CJ Libassi

@clibassi.bsky.social

phd student in econ and ed at EPSAatTC. formerly: SMPAGWU, College Board, CAPhighered, edpolicyford, ComunidadMadrid, pgcps.

A guaranteed tuition offer shifted low-income students into a top university. The students graduated sooner and earned more selective degrees, narrowing the gap with higher-income peers, from Burland, Delaney, Dynarski, Leu, Libassi, Michelmore, Owen, Quiroga, and Salinas www.nber.org/papers/w35434

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I'm on the #EconJobMarket! I study how policies and childhood environments shape outcomes of low-income & vulnerable kids. In my JMP, I study the effects of allowing youth who would have aged out of foster care at 18 to stay until 21—offering support their peers not in foster care get from parents.

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In case you missed our paper last week or are short on time - we have a quick writeup of it on the Community College Research Center blog: ccrc.tc.columbia.edu/easyblog/new...

New CCRC Research on How Low-Income Students’ First Jobs Predict Earnings After Graduation

Practitioners, policymakers, and researchers have long sought to understand and improve the college experience so that many more students can make it to

ccrc.tc.columbia.edu

CJ Libassi@clibassi.bsky.social · 10mo ago

🧵 New working paper! In joint work w/ @jscottclayton.bsky.social, Veronica Minaya, & Joshua Thomas, we use admin data from a large public univ system to examine earnings gaps for high- vs low-SES college grads 5 years out & the role of first jobs in explaining the gaps. 1/ www.nber.org/papers/w34366

one amazing feature here is simply loading the entire dataset would probably freeze your laptop! instead you can run this regression quickly and not worry about memory problems, thanks to the magic of duckdb and dbreg

Grant McDermott@gmcd.bsky.social · 11mo ago

To borrow another example, taken from the `dbreg` README: github.com/grantmcdermo... Here I am running a fixed-effects regression on 180 million(!) row parquet dataset... and it completes **< 2 seconds**... on my laptop 🤯 This is powered by @duckdb.org under the hood. #rstats #econsky

It has been the honor of my life to serve as Commissioner of BLS alongside the many dedicated civil servants tasked with measuring a vast and dynamic economy. It is vital and important work and I thank them for their service to this nation.

AEA Statement on Dismissal of BLS Comm. "The independence of the federal statistical agencies is essential to the proper functioning of a modern economy. Accurate, timely, and impartial statistics are the foundation upon which households, businesses, and policymakers make critical decisions."

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Excited to announce the call for papers for the inaugural MidSouth Education Policy Workshop, October 16-17, in Lexington, KY! Send us your abstracts on all things econ of ed & ed policy by 8/27. Grad students & early career folks especially welcome! Info & link to submit here: bit.ly/44TdiGf

Lexington, KY

ICYMI last week - take a peek at our new report to better understand the earnings prospects of the professional school programs Congress just (nearly) uniformly & dramatically changed liquidity provision for: pseocoalition.org/wp-content/u...

pseocoalition.org

CJ Libassi@clibassi.bsky.social · last yr.

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

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.

The journal Research in Higher Education is seeking manuscripts using data from the National Center for Education Statistics for a special issue. Please read the full call for papers here and circulate to your networks! #RIHE link.springer.com/collections/...

Call for Submissions using National Center for Education Statistics data

The journal Research in Higher Education plans to publish a collection of articles using data from the National Center for Education Statistics in the United ...

link.springer.com

does there exist any helpful document out there that is like "a checklist of things every experienced researcher checks their tables and figures for to see if something is off?" I'm thinking of items such as "do N's change across regression model specifications and if so why?"

Random Stata tip, mostly for future me. If you want to add /// to the end of many lines at once (this comes up for me when copying SQL queries from other code editors or code that uses a ; delimiter), you can find & replace, check the regular expression option do: find: "$" replace: " ///\0"

Wanted to highlight a new report we have just released at the Office of the Chief Economist at ED: "An Overview of Graduate Borrowing and Outcomes." Below are a few graphs that might entice you to read more. First: distributions of annual borrowing for top 25 credentials in terms of annual volume

A stacked density plot showing distribution of annual graduate program borrowing in 2019 across different programs. Professional programs like dentistry and medicine have highest borrowing ($80k-120k), while master's programs in education and business typically borrow much less ($20k-40k). Programs ordered by average borrowing amount.
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I’m excited to build this hub for bringing rigorous economic research to higher ed and workforce policy at SPA, together w @claremccann.bsky.social and Steph Cellini. Look out for opportunities to come study, work, and partner with us!

American University School of Public Affairs@au-spa.bsky.social · 2y ago

Professor @jdmatsudaira.bsky.social joined SPA in 2024 & launched the Postsecondary Equity & Economics Research Center (PEER), making SPA a hub for leading economics and education policy scholars to generate new evidence to promote more equitable outcomes in higher education. bit.ly/4fSPxjZ #SPA90

I was incredibly honored to be awarded the CSWEP Carolyn Shaw Bell Award. When I accepted the award, I talked about the importance of mentoring. The lessons I pass on are kind of obvious. But they are important, so I am going to share them yet again. (A🧵)

CSWEP@aeacswep.bsky.social · 2y ago

@aeacswep.bsky.social announces Sandra E. Black as the 2024 Carolyn Shaw Bell Award winner! Visit aeaweb.org/about-aea/co... for the full announcement. Congratulations to @econsandy.bsky.social