Three essays on econometrics of heterogeneous effects
dc.contributor.advisor | Bartalotti, Otavio | |
dc.contributor.advisor | Kédagni , Désiré | |
dc.contributor.advisor | Weninger, Quinn | |
dc.contributor.advisor | Orazem, Peter F | |
dc.contributor.advisor | Kim, Jae-Kwang | |
dc.contributor.author | Acerenza Fleitas, Santiago | |
dc.contributor.department | Economics | en_US |
dc.date.accessioned | 2022-11-09T05:27:32Z | |
dc.date.available | 2022-11-09T05:27:32Z | |
dc.date.issued | 2021-12 | |
dc.date.updated | 2022-11-09T05:27:32Z | |
dc.description.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. | |
dc.format.mimetype | ||
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/7rKo0R4r | |
dc.language.iso | en | |
dc.language.rfc3066 | en | |
dc.subject.disciplines | Economics | en_US |
dc.subject.disciplines | Statistics | en_US |
dc.subject.keywords | econometrics | en_US |
dc.subject.keywords | heterogeneity | en_US |
dc.subject.keywords | identification | en_US |
dc.subject.keywords | treatment effects | en_US |
dc.title | Three essays on econometrics of heterogeneous effects | |
dc.type | article | en_US |
dc.type.genre | dissertation | en_US |
dspace.entity.type | Publication | |
thesis.degree.discipline | Economics | en_US |
thesis.degree.discipline | Statistics | en_US |
thesis.degree.grantor | Iowa State University | en_US |
thesis.degree.level | dissertation | $ |
thesis.degree.name | Doctor of Philosophy | en_US |
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