billschultzphd.bsky.social
@billschultzphd.bsky.social
Reposted by billschultzphd.bsky.social
New study finds more generous state safety net policies w/ fewer administrative barriers are linked to better birth outcomes, esp for marginalized groups. Very relevant finding in current policy environment!
doi.org/10.1016/j.so... @gabeschwartz.bsky.social @npwf.bsky.social @donmoyn.bsky.social
doi.org/10.1016/j.so... @gabeschwartz.bsky.social @npwf.bsky.social @donmoyn.bsky.social
November 5, 2025 at 8:57 PM
New study finds more generous state safety net policies w/ fewer administrative barriers are linked to better birth outcomes, esp for marginalized groups. Very relevant finding in current policy environment!
doi.org/10.1016/j.so... @gabeschwartz.bsky.social @npwf.bsky.social @donmoyn.bsky.social
doi.org/10.1016/j.so... @gabeschwartz.bsky.social @npwf.bsky.social @donmoyn.bsky.social
Seems like a great resource for graduate methods syllabi: www.cambridge.org/core/journal...
What to Observe When Assuming Selection on Observables | Political Analysis | Cambridge Core
What to Observe When Assuming Selection on Observables
www.cambridge.org
October 7, 2025 at 2:55 AM
Seems like a great resource for graduate methods syllabi: www.cambridge.org/core/journal...
Reposted by billschultzphd.bsky.social
Georgi Baklicharov asks: can treatment effect testing in trials with intercurrent events be nearly assumption-free? #EuroCIM2025
April 9, 2025 at 1:21 PM
Georgi Baklicharov asks: can treatment effect testing in trials with intercurrent events be nearly assumption-free? #EuroCIM2025
Reposted by billschultzphd.bsky.social
1/9
We are excited to share our new working paper:
arxiv.org/abs/2502.12323
If you use ML predictions (like remote-sensed data) as outcomes, the resulting regression coefficients can be biased by measurement error. With @megan-ayers.bsky.social @mdgordo.bsky.social @eliana-stone.bsky.social
We are excited to share our new working paper:
arxiv.org/abs/2502.12323
If you use ML predictions (like remote-sensed data) as outcomes, the resulting regression coefficients can be biased by measurement error. With @megan-ayers.bsky.social @mdgordo.bsky.social @eliana-stone.bsky.social
Adversarial Debiasing for Unbiased Parameter Recovery
Advances in machine learning and the increasing availability of high-dimensional data have led to the proliferation of social science research that uses the predictions of machine learning models as p...
arxiv.org
March 17, 2025 at 7:30 PM
1/9
We are excited to share our new working paper:
arxiv.org/abs/2502.12323
If you use ML predictions (like remote-sensed data) as outcomes, the resulting regression coefficients can be biased by measurement error. With @megan-ayers.bsky.social @mdgordo.bsky.social @eliana-stone.bsky.social
We are excited to share our new working paper:
arxiv.org/abs/2502.12323
If you use ML predictions (like remote-sensed data) as outcomes, the resulting regression coefficients can be biased by measurement error. With @megan-ayers.bsky.social @mdgordo.bsky.social @eliana-stone.bsky.social