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Essays on Nonparametric and High-Dimensional Econometrics
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Essays on Nonparametric and High-Dimensional Econometrics. |
| 개인저자 | Soerensen, Jesper Riis-Vestergaard. |
| 단체저자명 | University of California, Los Angeles. Economics 0246. |
| 발행사항 | [S.l.]: University of California, Los Angeles., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 227 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-10A(E). Dissertation Abstract International |
| ISBN | 9780438016071 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, Los Angeles, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: A.
Advisers: Denis N. Chetverikov |
| 요약 | This dissertation studies questions related to identification, estimation, and specification testing of nonparametric and high-dimensional econometric models. The thesis is composed by two chapters. |
| 요약 | In Chapter 1, I propose specification tests for two formally distinct but related classes of econometric models: (1) semiparametric conditional moment restriction models dependent on conditional expectation functions, and (2) a class of high-dim |
| 요약 | In Chapter 2, I show that it is possible to identify and estimate a generalized panel regression model (GPRM) without imposing any parametric structure on (1) the function of observable explanatory variables, (2) the systematic function through |
| 일반주제명 | Economics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
