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Does the structure of production affect demand for schooling in Peru?

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  • Gill, Indermit
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    Abstract

    The author uses the regional structure of the economy, proxied by the shares of services and industry in regional gross domestic product (GDP), as an indicator of the demand for educated workers. By examining whether the level of schooling as a function of shares of services and industry differs for men and women, a gender biascan be detected in the demand for schooling. The author estimates schooling demand functions for males and females using data for Peru in the 1980s. His primary findings are : 1) as services and industry increase their shares of GDP, relative to the share of agriculture, the demand for schooling of both males and females increases, 2) as the share of services in GDP increases compared to agriculture, the demand for schooling by women increases more than the demand for schooling by men, 3) and increase in the share of industry relative to agriculture is associated with an increase in the demand for schooling of men rather than of women, 4) a decrease in the supply price of schooling increases the level of schooling attained by both sexes, but the gain is larger for women, and 5) increases in wealth are associated with increases in the demand of both sexes for schooling.

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    Bibliographic Info

    Paper provided by The World Bank in its series Policy Research Working Paper Series with number 468.

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    Date of creation: 31 Aug 1990
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    Handle: RePEc:wbk:wbrwps:468

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    Related research

    Keywords: Health Monitoring&Evaluation; Teaching and Learning; Economic Theory&Research; Population&Development; Environmental Economics&Policies;

    References

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    1. Mincer, Jacob & Higuchi, Yoshio, 1988. "Wage structures and labor turnover in the United States and Japan," Journal of the Japanese and International Economies, Elsevier, vol. 2(2), pages 97-133, June.
    2. Becker, Gary S & Tomes, Nigel, 1976. "Child Endowments and the Quantity and Quality of Children," Journal of Political Economy, University of Chicago Press, vol. 84(4), pages S143-62, August.
    3. Moock, Peter R. & Leslie, Joanne, 1986. "Childhood malnutrition and schooling in the Terai region of Nepal," Journal of Development Economics, Elsevier, vol. 20(1), pages 33-52.
    4. Freedman, David & Lane, David, 1983. "A Nonstochastic Interpretation of Reported Significance Levels," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(4), pages 292-98, October.
    5. Becker, Gary S, 1985. "Human Capital, Effort, and the Sexual Division of Labor," Journal of Labor Economics, University of Chicago Press, vol. 3(1), pages S33-58, January.
    6. Rosenzweig, Mark R & Schultz, T Paul, 1982. "Market Opportunities, Genetic Endowments, and Intrafamily Resource Distribution: Child Survival in Rural India," American Economic Review, American Economic Association, vol. 72(4), pages 803-15, September.
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    Cited by:
    1. Gill, Indermit S. & Khandker, Shahidur R., 1991. "How structure of production determines the demand for human capital," Policy Research Working Paper Series 725, The World Bank.

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