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In many applications of the differences-in-differences (DID) method, the treatment increases more in the treatment group, but some units are also treated in the control group. In such fuzzy designs, a popular estimator of treatment effects is the DID of the outcome divided by the DID of the...
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We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of … endogenous assignment variable (like previous earnings). We provide new results on identification and estimation for these …
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Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison of spells before and after the policy change, if there is unobserved heterogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that...
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controls using Lasso and related methods. We develop estimation and inference methods for the average treatment effect in this … setting, proposing a novel "post double selection" method that provides attractive inferential and estimation properties. In … account for the impact of selection errors on estimation and inference. In order to cover typical applications in economics …
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