Of course! Love to see a question I can quickly answer!
11.03.2026 15:57
👍 0
🔁 0
💬 0
📌 0
Of course! Love to see a question I can quickly answer!
SAIPE, or, if I want data for non-geographic LEAs, school-level MEPS from the Urban Institute, aggregated to district level. www.urban.org/projects/mod...
Cool workshop in DC in June for higher ed policy academics with less than 10 years of research experience. Deadline to apply is March 1.
www.peer-center.org/research/sum...
On the left, a chart that shows estimates of engagement in school falling over time from 2012 to 2015, with newly phone-free schools following the trend until 2025, where there is a substantial swing upward. The right side notes that this is not proof of causation, but shows that phone-free policies are a potentially promising approach.
I appreciate the nuanced discussion in the slide deck as well!
🍎🦡 I'm recruiting a PhD student in Ed Policy (fall '26) at @uwmadison.bsky.social! Come work with me on college access, admissions, & fin aid in our top-ranked, fully-funded program. I’m especially excited for this student to immediately join our direct admissions RCT team.
Want to see how potential changes to #education Title funding might affect #K-12 districts? Check out this nifty data tool from @kblagg.bsky.social and me! You can choose your own scenarios and see projected impacts to keep up with the policy proposals from Congress. www.urban.org/research/pub...
Haven't been on Bluesky in awhile, but popping in to say I wrote a policy piece based on my transfer paper for @brookings.edu Chalkboard! Many thanks to @econsarahreber.bsky.social, @katharinemeyer.bsky.social, & Michael Hansen for the opportunity and the editing.
www.brookings.edu/articles/com...
📣📣📣The Student Upward Mobility Initiative's RFP will be launched later this month. Sign up for our webinar to learn more: www.urban.org/events/stude...
College and #career readiness measures help students highlight skills and guide colleges & employers in #student selection, advancement, and more. A new Urban #research report reviews 12 key benchmarks and offers a framework for policymakers.
Scatter plot comparing median program debt (x-axis, $50k-$300k) vs 10-year cumulative earnings (y-axis, $0.5M-$2M) for professional programs. Medicine MD programs (pink squares) cluster in upper right with high debt ($150k-$250k) and high earnings ($1.4M-$1.8M). Law programs (blue circles) cluster in the bottom left corner with lower debt and lower earnings, though some elite programs show medicine-level earnings and somewhat higher debt than other law schools. Veterinary Medicine (green diamonds), Dentistry (plus signs) and Pharmacy (X marks) are distributed across middle ranges of earnings, but across wide ranges of the distribution of debt, with almost all pharmacy programs having lower debt than almost all dentistry programs. Physical therapy and veterinary programs have law-like earnings (between half a million and a million over 10 years), and while PT has law-like debt as well, veterinary debt is generally much higher and closer to medical school.
New at @pseocoalition.bsky.social, @julia-turner.bsky.social & I have a new report on grad school debt & earnings over the medium term. For some key professional fields (🩺⚖️🦷💊🐾), we show the varied patterns both within & across areas of study, looking at the first decade of earnings after graduation
5/ One caveat is that I only model the “stick” portion of the plan, but the plan also introduces a “carrot” in the form of PROMISE grants, which allocate dollars to institutions based on criteria including Pell grant volume and graduation outcomes for low-income students.
4/ Because the risk-sharing is for the lifetime of the loan, institutions could be responsible for paying a portion of students’ unpaid annual debt payments for 30 years or more after students leave the institution.
A line graph showing median income of graduates (X-axis) and total amount paid per borrower (Y-axis). Four lines - representing certificate, associate's, bachelor's, and master's degrees, are first flat, then trend down linearly, then are flat again.
3/ The formula itself generates non-linear incentives in some cases. For example, increasing median completer income only matters for programs that would likely owe for their completer cohort.
2/ Because the implementation of the formula would be concurrent with a host of other changes to student lending, potential payments under this risk-sharing plan are difficult for institutions and programs (and researchers!) to predict.
