| LDR | | 02066nam u200397 4500 |
| 001 | | 000000420160 |
| 005 | | 20190215164244 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438016071 |
| 035 | |
▼a (MiAaPQ)AAI10826357 |
| 035 | |
▼a (MiAaPQ)ucla:16835 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 330 |
| 100 | 1 |
▼a Soerensen, Jesper Riis-Vestergaard. |
| 245 | 10 |
▼a Essays on Nonparametric and High-Dimensional Econometrics. |
| 260 | |
▼a [S.l.]:
▼b University of California, Los Angeles.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 227 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: A. |
| 500 | |
▼a Advisers: Denis N. Chetverikov |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, Los Angeles, 2018. |
| 520 | |
▼a 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. |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 590 | |
▼a School code: 0031. |
| 650 | 4 |
▼a Economics. |
| 690 | |
▼a 0501 |
| 710 | 20 |
▼a University of California, Los Angeles.
▼b Economics 0246. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10A(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0031 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998871
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |