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Author: White, Halbert
Resulting in 2 citations.
1. Olson, Lawrence Smedley
White, Halbert
Shefrin, H.M.
Optimal Investment in Schooling When Incomes are Risky
Journal of Political Economy 87,3 (June 1979): 522-539.
Also: http://www.jstor.org/stable/1832021
Cohort(s): Young Men
Publisher: University of Chicago Press
Keyword(s): College Education; Earnings; Educational Returns; Schooling; Time Preference

This study demonstrates a tractable method for analyzing schooling investment with risky incomes. Constant relative risk aversion is assumed, and borrowing in a rudimentary capital market is allowed. A linear, variance- components model on log (real income) is estimated. Only unexplained variation is treated as a source of risk. Illustrative empirical results indicate that students should take either four years of college or none at all, depending on time preference, loan availability, and degree of risk aversion. Estimated risk-adjusted rates of return to college exceed 10 percent for some parameter values. Risk adjustments for college rates are small but positive.
Bibliography Citation
Olson, Lawrence Smedley, Halbert White and H.M. Shefrin. "Optimal Investment in Schooling When Incomes are Risky." Journal of Political Economy 87,3 (June 1979): 522-539.
2. Song, Suyong
Schennach, Susanne M.
White, Halbert
Estimating Nonseparable Models With Mismeasured Endogenous Variables
Quantitative Economics 6,3 (November 2015): DOI: 749-794.
Also: https://qeconomics.org/ojs/index.php/qe/article/view/299
Cohort(s): Children of the NLSY79, NLSY79
Publisher: Econometric Society
Keyword(s): Children, Academic Development; Family Income; Monte Carlo; Peabody Individual Achievement Test (PIAT- Math); Peabody Individual Achievement Test (PIAT- Reading); Statistical Analysis

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

We study the identification and estimation of covariate‐conditioned average marginal effects of endogenous regressors in nonseparable structural systems when the regressors are mismeasured. We control for the endogeneity by making use of covariates as control variables; this ensures conditional independence between the endogenous causes of interest and other unobservable drivers of the dependent variable. Moreover, we recover distributions of the underlying true causes from their error‐laden measurements to deliver consistent estimators. We obtain uniform convergence rates and asymptotic normality for estimators of covariate‐conditioned average marginal effects, faster convergence rates for estimators of their weighted averages over instruments, and root‐n consistency and asymptotic normality for estimators of their weighted averages over control variables and regressors. We investigate their finite‐sample behavior using Monte Carlo simulation and apply new methods to study the impact of family income on child achievement measured by math and reading scores, using a matched mother-child subsample of the National Longitudinal Survey of Youth. Our findings suggest that these effects are considerably larger than previously recognized, and depend on parental abilities and family income. This underscores the importance of measurement errors, endogeneity of family income, nonlinearity of income effects, and interactions between causes of child achievement.
Bibliography Citation
Song, Suyong, Susanne M. Schennach and Halbert White. "Estimating Nonseparable Models With Mismeasured Endogenous Variables." Quantitative Economics 6,3 (November 2015): DOI: 749-794.