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2023 | nr 1 (50) | 67--94
Tytuł artykułu

Unequal pay for equal education! A case of gender wage gap from Punjab, Pakistan

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study aimed to quantify the returns to tertiary educational attainment and measures the extent to which these returns differ for men and women. The article provides new empirical evidence of the returns to tertiary education literature by introducing a unique instrument, namely the supply of education to deal with endogeneity. The analysis is implemented using a pooled cross-section of five rounds of the Pakistan Social and Living Standards survey with 10,000 observations. The results show that the marginal returns to acquiring one extra year of education beyond matriculation are higher for women than for men. This result could partially explain the reversal of the gender gap in enrolments from secondary and lower to the post-secondary level of education in Punjab. The first stage results highlight the significance of investing in physical infrastructure for the greater accumulation of human capital.(original abstract)
Rocznik
Numer
Strony
67--94
Opis fizyczny
Twórcy
  • Lahore School of Economics, Pakistan
Bibliografia
  • Andrabi, T., Das, J. and Khwaja, A. I. (2008). A dime a day: The possibilities and limits of private schooling in Pakistan. Comparative Education Review, 52(3), 329-355.
  • Angrist, J. D. and Keueger, A. B. (1991). Does compulsory school attendance affect schooling and earnings? The Quarterly Journal of Economics, 106(4), 979-1014.
  • Asadullah, M. N. and Xiao, S. (2019). Labor market returns to education and English language skills in the People's Republic of China: An update. Asian Development Review, 36(1), 80-111.
  • Ashenfelter, O. and Zimmerman, D. J. (1997). Estimates of the returns to schooling from sibling data: Fathers, sons, and brothers. Review of Economics and Statistics, 79(1), 1-9.
  • Aslam, M. (2009). Education gender gaps in Pakistan: Is the labor market to blame? Economic Development and Cultural Change, 57(4), 747-784.
  • Attanasio, O. and Kaufmann, K. (2009). Educational choices, subjective expectations, and credit constraints. Technical report, National Bureau of Economic Research.
  • Banerjee, A., Glewwe, P., Powers, S. and Wasserman, M. (2013). Expanding access and increasing student learning in post-primary education in developing countries: A review of the evidence. Citeseer.
  • Becker, G. S. (2010). The economics of discrimination. University of Chicago press.
  • Bertoni, M. and Brunello, G. (2016). Later-borns don't give up: The temporary effects of birth order on European earnings. Demography, 53(2), 449-470.
  • Bingley, P., Christensen, K., and Walker, I. (2009). The returns to observed and unobserved skills over time: Evidence from a panel of the population of Danish twins. Danish National Institute for Social Research.
  • Blau, F. D. and Kahn, L. M. (1992). The gender earnings gap: Learning from international comparisons. The American Economic Review, 82(2), 533-538.
  • Blau, F. D. and Kahn, L. M. (2017). The gender wage gap: Extent, trends, and explanations. Journal of economic literature, 55(3):789-865.
  • Blundell, R., Dearden, L., Goodman, A. and Reed, H. (2000). The returns to higher education in Britain: Evidence from a British cohort. The Economic Journal, 110(461), F82-F99.
  • Bonjour, D., Cherkas, L., Haskel, J., Hawkes, D. and Spector, T. (2002). Estimating returns to education using a new sample of UK twins. Queen Mary and Westfield College, London.
  • Card, D. (1993a). Using geographic variation in college proximity to estimate the return to schooling. Technical report, National Bureau of Economic Research.
  • Card, D. (1993b). Using geographic variation in college proximity to estimate the return to schooling.
  • Card, D. (1999). The causal effect of education on earnings. In Handbook of Labour Economics, volume 3, pages 1801-1863. Elsevier.
  • Carneiro, P., Meghir, C. and Parey, M. (2013). Maternal education, home environments, and the development of children and adolescents. Journal of the European Economic Association, 11 (suppl 1), 123-160.
  • Case, A. and Deaton, A. (1999). School inputs and educational outcomes in South Africa. The Quarterly Journal of Economics, 114(3), 1047-1084.
  • Cheema, A., Khwaja, A. I., Naseer, F. and Shapiro, J. N. (2019). Glass walls: Experimental evidence on access constraints faced by women. Technical report, Mimeo, Harvard University.
  • Currie, J. and Moretti, E. (2003). Mother's education and the intergenerational transmission of human capital: Evidence from college openings. The Quarterly journal of economics, 118(4), 1495-1532.
  • Dickens, W. T. and Lang, K. (1993). Labor market segmentation theory: Reconsidering the evidence. Labor economics: Problems in analyzing labor markets, 141-180.
