My main research interests are theoretical and applied econometrics and applied industrial organization. My thesis studies identification in discrete response models motivated by demand and in particular identification of cross sectional and panel data models under weak distributional assumptions. My job market paper examines semiparametric identification in linear index binary and ordered response panel data models with fixed effects. I show that even when point identification fails, the derivation of informative bounds on the parameters of interest can still be achieved by finding features of the distribution that do not depend on the unobserved heterogeneity.
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