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Source: Department of Economics, University of Texas at Austin

Resulting in 3 citations.

1.	Oettinger, Gerald S.
1.	Does the Sibling Correlation in Economic Status Vary Across Families and Sibling Pairs? Working Paper, Department of Economics, University of Texas at Austin, April 25, 1999. Also: http://www.nber.org/~confer/99/lssi99/oetti.pdf Cohort(s): NLSY79 Publisher: Department of Economics, University of Texas at Austin Keyword(s): Armed Forces Qualifications Test (AFQT); Armed Services Vocational Aptitude Battery (ASVAB); Cognitive Ability; Educational Attainment; Family Background and Culture; Family Environment; Pairs (also see Siblings); Siblings; Socioeconomic Status (SES) Permission to reprint the abstract has not been received from the publisher. This paper uses data from the National Longitudinal Survey of Youth to estimate sibling correlations in educational attainment and cognitive ability and to investigate whether these correlations vary systematically with family or sibling pair characteristics. Similar to previous authors, I estimate raw sibling correlations of .46-.57 for educational attainment and .62-.67 for cognitive ability and I find that observable differences in family background between families can account for less than half of these correlations. An analysis of the residual sibling correlations in status shows that the degree of sibling resemblance varies systematically with characteristics of the family and the sibling pair. In particular, sibling correlations in status appears to be U-shaped in father's education (a proxy for family permanent income), implying that siblings from middle income families have less similar outcomes than siblings from both rich and poor families. There is also some evidence that the sibling correlation in status is smaller for siblings far apart in age, which suggests that time-varying components of family environment have a non-trivial impact on eventual socioeconomic status.
	Bibliography Citation Oettinger, Gerald S. "Does the Sibling Correlation in Economic Status Vary Across Families and Sibling Pairs?" Working Paper, Department of Economics, University of Texas at Austin, April 25, 1999.

2.	Petre, Melinda C. A.
2.	Essays on the Impact of Cognitive and Noncognitive Skills on Labor Market Outcomes Ph.D. Dissertation, Department of Economics, University of Texas, 2014 Cohort(s): NLSY79 Publisher: Department of Economics, University of Texas at Austin Keyword(s): Armed Forces Qualifications Test (AFQT); Armed Services Vocational Aptitude Battery (ASVAB); CESD (Depression Scale); Employment History; Labor Market Outcomes; Motivation; Noncognitive Skills; Pearlin Mastery Scale; Rosenberg Self-Esteem Scale (RSES) (see Self-Esteem); Rotter Scale (see Locus of Control); Wages Permission to reprint the abstract has not been received from the publisher. Analyzing the distributions of wages for whites, blacks and Hispanics reveals the existence of a wage gap throughout the distribution. There are also clear cognitive and noncognitive skill differences across groups. Do differences in the distributions of these skills explain differences in the distributions of wages? Do predicted distributions of wages resulting from rewarding blacks and Hispanics as if they were white help explain the observed wage gap? Using data from the NLSY79, I look at the impacts of noncognitive skills on wages for blacks, Hispanics and whites. I estimate the entire distribution of wages conditional on skills for blacks and Hispanics to see if there is a difference in wages individuals with the same level of cognitive and noncognitive skills. I find that all cognitive and noncognitive measures examined are important in explaining the wage penalty paid by blacks and Hispanics and that, for blacks, predicting their wages conditional on skills approximates the distribution of actual wages.
	Bibliography Citation Petre, Melinda C. A. Essays on the Impact of Cognitive and Noncognitive Skills on Labor Market Outcomes. Ph.D. Dissertation, Department of Economics, University of Texas, 2014.

3.	Yan, Jin
3.	Essays on Student Debt, Unemployment, and Labor Market Outcomes Ph.D. Dissertation, Department of Economics, University of Texas at Austin, 2022. Also: https://repositories.lib.utexas.edu/handle/2152/115352 Cohort(s): NLSY79 Publisher: Department of Economics, University of Texas at Austin Keyword(s): Armed Forces Qualifications Test (AFQT); Unemployment; Wage Penalty/Career Penalty Permission to reprint the abstract has not been received from the publisher. This dissertation focuses on studying the effect of certain life events including accumulating student debt and incidences of unemployment on workers' labor market outcomes. The chapters use economic models to guide empirical analysis and find that both student debt and unemployment experience can negatively impact workers' future earnings. The models in Chapter 2 and 3 both feature imperfect information about workers' underlying ability and learning through noisy productivity signals over time. Both chapters suggest that information frictions in the labor market can be costly. Chapter 2 develops and estimates a model of career choices and experimentation featuring imperfect information, risk aversion, and incomplete markets. The model emphasizes the importance of career experimentation in driving earnings growth and shows that information frictions cause risk-averse graduates with student debt to choose a safe career path with a flatter experience-earnings profile which is consistent with the empirical results. Chapter 3 finds that the longer a worker is unemployed, the less he earns initially coming out of an unemployment spell, but the wage penalty of unemployment duration decreases over time. The findings are consistent with the prediction of the employer learning with statistical discrimination model developed in Altonji and Pierret (2001) which suggests that information frictions can motivate profit-maximizing employers to use unemployment duration as a negative signal to predict workers' productivity at the time of hire, put extra negative weight on unemployment duration when making initial wage offers, and alleviate it only after learning about workers' underlying ability.
	Bibliography Citation Yan, Jin. Essays on Student Debt, Unemployment, and Labor Market Outcomes. Ph.D. Dissertation, Department of Economics, University of Texas at Austin, 2022..

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