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ESSAYS ON THE ECONOMETRICS OF PROGRAM EVALUATION by Shui-Ki Wan A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Ful llment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (ECONOMICS) August 2010 Copyright 2010 Shui-Ki Wan
Object Description
Title | Essays on the econometrics of program evaluation |
Author | Wan, Shui-Ki |
Author email | shuiwan@usc.edu; shuikiwan@gmail.com |
Degree | Doctor of Philosophy |
Document type | Dissertation |
Degree program | Economics |
School | College of Letters, Arts and Sciences |
Date defended/completed | 2010-04-06 |
Date submitted | 2010 |
Restricted until | Unrestricted |
Date published | 2010-05-25 |
Advisor (committee chair) | Hsiao, Cheng |
Advisor (committee member) |
Dekle, Robert Luo, Lan |
Abstract | Many empirical literature in economics, social sciences, and medical treatment studies the causal effects of programs, polices or drug effects. In the economic context, the major focus on program evaluation literature is to measure the impact of a particular treatment on a set of individuals, regions, or countries that exposed to such a treatment. It is of particular importance to policy makers, medical practitioners and others. In order to evaluate the effect of the treatment, Rubin (1974) proposed the interpretation of causal statements as comparisons of the so-called potential outcomes, which is de fined as a pair of outcomes associated to a particular individual given different levels of exposure to the treatment with only one of the outcomes observed by researchers. Models are developed for this pair of potential outcomes one for the treated state, another for the control state. In this thesis, a panel data methodology is proposed under the potential outcomes framework to measure the average treatment effect. This methodology is applied to measure the impact of two major Hong Kong polices on the Hong Kong s' economy. Due to the model uncertainty involved in forming the counterfactual, forecast combination methods are proposed as a way to reduce this uncertainty. Various existing methods together with some new proposed methods are evaluated in a small scale Monte Carlo studies and two applications. |
Keyword | program evaluation; forecast combination |
Geographic subject | administrative areas: Hong Kong |
Geographic subject (country) | China; USA |
Language | English |
Part of collection | University of Southern California dissertations and theses |
Publisher (of the original version) | University of Southern California |
Place of publication (of the original version) | Los Angeles, California |
Publisher (of the digital version) | University of Southern California. Libraries |
Provenance | Electronically uploaded by the author |
Type | texts |
Legacy record ID | usctheses-m3096 |
Contributing entity | University of Southern California |
Rights | Wan, Shui-Ki |
Repository name | Libraries, University of Southern California |
Repository address | Los Angeles, California |
Repository email | cisadmin@lib.usc.edu |
Filename | etd-Wan-3794 |
Archival file | uscthesesreloadpub_Volume44/etd-Wan-3794.pdf |
Description
Title | Page 1 |
Contributing entity | University of Southern California |
Repository email | cisadmin@lib.usc.edu |
Full text | ESSAYS ON THE ECONOMETRICS OF PROGRAM EVALUATION by Shui-Ki Wan A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Ful llment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (ECONOMICS) August 2010 Copyright 2010 Shui-Ki Wan |