and criminal penalties was rational and that programs can seek a different metric through an alternate-earnings appeal. Def.’s Mot. Summ. J. at 21–23. Under 5 U.S.C. § 706(2)(A), a reviewing court must set aside agency actions that are arbitrary or capricious. The touchstone of arbitrary-and-capricious review is reasoned decisionmaking. Harry T. Edwards, Linda A. Elliott & Marin K. Levy, The Requirement of Reasoned Decisionmaking: Arbitrary and Capricious Review Under the APA, Federal Standards of Review Ch. XV (Apr. 2013) (“Federal Standards of Review Ch. XV”) (citing Motor Vehicle Mfrs. Ass’n of U.S., Inc. v. State Farm Mut. Auto. Ins. Co.,463 U.S. 29
, 43 (1983)). Thus, a court cannot set aside an agency rule that is “rational, based on consideration of the relevant factors[,] and within the scope of the authority delegated to the agency by the statute.” StateFarm, 463 U.S. at 42
–43. Although this is a deferential standard, it still requires a reviewing court to take a “hard look” at an agency’s reasoning. See Federal Standards of Review Ch. XV (quoting Nat’l Lime Ass’n v. EPA,627 F.2d 416
, 451 n.126 (D.C. Cir. 1980)). In the context of notice-and-comment rulemaking, “[t]he function of the court is to assure that the agency has given reasoned consideration to all the material facts and issues.” Greater Boston Television 30 Corp. v. FCC,444 F.2d 841
, 851 (D.C. Cir. 1970). This requires the agency to “articulate with reasonable clarity its reasons for decision, and identify the significance of the crucial facts.”Id. An agency
action is arbitrary and capricious if the agency fails to consider all of the relevant factors in reaching its decision. See N.Y. Cross Harbor R.R. v. Surface Transp. Bd.,374 F.3d 1177
, 1181 (D.C. Cir. 2004). An agency rule is also arbitrary and capricious if the agency “entirely failed to consider an important aspect of the problem, offered an explanation for its decision that runs counter to the evidence before [it], or [the explanation] is so implausible that it could not be ascribed to a difference in view or the product of agency expertise.” State Farm Mut. Auto. Ins.Co., 463 U.S. at 43
. Thus, an “agency must examine the relevant data and articulate a satisfactory explanation for its action including a rational connection between the facts found and the choice made.” Int’l Ladies’ Garment Workers’ Union v. Donovan,722 F.2d 795
, 814 (D.C. Cir. 1983) (quotation marks and citation omitted). An agency also must give a reasoned response explaining how it resolved any significant problems raised during notice and comment.Id. at 818.
When an agency’s reasoning involves a non-obvious, essential factual assumption, the agency must justify that assumption “notwithstanding a party’s failure to challenge [it], as part of its affirmative duty to engage in rational decisionmaking.” Am. Mar. Ass’n v. United States,766 F.2d 545
, 566 n.30 (D.C. Cir. 1985). With that said, “[a]n agency has discretion to design rules that can be broadly applied, sacrificing some measure of ‘fit’ for administrability,” but “must justify its failure to take account of circumstances that appear to warrant different treatment for different parties.’” Leather Indus. of Am.,Inc., 40 F.3d at 403
(quoting Petroleum Commc’ns v. FCC,22 F.3d 1164
, 1172 (D.C. Cir. 1994)); see also Am. Pub. Gas Ass’n v. Fed. Power Comm’n,567 F.2d 1016
, 1046 (D.C. Cir. 1977) (internal quotations and citations omitted) (“Courts cannot fairly demand 31 the perfect at the expense of the achievable.”). Shortcomings and analytical weak points, if justified or explained in light of practical constraints, do not render a regulation arbitrary or capricious. See City of Brookings Mun. Tel. Co. v. FCC,822 F.2d 1153
, 1168 (D.C. Cir. 1987). Indeed, even the “best available data standard leaves room for error, so long as more reliable data did not exist at the time of the agency decision.” Baystate Med. Ctr. v. Leavitt,545 F. Supp. 2d 20
, 49 (D.D.C. 2008), amended in part,587 F. Supp. 2d 37
(D.D.C. 2008), judgment entered,587 F. Supp. 2d 44
