Hey! My name is Dor (he / him), and I am a PhD candidate in economics at Tel Aviv U.
My wife (Michal) and kids (Alma and Ivri) in the figure on the right.
My main research interests are labor economics, applied econometrics and inequality. Side hobbies are machine learning and causal inference.
You can contact me via dorleventer@mail.tau.ac.il
I am on the 2025-2026 job market! Here is the abstract of my JMP:
This paper revisits the identification of the gender gap in the effect of parenthood on earnings. I formalize the setting as a staggered adoption design and examine three identification frameworks: difference-in-differences (DID), triple differences (TD), and normalized event studies (NTD), the common empirical strategy in this literature. I show that NTD fails to identify the target causal estimand when parallel trends are violated. Drawing on predictions from human-capital models of fertility and earnings, I argue that parallel trends are likely violated, rendering DID invalid. I further show that TD is likely invalid due to life-cycle variation in counterfactual gender inequality. These insights motivate two alternative frameworks. First, I show that NTD can identify a new causal estimand, the change in the gender earnings ratio due to childbirth, without additional assumptions. Second, I show that adding a null-effect assumption for fathers yields a bias-corrected identification formula for NTD. Using Israeli administrative data, I document empirical patterns for both alternatives and discuss their relationship to the baseline NTD estimand. I finish with discussing aggregation across multiple treatment groups.
I also have a website (and package) for the paper — childpen. Please let me know if you find an issue