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Educational Gap and Family Structure in Uruguay

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  • Cid, Alejandro

Abstract

In this paper we use household survey data to study the determinants of children’s educational achievement in Uruguay. As an indicator of this educational achievement, we build the “educational gap” which is the difference between expected years of schooling of a child and actual years of schooling. Among the determinants, we introduce indicators of family environment, focusing on the impact of the parents’ marital status on their children educational attainment. In particular, the results suggest positive infuence of having married parents on daughter’s educational outcomes, after controlling for household background variables such as parents’ education, income percapita, wealth and number of children.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 39911.

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Date of creation: Oct 2007
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Handle: RePEc:pra:mprapa:39911

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Keywords: censored data; treatment evaluation; education; family instability; cohabitation;

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  1. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, Elsevier, vol. 25(3), pages 303-325, July.
  2. Francesconi, Marco & Jenkins, Stephen P. & Siedler, Thomas, 2005. "Childhood family structure and schooling outcomes: evidence for Germany," ISER Working Paper Series 2005-22, Institute for Social and Economic Research.
  3. Kenneth Y. Chay & James L. Powell, 2001. "Semiparametric Censored Regression Models," Journal of Economic Perspectives, American Economic Association, American Economic Association, vol. 15(4), pages 29-42, Fall.
  4. Datcher-Loury, Linda, 1988. "Effects of Mother's Home Time on Children's Schooling," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 367-73, August.
  5. David McKenzie & Hillel Rapoport, 2006. "Migration and education inequality in rural Mexico," INTAL Working Papers, Inter-American Development Bank, INTAL 1446, Inter-American Development Bank, INTAL.
  6. Berlinski, Samuel & Galiani, Sebastian & Manacorda, Marco, 2008. "Giving children a better start: Preschool attendance and school-age profiles," Journal of Public Economics, Elsevier, Elsevier, vol. 92(5-6), pages 1416-1440, June.
  7. Cid, Alejandro & Viana, Luis & Presno, Ignacio, 2004. "Institutions, Family and Economic Performance," MPRA Paper 39908, University Library of Munich, Germany.
  8. Honore, Bo E. & Powell, James L., 1994. "Pairwise difference estimators of censored and truncated regression models," Journal of Econometrics, Elsevier, Elsevier, vol. 64(1-2), pages 241-278.
  9. Powell, James L, 1986. "Symmetrically Trimmed Least Squares Estimation for Tobit Models," Econometrica, Econometric Society, Econometric Society, vol. 54(6), pages 1435-60, November.
  10. Fishback, Price V & Baskin, John S, 1991. "Narrowing the Black-White Gap in Child Literacy in 1910: The Roles of School Inputs and Family Inputs," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 725-28, November.
  11. Björklund, Anders & Ginther, Donna K. & Sundström, Marianne, 2010. "Does Marriage Matter for Children? Assessing the Impact of Legal Marriage in Sweden," Working Paper Series, Swedish Institute for Social Research 3/2010, Swedish Institute for Social Research.
  12. Anne Case & Angus Deaton, 1999. "School Inputs And Educational Outcomes In South Africa," The Quarterly Journal of Economics, MIT Press, MIT Press, vol. 114(3), pages 1047-1084, August.
  13. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, StataCorp LP, vol. 2(4), pages 358-377, November.
  14. Lykke Andersen, 2001. "Social Mobility in Latin America: Links with Adolescent Schooling," Research Department Publications, Inter-American Development Bank, Research Department 3130, Inter-American Development Bank, Research Department.
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