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Do you have to win it to fix it? : a longitudinal study of lottery winners and their health care demand

Cheng, Terence Chai; Costa-Font, Joan; Powdthavee, Nattavudh - 2015

more likely to have private health insurance. Larger winners are also more likely to drop coverage earlier, possibly after …We exploit lottery wins to investigate the effects of exogenous changes to individuals' income on health care demand in … the United Kingdom. This strategy allows us to estimate lottery income elasticities for a range of health care services …

Persistent link: https://www.econbiz.de/10010498373

Average wage gaps and Oaxaca-Blinder decompositions

Słoczyński, Tymon - 2015

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...

Persistent link: https://www.econbiz.de/10010528883

Population average gender effects

Słoczyński, Tymon - 2013

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...

Persistent link: https://www.econbiz.de/10009727566

Mostly harmless simulations? : on the internal validity of empirical Monte Carlo studies

Advani, Arun; Słoczyński, Tymon - 2013

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...

Persistent link: https://www.econbiz.de/10010229930

A general double robustness result for estimating average treatment effects

Słoczyński, Tymon; Wooldridge, Jeffrey M. - 2014

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;...

Persistent link: https://www.econbiz.de/10010339580

New evidence on linear regression and treatment effect heterogeneity

Słoczyński, Tymon - 2015

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...

Persistent link: https://www.econbiz.de/10011387124

When should we (not) interpret linear IV estimands as LATE?

Słoczyński, Tymon - 2021

In this paper I revisit the interpretation of the linear instrumental variables (IV) estimand as a weighted average of conditional local average treatment effects (LATEs). I focus on a practically relevant situation in which additional covariates are required for identification while the...

Persistent link: https://www.econbiz.de/10012517854

Abadie's kappa and weighting estimators of the local average treatment effect

Słoczyński, Tymon; Uysal, Selver Derya; Wooldridge, … - 2022

In this paper we study the finite sample and asymptotic properties of various weighting estimators of the local average treatment effect (LATE), several of which are based on Abadie (2003)'s kappa theorem. Our framework presumes a binary endogenous explanatory variable ("treatment") and a binary...

Persistent link: https://www.econbiz.de/10013187165

Interpreting OLS estimands when treatment effects are heterogeneous: smaller groups get larger weights

Słoczyński, Tymon - 2020

Applied work often studies the effect of a binary variable ("treatment") using linear models with additive effects. I study the interpretation of the OLS estimands in such models when treatment effects are heterogeneous. I show that the treatment coefficient is a convex combination of two...

Persistent link: https://www.econbiz.de/10012227296

Mostly harmless simulations? : on the internal validity of empirical Monte Carlo studies

Advani, Arun; Kitagawa, Toru; Słoczyński, Tymon - 2018

Currently there is little practical advice on which treatment effect estimator to use when trying to adjust for observable differences. A recent suggestion is to compare the performance of estimators in simulations that somehow mimic the empirical context. Two ways to run such 'empirical Monte...

Persistent link: https://www.econbiz.de/10011916665