(D.D.C. 2008). The DOE’s overall methodology for determining a program’s average income is arbitrary and capricious. The DOE certainly had discretion to use SSA data as the presumptive measure of average income for GE programs. The Court has no reason to believe that SSA data is anything but precise with respect to reported earnings, and AACS does not challenge the regulations on the grounds that SSA data is in any way flawed with respect to reported income. See generally Pl.’s Mot. Summ. J. Nor does it appear categorically flawed to presume that reported earnings are the same as overall earnings in many cases. Indeed, a court in this district has already held that the DOE “used the Social Security data . . . only after determining that no better data existed, . . . only after rejecting other possible sources of data[, including the BLS,] as inadequate . . ., and only after answering commenters’ concerns regarding the data.” APSCUII, 110 F. Supp. 3d at 195
. The D.C. Circuit affirmed that opinion. 640 F. App’x 5. Although the SSA data is concededly incomplete because it measures reported income instead of total income, the DOE has discretion to sacrifice some measure of fit for the sake of administrability. See Leather Indus. of Am.,Inc., 40 F.3d at 403
; see also Am. Pub. GasAss’n, 567 F.2d at 1046
; City of Brookings Mun. Tel.Co., 822 F.2d at 1168
; Baystate Med. Ctr. v.Leavitt, 545 F. Supp. 2d at 32
49. And devising formulas for each program based on its own unique mix of self-employment, cash income, and tip income would quickly become unadministrable. But wooden use of this SSA data is problematic. As commenters noted during the notice- and-comment period, graduates of certain programs—including cosmetology programs— underreport their income with far greater frequency than graduates of other programs. J.A. 797; see also Civitano Decl. ¶ 28. One commenter, citing a Stanford study, noted that both tip and self-employment income are underreported by around 60%. J.A. 595, 787; see also Civitano Decl. ¶ 28; Brodie Decl. at 493. The DOE explicitly acknowledged this problem, noting that tips make up “about half of earnings in service occupations such as cosmetology,” and that many people in the industry are self-employed. See 79 Fed. Reg. at 64,955. So, although SSA data is highly accurate in some respects and is thus a useful starting point for determining average earnings, it has significant shortcomings—at least for certain occupations. Pursuant to its obligations to respond to significant problems raised during the notice-and comment period, see Int’l Ladies’ Garment Workers’Union, 722 F.2d at 818
, the DOE dealt with the underreporting issue in two ways. First, it relied on the civil and criminal penalties associated with failing to report income. 79 Fed. Reg. at 64,955–56. Second, it noted that SSA data is only one of three possible sources of earnings data; programs could also appeal for the use of state-sponsored data or survey-based data.Id. at 64,956
–57. The first justification does not grapple with the issue in any meaningful way. The DOE obviously did not demonstrate that the legal disincentives for failing to report meant that the commenters’ data was incorrect; the DOE itself acknowledged that the problem existed. See 79 Fed. Reg. at 64,955. There is also no basis for the inference that the issue of underreporting would somehow subside under the new GE regulations. Civil and criminal penalties existed 33 before and after the regulations took effect, and the DOE regulations did not add any additional deterrent for underreporting. To the extent the DOE believed that the penalties somehow would correct for underreporting, it was required to explain this assumption explicitly. See Am. Mar. Ass’n v. UnitedStates, 766 F.2d at 566
n.30. The agency thus had no rational basis for concluding that rates of reporting would change at all after the regulations were to go into effect. This was not a “satisfactory explanation” for why the DOE chose to adopt the GE regulations notwithstanding the issue of underreporting. The DOE’s second response more directly addresses the commenters’ concerns, but nonetheless comes up short. Although the commenters identified the issue of underreporting, they did not provide a better data set that the DOE could use to measure overall income, nor did they suggest a specific adjustment factor that the DOE could use for the various programs that would inevitably claim underreporting as a problem with their earnings data. APSCU II, 110 F. Supp. 3d at 195; 79 Fed. Reg. at 64,955–56. Nor did the commenters propose an alternative calculus to balance fit and administrability.Id. at 64,955–56.
