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Author: Zhang, Ye
Resulting in 4 citations.
1. Sanders, Seth G.
Smith, Jeffrey A.
Zhang, Ye
Teenage Childbearing and Maternal Schooling Outcomes: Evidence from Matching
Presented: New York, NY, Society of Labor Economists Annual Meeting, May 2008.
Also: http://client.norc.org/jole/SOLEweb/826.pdf
Cohort(s): NLSY79
Publisher: Department of Economics, University of Maryland
Keyword(s): Adolescent Fertility; Childbearing, Adolescent; Educational Attainment; Mothers, Education; Schooling; Variables, Independent - Covariate

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

This paper investigates to what extent the observed correlation between adolescent fertility and poor maternal educational attainment is causal. Semi-parametric kernel matching estimator is applied to estimate the effects of teenage childbearing on schooling outcomes. The matching method estimates the conditional moments without imposing any functional form restrictions and attends directly to the common support condition. Using data from the NLSY79 [1979-to-2002 waves], kernel matching estimates suggest that half of the cross-sectional educational gaps remains after controlling for individual and family covariates. The difference between matching estimates and regression-based estimates implies that part of the conditional difference in parametric models is due to the functional assumption. The robustness check following Altonji, Elder, and Taber (2005) reveals that a substantial amount of correlation is required within a parametric framework to make the negative effect of teen motherhood on educational attainment go away. Further evidence obtained by simulation-based nonparametric sensitivity analysis suggests that the matching estimates are quite robust with regard to a wide range of specifications of the simulated unobservables. The paper suggests that the "richness of covariates makes the sample ideal for our study and makes the assumption of selection-on-observables plausible.
Bibliography Citation
Sanders, Seth G., Jeffrey A. Smith and Ye Zhang. "Teenage Childbearing and Maternal Schooling Outcomes: Evidence from Matching." Presented: New York, NY, Society of Labor Economists Annual Meeting, May 2008.
2. Zhang, Ye
Asymmetric Information, Employer Learning, and the Job Mobility of Young Men
Working Paper, Department of Economics, University of Maryland - College Park, December 2006.
Also: http://economics.missouri.edu/seminars/files/2007/zhang_jan26_2007.pdf
Cohort(s): NLSY79
Publisher: Department of Economics, University of Maryland
Keyword(s): Learning, Asymmetric; Mobility, Job; Schooling; Wages

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

This paper develops an asymmetric employer learning model in which endogenous job mobility is both a direct result of intensified adverse selection and a signal used by outside employers to update their expectations about workers' productive ability. The previous literature on asymmetric employer learning builds on two-period mover-stayer models and finds little empirical evidence of the differential impacts of ability and education on wages across tenure levels. This paper extends the mover-stayer framework by allowing the employment history to be observed by recruiting firms in a three-period model. I derive new empirical implications regarding the relationship between wage rates, ability, schooling and overall measures of job mobility. Testing the model with data from the National Longitudinal Survey of Youth 1979 (NLSY-79), I find strong evidence supporting the three-period asymmetric employer learning model.
Bibliography Citation
Zhang, Ye. "Asymmetric Information, Employer Learning, and the Job Mobility of Young Men." Working Paper, Department of Economics, University of Maryland - College Park, December 2006.
3. Zhang, Ye
Employer Learning Under Asymmetric Information: The Role of Job Mobility
Working Paper, Department of Economics, Indiana University, Purdue University, Indianapolis (IUPUI), November 2007.
Also: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1058801
Cohort(s): NLSY79
Publisher: Department of Economics, Indiana University Purdue University Indianapolis (IUPUI)
Keyword(s): Employment, History; Learning, Asymmetric; Mobility, Job; Schooling; Wage Rates

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

While recent literature suggests that employers learn about the productivity of new workers over time, there is little consensus on how information about workers' productive ability is accumulated by current and outside employers in the labor market. This paper studies the role played by endogenous job mobility during the employer learning process and develops an asymmetric employer learning model in which a worker's employment history can be used by outside employers to assess his quality. Previous studies on asymmetric employer learning builds on two-period mover-stayer models and precludes the signaling effects of job mobility by construction. By extending the mover-stayer framework to allow job mobility pattern be observed by recruiting firms in a three-period setting, I derive empirical implications regarding the relationship between wage rates, ability, schooling and overall measures of job mobility that enable me to differentiate symmetric employer learning model, mover-stayer model with asymmetric information, and asymmetric employer learning model with potential employers learning through workers' employment histories. Testing the model with data from the National Longitudinal Survey of Youth 1979 (NLSY-79), I find strong evidence supporting the three-period asymmetric employer learning model.
Bibliography Citation
Zhang, Ye. "Employer Learning Under Asymmetric Information: The Role of Job Mobility." Working Paper, Department of Economics, Indiana University, Purdue University, Indianapolis (IUPUI), November 2007.
4. Zhang, Ye
Essays in Labor Economics
Ph.D. Dissertation, Department of Economics, University of Maryland - College Park, 2007. DAI-A 68/07, Jan 2008.
Also: https://drum.umd.edu/dspace/bitstream/1903/7232/1/umi-umd-4631.pdf
Cohort(s): NLSY79
Publisher: Department of Economics, University of Maryland
Keyword(s): Adolescent Fertility; Childbearing, Adolescent; Educational Attainment; Endogeneity; Fertility; Labor Economics; Mobility, Job; Modeling; Mothers, Education; Variables, Independent - Covariate; Wage Rates

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

My dissertation is composed of two essays in Labor Economics. The first chapter examines how employers learn about workers' unobserved productivity when learning is asymmetric between incumbent and outside firms. I develop an asymmetric employer learning model in which endogenous job mobility is both a direct result of intensified adverse selection and a signal used by outside employers to update their expectations about workers' productive ability. I derive, from the model, empirical implications regarding the relationship between wage rates, ability, schooling and overall measures of job separations that contrasts the public learning models and the two-period mover-stayer models. Testing the model with data from the National Longitudinal Survey of Youth 1979 (NLSY-79), I find strong evidence supporting the three-period asymmetric employer learning model.

The second chapter concerns economics of fertility and investigates to what extent the observed correlation between adolescent fertility and poor maternal educational attainment is causal. Semi-parametric kernel matching estimator is applied to estimate the effects of teenage childbearing on schooling outcomes. The matching method estimates the conditional moments without imposing any functional form restrictions and attends directly to the common support condition. Using data from the NLSY-79, kernel matching estimates suggest that half of the cross-sectional educational gaps remains after controlling for individual and family covariates. The difference between matching estimates and regression-based estimates implies that part of the conditional difference in parametric models is due to the functional assumption. The robustness check following Altonji, Elder, and Taber (2005) reveals that a substantial amount of correlation is required within a parametric framework to make the negative effect of teen motherhood on educational attainment go away. Further evidence obtained by simulation-based nonparametric sensitivity analysis suggests that the matching estimates are quite robust with regard to a wide range of specifications of the simulated unobservables.

Bibliography Citation
Zhang, Ye. Essays in Labor Economics. Ph.D. Dissertation, Department of Economics, University of Maryland - College Park, 2007. DAI-A 68/07, Jan 2008..