1/ I have a new brief looking at the House reconciliation bill's proposed risk-sharing formula for higher education. I dig into the formula and analyze the incentives it creates: www.urban.org/research/pub...
My colleagues Jason Cohn, Jason Delisle, and I have a new brief out looking at the House Republicans' proposed Repayment Assistance Plan for student loans: www.urban.org/research/pub...
Financial aid administrators are sounding the alarm about how staffing cuts at Federal Student Aid are already negatively affecting students. The bigger changes are likely with the 2026-27 aid cycle, so stay tuned.
NEW: TPC has scored the May 19 House Rules Committee OBBBA tax plan. tpc.io/4klTnVi
Excited to share this new Philly Fed working paper with Tomas Monarrez:
We study how the Great Recession affected college enrollment, student loan borrowing, repayment, and default.
papers.ssrn.com/sol3/papers....
Conference room full of people
It was incredibly energizing to get the Student Upward Mobility Initiative’s first cohort + friends together in DC! Follow along as we learn from researchers, field leaders, and practitioners on our blog www.tfaforms.com/4644066/?tfa...
Georgetown has put together resources for federal workers who may be facing a transition in jobs. These include various seminars and workshops, as well as tuition scholarships providing a discount on many master's programs and certificates. Please spread the word to anybody who might benefit.
An excellent overview of the Department of Education and what’s lost with it’s destruction from Ben Miller www.slowboring.com/p/what-the-d...
House Republicans are reportedly considering changes to which schools are eligible to provide free meals to all students through the Community Eligibility Provision (CEP).
Urban's Emily Gutierrez runs the numbers on how many students and schools would lose CEP: www.urban.org/research/pub...
Why we have and need a US Department of Education
🚨 New from @brookings.edu scholars, an initiative to walk through the federal role in education, particularly the ongoing need for a Department of Education and all it does
www.brookings.edu/collection/w...
Dismantling the Dept of Ed could have major implications for students with disabilities @alexis-weaver.bsky.social www.urban.org/urban-wire/h...
🌟 Did you know that most federal education data are archived in the @urbaninstitute.bsky.social Education Data Explorer? It's a great resource for research and analysis - and there's even a full API version linked in thread. 🌟
#EduSky #EdPoliSky #EduSkyECEC
educationdata.urban.org/data-explorer
How does your state really stack up on the National Assessment of Educational Progress (NAEP)? www.urban.org/research/pub...
🚨NEW PAPER ALERT🚨
A field experiment w/ 13M federal student loan borrowers at risk of delinquency shows we can meaningfully reduce delinquencies with well-designed reminders. Work led by Rob Kuan (of Wharton). Read paper in @pnas.org: www.pnas.org/doi/epub/10....
What reminder ingredients matter?🧵
Researchers and practitioners increasingly rely on administrative data sources to measure family income. However, administrative data sources are often incomplete in their coverage of the population, giving rise to potential bias in family income measures, particularly if coverage deficiencies are not well understood. We focus on the school-aged child population, due to its particular import to research and policy, and because of the unique challenges of linking children to family income information. We find that two of the most significant administrative sources of family income information that permit linking of children and parents—IRS Form 1040 and SNAP participation records—usefully complement each other, potentially reducing coverage bias when used together. In a case study considering how best to measure economic disadvantage rates in the public school student population, we demonstrate the sensitivity of family income statistics to assumptions about individuals who do not appear in administrative data sources.
Figure 3: Population-wide measures of economic disadvantage among public school K-12 students
📈📉New Census Working Paper: "Potential Bias When Using Administrative Data to Measure the Family Income of School-Aged Children" by Leah R. Clark (@leahclark.bsky.social) and Renuka Bhaskar www.census.gov/library/work...
In a similar vein, I love Jonathan Presler's method of looking at school lunch line peers in elementary school: edworkingpapers.com/sites/defaul...