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Family Background and Optimal Schooling Decisions

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  • Lazear, Edward P
Abstract
In this paper, another aspect of optimizing behavior is considered. Specifically, it asks whether variations in levels of attained schooling across groups can be explained by a model that assumes that capital markets are perfect and that individuals maximize wealth. The logic of the analysis proceeds as follows: First, a model is constructed that allows estimation of costs and returns to education for each individual, based on the assumption that all individuals face the same borrowing rates. Given costs and returns, one can obtain an optimal wealth-maximizing level of education for each individual. Differences between actually acquired and wealth-maximizing levels of education can then be calculated, and one can determine whether or not the residuals are systematically related to background variables. If, for example, low-income individuals have a consistently larger estimated wealth-maximizing level of education than actual level, one could conclude either that returns to schooling differed between groups or that capital market differences exist. The model allows these two explanations to be distinguished. Since differential returns are caused by wage differences across groups, the wealth-maximizing level can take these labor market variations into account. Any residual variation will be due to factors other than differential wage rates, presumably capital cost differences .
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Suggested Citation

  • Lazear, Edward P, 1980. "Family Background and Optimal Schooling Decisions," The Review of Economics and Statistics, MIT Press, vol. 62(1), pages 42-51, February.
    • Handle: RePEc:tpr:restat:v:62:y:1980:i:1:p:42-51
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    1. Lazear, Edward P, 1976. "Age, Experience, and Wage Growth," American Economic Review, American Economic Association, vol. 66(4), pages 548-558, September.
    2. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    3. Bowles, Samuel, 1972. "Schooling and Inequality from Generation to Generation," Journal of Political Economy, University of Chicago Press, vol. 80(3), pages 219-251, Part II, .
    4. Griliches, Zvi, 1976. "Wages of Very Young Men," Journal of Political Economy, University of Chicago Press, vol. 84(4), pages 69-85, August.
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    1. John Fender & Ping Wang, 2000. "Educational Policy and Skill Heterogeneity with Credit Market Imperfections," Vanderbilt University Department of Economics Working Papers 0021, Vanderbilt University Department of Economics.
    2. Michael J. Boskin & Eytan Sheshinski, 1976. "Optimal Income Redistribution When Individual Welfare Depends Upon Relative Income," NBER Working Papers 0144, National Bureau of Economic Research, Inc.
    3. Asli Demirgüç-Kunt & Ross Levine, 2009. "Finance and Inequality: Theory and Evidence," Annual Review of Financial Economics, Annual Reviews, vol. 1(1), pages 287-318, November.
    4. Duryea, Suzanne, 1998. "Children's Advancement Through School in Brazil: The Role of Transitory Shocks to Household Income," IDB Publications (Working Papers) 1139, Inter-American Development Bank.
    5. Henrik Egbert & Teodor Sedlarski & Aleksandar B. Todorov, 2022. "Foundations of Contemporary Economics: Edward P. Lazear and Personnel Economics," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 671-691.
    6. John Fender & Ping Wang, 2003. "Educational Policy in a Credit Constrained Economy with Skill Heterogeneity," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(3), pages 939-964, August.
    7. Ben Mimoun Mohamed, 2005. "Redistribution Through Education and Other Mechanisms Under Capital‐Market Imperfections and Uncertainty: A Welfare Effect Analysis," LABOUR, CEIS, vol. 19(2), pages 191-236, June.
    8. Sedlacek, Guilherme Luís & Costa, Daniela Ribeiro da & Carvalho, Alexandre & Gustafsson-Wright, Emily & Neri, Marcelo Côrtes, 2000. "Microeconomic instability and children's human capital accumulation: the effects of idiosyncratic shocks to father's income on child labor, school drop-outs and repetition rates in Brazil," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 394, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    9. Yang, Juan & SICULAR, Terry & LAI, Desheng, 2014. "The changing determinants of high school attainment in rural China," China Economic Review, Elsevier, vol. 30(C), pages 551-566.
    10. Charles M. Beach & Ross E. Finnie, 1988. "Family Background in an Extended Earnings-Generation Model: Further Evidence," Eastern Economic Journal, Eastern Economic Association, vol. 14(1), pages 39-49, Jan-Mar.
    11. Suzanne Duryea, 1998. "El avance de los niños a lo largo del sistema educativo en Brasil: el papel de las sacudidas transitorias del ingreso familiar," Research Department Publications 4125, Inter-American Development Bank, Research Department.
    12. Been-Lon Chen & Yeong-Yuh Chiang & Ping Wang, 2000. "Credit Market Imperfections, Financial Activity and Economic Growth," Vanderbilt University Department of Economics Working Papers 0020, Vanderbilt University Department of Economics.
    13. Belzil, Christian & Hansen, Jörgen, 1999. "Subjective Discount Rates, Intergenerational Transfers and the Return to Schooling," IZA Discussion Papers 60, Institute of Labor Economics (IZA).
    14. El-Osta, Hisham S., 2011. "The Impact of Human Capital on Farm Operator Household Income," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(1), pages 1-21, April.
    15. Christian Belzil & Jörgen Hansen, 2001. "Estimating the Intergenerational Education Correlation from a Dynamic Programming Model," CIRANO Working Papers 2001s-20, CIRANO.

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