The commenter’s difficulties producing such data is understandable. The problem of underreporting extends across multiple industries and even across individual entities within those industries. While cosmetology schools’ graduates engage in, on average, a certain amount of underreporting, other industries likely also experience different levels of underreporting based on factors like the amount of tips their graduates earn, how frequently their graduates are self-employed, and the amount of tax- compliance training their graduates receive. Within these industries, individual schools experience varying levels of underreporting. A cosmetology school that frequently sends graduates to nationwide chains or upscale salons (which may have higher percentages of 34 payments made by credit card) likely has lower rates of graduate underreporting than schools that graduate large numbers of self-employed cosmetologists. The DOE’s attempt to address these many issues came in the form of an alternate earnings appeal process, which the DOE cited as its other justification for its use of SSA data in the face of the underreporting problem. 79 Fed. Reg. at 64,956. On the surface, this justification seems reasonable. Assuming that every program is capable of mounting an appeal, the data would yield perfectly tailored D/E rates for individual programs regardless of their levels of underreporting and the unique characteristics of the occupations in which their particular graduates are employed. But that assumption is the fly in the DOE’s reasoned-decisionmaking ointment. As noted above, the DOE “must justify the assumptions essential to its actions, notwithstanding a party’s failure to challenge those assumptions before the agency, as part of its affirmative duty to engage in rational decisionmaking.” Am. Mar.Ass’n, 766 F.2d at 567
n.30. The DOE assumed that programs would be able to effectively use the alternate-earnings appeal process. See generally 79 Fed. Reg. 64,890. It also assumed that the required response rates— 50 percent for state-sponsored data systems and nearly 100 percent for school-specific surveys— had some statistical significance. See 79 Fed. Reg. at 64,995–96. But the DOE did not explain these assumptions.7 See 79 Fed. Reg. at 64,995–96; see generally 79 Fed. Reg. 64,890. The 7 Although the DOE explains why it adopted the NCES’s survey standards by noting that it expected the NCES, as a national institute devoted to collecting education data, to “balance the need for reliable data with our intent to provide a meaningful opportunity for appeal,” it never explained why it imposed the requirement that the survey be given to almost all students, and indeed that the survey produce the “the alternate earnings of [almost] all the students who completed the program” during the relevant time period. 79 Fed. Reg. at 65,010. Nor did the DOE explain why it imposed the 50 percent requirement for state-sponsored surveys. See generally 79 Fed. Reg. 64,890. Courts routinely accept survey evidence based on the statistical significance of the survey size. See, e.g., Ethyl Corp. v. EPA,541 F.2d 1
, 51 n.112 (D.C. Cir. 1976); Sexcius v. District of Columbia,839 F. Supp. 919
, 924 n.11 (D.D.C. 1993). The law does not generally require 100-percent response rates. See EthylCorp., 541 F.2d at 51
n.112. 35 DOE did not, for example, suggest that a certain amount of survey compliance ensures a certain amount of accuracy, let alone weigh data accuracy against feasibility of compliance. See 79 Fed. Reg. at 64,995–96. And despite not having the burden on this point, AACS has produced evidence showing that cosmetology schools are simply unable to mount appeals because of the onerous regulatory prerequisites to doing so. See Varol Decl. ¶¶ 8–9; Rosenberg Decl. ¶¶ 8–9. In light of the DOE’s affirmative obligation to justify the assumptions underlying its alternate- earnings appeal process, it has not met its burden of engaging in reasoned decisionmaking.8 See Am. Mar.Ass’n, 766 F.2d at 566
n.30. 3. The DOE Did Not Act Arbitrarily or Capriciously in Rejecting the Alternative Identified by AACS AACS further contends that the DOE failed to adequately consider reasonable alternatives presented during the notice-and-comment period. See Pl.’s Mot. Summ. J. at 20. It specifically points to Dr. Bettinger’s suggestion that the DOE could use average-income figures from the Bureau of Labor Statistics, which derives its data from surveys, rather than from income reported to the IRS. The DOE responds that it adequately justified its rejection of the Bureau of Labor Statistics’ data on the grounds that it could not be individualized to particular programs. Def.’s Mot. Summ. J. at 9–11. 8 AACS suggests that the DOE should be responsible for gathering earnings data for individual programs instead of forcing those programs to gather their own data in the context of an appeal. See Pl.’s Mot. Summ. J. at 8–10. Absent some statutory obligation to the contrary, the agency’s burden is to use the best available data, not the best possible data. See Baystate Med. Ctr. v. Leavitt,545 F. Supp. 2d 20
, 41 (D.D.C. 2008), amended in part,587 F. Supp. 2d 37
(D.D.C. 2008) (gathering cases), judgment entered,587 F. Supp. 2d 44
(D.D.C. 2008); see also APSCUII, 110 F. Supp. 3d at 195
. The best-available-data standard “makes it clear that the [agency] has no obligation to conduct independent studies.” Sw. Ctr. for Biological Diversity v. Babbitt,215 F.3d 58
, 60 (D.C. Cir. 2000). Thus, AACS’s argument has no merit. 36 The arbitrary-and-capricious standard described above also applies to an agency’s consideration of regulatory alternatives. See Pillai v. Civil Aeronautics Bd.,485 F.2d 1018
, 1027 (D.C. Cir. 1973) (finding the “artificial narrowing of options to be arbitrary and capricious”); accord Int’l Ladies’ Garment Workers’Union, 722 F.2d at 817
. This does not mean that an agency must consider all possible policy alternatives in reaching its decision. State Farm Mut. Auto. Ins.Co., 463 U.S. at 51
. But the agency must address obviously germane alternatives proposed by commenters during the notice-and-comment period. See Int’l Ladies’ Garment Workers’Union, 722 F.2d at 817
–18. The agency must give rational consideration to each of these alternatives and an “adequate explanation” for each rejection. Seeid. (citing Action
on Smoking and Health v. Civil Aeronautics Bd.,699 F.2d 1209
(D.C. Cir. 1983), supplemented by713 F.2d 795
(D.C. Cir. 1983)). The DOE adequately explained why it did not use the Bureau of Labor Statistics data as opposed to SSA data. Indeed, a court in this district has already held that to be the case. APSCUII, 110 F. Supp. 3d at 195
(holding that the DOE used the best-available data and decided on SSA data “only after rejecting other possible sources of data as inadequate . . . and only after answering commenters’ concerns regarding the data”). As noted above, the GE regulations were created to identify particular schools whose graduates were not making sufficient income to pay back their student debt. See 20 U.S.C. § 1094; see also APSCUI, 681 F.3d at 435
–36. The DOE reasonably concluded that Bureau of Labor Statistics data would detract from that goal, because the data would have to be generalized across fields and then applied to individual schools. 79 Fed. Reg. at 64,955–56. The data would be an average of the graduates of all cosmetology programs, meaning that the lower-performing schools, whose graduates make less money on 37 average, would benefit from higher-earning graduates of other schools, and vice versa.Id. at 64,955.
