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Author: Zhao, Zhong
Resulting in 2 citations.
1. Zhao, Zhong
Evaluation of the Return of the Federal Work-Study
Working Paper No. E2002006, China Center for Economic Research (CCER), Peking University, September 2002.
Also: http://www.cenet.org.cn/cn/CEAC/%E7%AC%AC%E4%BA%8C%E5%B1%8A%E5%85%A5%E9%80%89%E8%AE%BA%E6%96%87/%E5%8A%B3%E5%8A%A8%E7%BB%8F%E6%B5%8E%E5%AD%A6%E4%B8%8E%E4%BA%BA%E5%8A%9B%E8%B5%84%E6%BA%90/%E5%8B%A4%E5%B7%A5%E4%BF%AD%E5%AD%A6%E5%AF%B9%E6%AF%95%E4%B8%9A%E7%94%9F%E6%94%B6%E5%85%A5%E7%9A%84%E5%BD%B1%E5%93%8D.pdf
Cohort(s): NLSY79
Publisher: China Center for Economic Research
Keyword(s): College Graduates; Earnings; Heterogeneity; Modeling

Permission to reprint the abstract has not been received from the publisher.

In this paper, I use the National Longitudinal Survey of Youth 1979 Cohort (NLSY79) data set to study the return of Federal Work-Study program on the post-college earnings. The well-known selection-bias problem and the heterogeneous responses to the program among students are addressed under the Bjorklund and Moffitt (1987) framework. But we estimate the model both parametrically and nonparametrically. The parametric approach is switch regression under joint normal assumption and the nonparametric approach is local nonlinear least square estimator of Gozalo and Linton (forthcoming). In our model we can estimate different types of treatment effects, namely average treatment effect, treatment effect on the treated and marginal treatment effect. Each of them is conceptually different and has different implication from the policy point of view.
Bibliography Citation
Zhao, Zhong. "Evaluation of the Return of the Federal Work-Study." Working Paper No. E2002006, China Center for Economic Research (CCER), Peking University, September 2002.
2. Zhao, Zhong
Two Essays in Social Program Evaluation
Ph.D. Dissertation, The Johns Hopkins University, 2002. DAI-A 62/10, p. 3511, Apr 2002
Cohort(s): NLSY79
Publisher: UMI - University Microfilms, Bell and Howell Information and Learning
Keyword(s): College Graduates; Educational Returns; Employment, In-School; Employment, Part-Time; Treatment Response: Monotone, Semimonotone, or Concave-monotone; Variables, Independent - Covariate

This dissertation consists of two essays. The first essay studies using matching estimators to estimate models of treatment effects. The second essay is an empirical study of the impact of the Federal Work-Study program (FWS) on post college earnings. In the first essay, I compare propensity score matching methods to covariate matching estimators. I first clarify the misperception in the literature that propensity score matching estimators are less data hungry (require fewer observations) than covariate matching estimators. Next I propose a new matching metric incorporating the treatment response information. Then I examine the sensitivity of the matching estimate to the propensity score specification. Finally I use the National Supported Work Demonstration data set to demonstrate that, like any non-experimental estimator, the behavior of matching estimators crucially depends on the data structure at hand. In the second essay, I use the National Longitudinal Survey of Youth 1979 Cohort data set to study the effect of the FWS on post-college earnings. I estimate different types of treatment effects of the FWS, namely, the average treatment effect (ATE), the treatment effect on the treated (TT), and the marginal treatment effect (MTE). These effects are conceptually different and have different policy implications. I find that the FWS has a zero or insignificant negative impact on post-college earnings for the whole population. But for the Black population, the FWS has a positive effect on its participants. My conclusion is that the FWS coverage rate is too high, and that it would be better to divert some of the FWS resources to other financial aid programs.
Bibliography Citation
Zhao, Zhong. Two Essays in Social Program Evaluation. Ph.D. Dissertation, The Johns Hopkins University, 2002. DAI-A 62/10, p. 3511, Apr 2002.