MARC보기
LDR00000nmm u2200205 4500
001000000331939
00520241122131322
008181129s2018 ||| | | | eng d
020 ▼a 9780438016071
035 ▼a (MiAaPQ)AAI10826357
035 ▼a (MiAaPQ)ucla:16835
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 330
1001 ▼a Soerensen, Jesper Riis-Vestergaard.
24510 ▼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
5021 ▼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
71020 ▼a University of California, Los Angeles. ▼b Economics 0246.
7730 ▼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
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998871 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자