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020 ▼a 9780438324718
035 ▼a (MiAaPQ)AAI10816375
035 ▼a (MiAaPQ)berkeley:17854
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 330
1001 ▼a Su, Jiun-Hua.
24510 ▼a Essays on Structural Microeconometrics.
260 ▼a [S.l.] : ▼b University of California, Berkeley., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 134 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: A.
500 ▼a Adviser: James Powell.
5021 ▼a Thesis (Ph.D.)--University of California, Berkeley, 2018.
520 ▼a This dissertation consists of three chapters studying microeconometric methods. The first two chapters focus on models with unobserved heterogeneity, and topics include testing shape restrictions imposed by economic theory and estimating counter
520 ▼a Causal inference on the individual treatment effect is fundamental in econometric analysis. In Chapter 1, I develop the concept of structural monotonicity, that is, monotonicity of a structural function in a treatment given any observable covari
520 ▼a The presence of unobserved heterogeneity is also essential for policy effects especially in duration analysis. In Chapter 2, I propose a counterfactual Kaplan-Meier estimator that incorporates time-invariant exogenous covariates and nonseparable
520 ▼a In addition to counterfactual analysis in policy research, a better prediction may improve policy-making. In Chapter 3, I show that in a model of binary decision-making based on the prediction of a binary outcome variable, the semiparametric max
590 ▼a School code: 0028.
650 4 ▼a Economics.
690 ▼a 0501
71020 ▼a University of California, Berkeley. ▼b Economics.
7730 ▼t Dissertation Abstracts International ▼g 80-01A(E).
773 ▼t Dissertation Abstract International
790 ▼a 0028
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998238 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자