Plaintiffs suggest that this problem could be alleviated by adding an adjustment factor to the SSA data for each school. Pl.’s Mot. at 9–10. Thus, schools with graduates who have lower reported income will have proportionately low levels of unreported income added to their numbers. Pl.’s Mot. at 9–10. As the DOE concluded in its response to notice and comment, this does not necessarily solve the problem. This methodology assumes that each program’s graduates are employed in the industry for which they are trained at proportionate rates. See 79 Fed. Reg. at 64,955–56. Thus, if a cosmetology program’s graduates cannot find work as cosmetologists and therefore must work in other fields with higher rates of income reporting, that program would still benefit from the average rate of underreporting in the cosmetology industry if the adjustment-factor methodology is used. Seeid. It is
also possible that the survey respondents, who self-identify their careers, have no connection whatsoever to the GE programs, let alone the programs’ present-day graduates. Seeid. at 64,956.
Whether the DOE’s decision to reject the Bureau of Labor Statistics approach suggested by Dr. Bettinger was correct is not at issue here. The Court merely asks whether the decision was reasoned. Because it was rational, based on a consideration of the need to individualize its review of schools, and its reasoning was explained, the Court finds that the DOE did not act arbitrarily and capriciously with respect to the alternative identified by AACS. C. Remedy Given that the DOE acted arbitrarily and capriciously with respect to the problem of underreporting, the Court now must fashion a remedy. In general, courts narrowly tailor remedies to APA violations. Nat’l Treasury Emps. Union v. Chertoff,394 F. Supp. 2d 137
, 145 38 (D.D.C. 2005), rev’d in part on other grounds,452 F.3d 839
(D.C. Cir. 2006) (citing Nat’l Treasury Emps. Union v. Yeutter,918 F.2d 968
, 977 (D.C. Cir. 1990)). Thus, when possible, a court should strike only offending portions of regulations. See id.; Gulf Oil Corp. v. Brock,778 F.2d 834
, 842 (D.C. Cir. 1985). To remedy the DOE’s arbitrarily and capriciously rigid use of SSA data to calculate D/E rates, the Court orders that the DOE may not enforce the numerical survey requirements currently in effect for alternate earnings appeals against AACS member schools. In effect, this removes the arbitrary and capricious reasoning behind the otherwise-valid premise that alternate earnings appeals justify the presumptive use of SSA data. It also avoids upending the entire GE regulatory scheme and means that AACS member institutions need not secure any specific amount of survey responses or state-sponsored data to raise an appeal. AACS member schools will have broader, more feasible options to challenge their D/E rates before they become final, and the DOE will be able to decide, on a case-by-case basis, what modicum of evidence is enough to overcome the presumption in favor of using SSA data for each particular program.9 This remedy will also lead to more tailored administrative-appeal records for District Courts to review in lieu of broad challenges to the overall regulations. 9 As noted above, at least three schools already declined alternate earnings appeals, and have thus had to provide the required warnings to their students. Cramp Decl. ¶ 3. Because the available appeals process was arbitrarily and capriciously narrow when they made their choices, the Court orders the reopening of the appeal period for affected schools. Under 34 C.F.R. § 668.406(e)(2), affected schools may remove the warnings until they decide not to appeal or their appeal fails. They must make their choice by the extended deadline that the DOE set in March. See Emer. Mot. Extension Time, ECF No. 14. 39 VI. CONCLUSION For the foregoing reasons, the Court grants AACS’s motion for summary judgment, denies the DOE’s motion for summary judgment, and denies AACS’s motion for a preliminary injunction. An order consistent with this Memorandum Opinion is separately and contemporaneously issued. Dated: June 28, 2017 RUDOLPH CONTRERAS United States District Judge 40
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