Three essays on econometrics of heterogeneous effects
Date
2021-12
Authors
Acerenza Fleitas, Santiago
Major Professor
Advisor
Bartalotti, Otavio
Kédagni , Désiré
Weninger, Quinn
Orazem, Peter F
Kim, Jae-Kwang
Committee Member
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Abstract
In this dissertation, econometric methods with heterogeneity are the focus. Unobserved heterogeneity affects both inference and identification of treatment effects of interest. This dissertation focuses on how to identify and do inference on parameters of interest when there is heterogeneity. This heterogeneity may affect the outcome and the variable of interest jointly, as well as it can affect the process by which a variable or an individual is observed.
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Academic or Administrative Unit
Economics
Type
article