  • Dickson, M. and Smith, S. (1995). What determines the return to education: An extra year or a hurdle cleared? Economics of Education Review, 30(6), 1167-1176.
  • Dinkelman, T., Martinez, A. C. (2014). Investing in schooling in Chile: The role of information about financial aid for higher education. Review of Economics and Statistics, 96(2), 244-257.
  • Dougherty, C. (2005). Why are the returns to schooling higher for women than for men? The Journal of Human Resources, 40(4), 969-988.
  • Duflo, E. (2001). Schooling and labor market consequences of school construction in Indonesia: Evidence from an unusual policy experiment. American Economic Review, 91(4), 795-813.
  • Epstein, C. F. (1988). Deceptive distinctions: Sex, gender, and the social order. Yale University Press.
  • Goldin, C. (2014). A grand gender convergence: Its last chapter. American EconomicReview, 104(4), 1091-1119.
  • Harmon, C. and Walker, I. (1995). Estimates of the economic return to schooling for the United Kingdom. The American Economic Review, 85(5), 1278-1286.
  • Heckman, J. J. (1976). The common structure of statistical models of truncation, sample selection and limited dependent variables, and a simple estimator for such models. In Annals of economic and social measurement, 5(4), 475-492, NBER.
  • Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica, 47(1), 153-161.
  • Higher Education Commission (2007). Guidelines for the establishment of a new university or an institution of higher education.
  • Isacsson, G. (1999). Estimates of the return to schooling in Sweden from a large sample of twins. Labour Economics, 6(4), 471-489.
  • Jensen, R. (2010). The (perceived) returns to education and the demand for schooling. The Quarterly Journal of Economics, 125(2), 515-548.
  • Jensen, R. (2012). Do labor market opportunities affect young women's work and family decisions? Experimental evidence from India. The Quarterly Journal of Economics, 127(2), 753-792.
  • Kantarevic, J. and Mechoulan, S. (2006). Birth order, educational attainment, and earnings an investigation using the PSID. Journal of Human Resources, 41(4), 755-777.
  • Khan, F. (2017). Barriers to pay equality in Pakistan. International Labor Organization, Geneva, Switzerland.
  • Khan, S. (2021). Unmet expectations: The impacts of school construction on female outcomes in rural Punjab, Pakistan.
  • Krueger, A. and Ashenfelter, O. (1992). Estimates of the economic return to schooling from a new sample of twins. National Bureau of Economic Research.
  • Lavy, V. (1996). School supply constraints and children's educational outcomes in rural Ghana. Journal of Development Economics, 51(2), 291-314.
  • Levanon, A., England, P. and Allison, P. (2009). Occupational feminization and pay: Assessing causal dynamics using 1950-2000 U.S. census data. Social Forces, 88(2), 865-891.
  • Lillard, L. A. and Willis, R. J. (1994). Intergenerational educational mobility: Effects of family and state in Malaysia. Journal of Human Resources, 29(4), 1126-1166.
  • Maluccio, J. A. (1998). Endogeneity of schooling in the wage function. Technical report, International Food Policy Research Institute (IFPRI).
  • Mazumder, B., Rosales-Rueda, M. and Triyana, M. (2019). Intergenerational human capital spillovers: Indonesia's school construction and its effects on the next generation. In AEA Papers and Proceedings, 109, 243-249.
  • Miller, P., Mulvey, C. and Martin, N. (1995). What do twin studies reveal about the economic returns to education? A comparison of Australian and U.S. findings. The American Economic Review, 85(3), 586-599.
  • Mincer, J. (1962). Labor force participation of married women: A study of labor supply. In Aspects of labor economics, 63-105, Princeton University Press.
  • Mincer, J. (1974). Schooling, experience and earnings. Series Human Behavior Social Institutions, NBER.
  • Neumark, D. and Korenman, S. (1992). Sources of bias in women's wage equations: Results using sibling data, NBER Working Papers 4019, National Bureau of Economic Research, Inc.
  • Söderbom, M., Teal, F., Wambugu, A. and Kahyarara, G. (2006). The dynamics of returns to education in Kenyan and Tanzanian manufacturing. Oxford Bulletin of Economics and Statistics, 68(3), 261-288.
  • Tirmazee, Z. (2021). Too much of a good thing? Increasing gender wage disparity in face of rapidly expanding post-secondary education in Punjab, Pakistan. Technical report.
  • Trostel, P., Walker, I. and Woolley, P. (2002). Estimates of the economic return to schooling for 28 countries. Labour economics, 9(1), 1-16.
  • Valero, A. and Van Reenen, J. (2019). The economic impact of universities: Evidence from across the globe. Economics of Education Review, 68, 53-67.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171668123

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