Dor Leventer (@DorLev3) header
Dor Leventer (@DorLev3) profile picture

Hey! My name is Dor (he / him). I'm an economics PHD candidate at Tel-Aviv U.

Joined December 2017
JMP thread 👋 A growing body of research estimates child penalties. I formalize the underlying identification framework, discuss new problems, and present solutions. #econjobmar #econtwitter
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Left out several discussions, for example - Triple differences and counterfactual gender inequality - Validation tests when control groups change post treatment - Aggregation across multiple treatment groups
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Takeaway: My paper suggests that previous child penalties estimates can be severely biased due to identification issues, and that these issues are easily remedied. Full paper: drive.google.com/file/d/1U7_… R package: dorleventer.github.io/childp…
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Hey 👋 #econtwitter new version of the RD-DID paper - arxiv.org/abs/2408.05847 Some of whats new: - Iden. and est. of composition effects - Different SE under cross section / panel w. constant or time-varying running variables - A package (my first!) Cheers!
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📢@DanielNevo and I have a new WP out📢 In the paper, we present a general framework for identification in RD designs when continuity is violated using multiple time period data, which we term RD-DID A thread 1/n arxiv.org/abs/2408.05847 #EconTwitter #Econometrics
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For an application, we revisit Grembi et al. (2016) We discuss an equivalence testing approach to test RD-DID assumptions (and reject constant discon.) And show that omitting treatment switchers causes a drop in running variable density, resembling a ''donut hole'' RD 8/n
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Thats a wrap 👏, thanks for everyone who helped with this along the way. Hopefully this paper will provide guidelines and tools for researchers analyzing an RD design with violations of continuity arxiv.org/abs/2408.05847
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