One can read in terms of Hirschman’s Exit/Voice/Loyalty framework: the pull of sentimentality toward MIT is weak when there is abundant work to be done on global poverty and the broader home
environment is so bleak.
🧵 1/7
One can read in terms of Hirschman’s Exit/Voice/Loyalty framework: the pull of sentimentality toward MIT is weak when there is abundant work to be done on global poverty and the broader home
environment is so bleak.
@voxdev.bsky.social has tons of useful resources for university economics courses - I have included some examples in this thread. 1/n
@voxdev.bsky.social has tons of useful resources for university economics courses - I have included some examples in this thread. 1/n
Apply by: 10 Oct
www.ucl.ac.uk/work-at-ucl/...
Apply by: 10 Oct
www.ucl.ac.uk/work-at-ucl/...
www.tandfonline.com/doi/full/10....
www.tandfonline.com/doi/full/10....
www.nytimes.com/2025/08/06/m...
www.nytimes.com/2025/08/06/m...
A General Design-Based Framework and Estimator for Randomized Experiments (Harshaw, S\"avje, Wang) We describe a design-based framework for drawing causal inference in general randomized experiments. Causal effects are defined as linear functionals evaluated at unit-level potential outcom
NYU "Data Science Frontiers: Society and Politics" conference. Held at NYU’s New York campus Oct 15-17. Submit a paper or extended abstract. Full details here: nyuad.my.salesforce-sites.com/NYEvents/ape...
Travel subsidies for presenters. Please forward!
NYU "Data Science Frontiers: Society and Politics" conference. Held at NYU’s New York campus Oct 15-17. Submit a paper or extended abstract. Full details here: nyuad.my.salesforce-sites.com/NYEvents/ape...
Travel subsidies for presenters. Please forward!
polmeth.emory.edu/index.html
polmeth.emory.edu/index.html
NYU "Data Science Frontiers: Society and Politics" conference. Held at NYU’s New York campus Oct 15-17. Submit a paper or extended abstract. Full details here: nyuad.my.salesforce-sites.com/NYEvents/ape...
Travel subsidies for presenters. Please forward!
NYU "Data Science Frontiers: Society and Politics" conference. Held at NYU’s New York campus Oct 15-17. Submit a paper or extended abstract. Full details here: nyuad.my.salesforce-sites.com/NYEvents/ape...
Travel subsidies for presenters. Please forward!
We (pdri-devlab) are hiring a research manager! Come join our team engaged in policy-relevant collaborative research (mostly migration, climate, enviormnet, big data for dev) in the great city of brotherly love. Pls share widely with your network.
wd1.myworkdaysite.com/en-US/recrui...
We (pdri-devlab) are hiring a research manager! Come join our team engaged in policy-relevant collaborative research (mostly migration, climate, enviormnet, big data for dev) in the great city of brotherly love. Pls share widely with your network.
wd1.myworkdaysite.com/en-US/recrui...
In this post, I explain different approaches for solving linear regression in R: directly, using QR, singular value and Cholesky decompositions, and do some benchmarking for comparison with in-built approaches.
thomvolker.github.io/blog/2506_re...
Does Residuals-on-Residuals Regression Produce Representative Estimates of Causal Effects? (Lal, Chou) Double Machine Learning is commonly used to estimate causal effects in large observational datasets. The "residuals-on-residuals" regression estimator (RORR) is especially popular for it
The Real Story of the “China Shock” by @heckmanequation and @HanmingF
The Real Story of the “China Shock” by @heckmanequation and @HanmingF
Design-based Estimation Theory for Complex Experiments (Chang) This paper considers the estimation of treatment effects in randomized experiments with complex experimental designs, including cases with interference between units. We develop a design-based estimation theory for arbitrary e
See if your matches have changed, and be sure to share this with your friends!
buff.ly/h82O2uT
See if your matches have changed, and be sure to share this with your friends!
buff.ly/h82O2uT
🧠 Ideal for PhD students and researchers planning fieldwork
📅 2 weeks | 35 hrs | Learn from anywhere
🔗 Register now: essexsummerschool.com/application/