Tymon Słoczyński is an assistant professor in the Department of Economics and International Business School (IBS) at Brandeis University. His research interests are microeconometrics and applied microeconomics, with particular emphasis on program evaluation. He is also interested in economic history.

He joined IZA as a Research Affiliate in November 2012 and became a Research Fellow in January 2015.



IZA Discussion Paper No. 9491

It is standard practice in applied work to rely on linear least squares regression to estimate the effect of a binary variable ("treatment") on some outcome of interest. In this paper I study the interpretation of the regression estimand when treatment effects are in fact heterogeneous. I show that the...

IZA Discussion Paper No. 9036

In this paper I develop a new version of the Oaxaca–Blinder decomposition whose unexplained component recovers a parameter which I refer to as the average wage gap. Under a particular conditional independence assumption, this estimand is equivalent to the average treatment effect (ATE). I also provide treatment-effects reinterpretations of the...

IZA Discussion Paper No. 8084
published in: Econometric Theory, 2018, 34(1), 112–133

In this paper we study doubly robust estimators of various average treatment effects under unconfoundedness. We unify and extend much of the recent literature by providing a very general identification result which covers binary and multi-valued treatments; unnormalized and normalized weighting; and both inverse-probability weighted (IPW) and doubly robust estimators....

IZA Discussion Paper No. 7874

In this paper we evaluate the premise from the recent literature on Monte Carlo studies that an empirically motivated simulation exercise is informative about the actual ranking of various estimators when applied to a particular problem. We consider two alternative designs and provide an empirical test for both of them....

IZA Discussion Paper No. 7315

In this paper I develop a consistent estimator of the population average treatment effect (PATE) which is based on a nonstandard version of the Oaxaca–Blinder decomposition. As a result, I extend the recent literature which has utilized the treatment effects framework to reinterpret this technique, and propose an alternative solution...