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Female Labor Force Participation in Pakistan: A Case of Punjab

Author

Listed:
  • Safana Shaheen
  • Maqbool Hussain Sial
  • Masood Sarwar Awan

Abstract

The present study is an effort to investigate the patterns of female labor force participation in case of Pakistan. In particular, the study analyzed the determinants of female labor force participation decision. The study utilized Multiple Indicator Cluster Survey 2007-08 data of Punjab. Education is used as a direct human capital variable while; age is a proxy of human capital. The variables used in the analysis are female labour force participation, age, age square, marital status, area, female monthly income, family monthly income, family size, household head education, different classes of female education and employment status. To remove the selectivity bias, the study used Heckman’s (1979) two step procedure. Results of Logit model depicts that household head education, primary, middle, matric & mudrassa education level negatively related with the decision of female labor force participation while, decision towards participation is strong if female belonged to urban area, if she is married, if she has higher education, and if she has large family size. By using ordinary Least Square Method we estimated the earning function. Coefficient of age shows a substantial increase in the wages with each additional year spent. The sign of age square is negative which is according to our expectation and implying the concavity of earning function. Moreover, as the level of education increase the returns to each year of education also increases. In different occupational status females earns more if they are employee, employer or self employed than labourer (a reference category); while female earns less if they belonged to agricultural sector or other sectors than labourer. Married females earn more than others. The respondents’ belonged to urban areas earn more than rural respondents. Moreover, household head education and family size are positively significantly related with female earnings.

Suggested Citation

  • Safana Shaheen & Maqbool Hussain Sial & Masood Sarwar Awan, 2011. "Female Labor Force Participation in Pakistan: A Case of Punjab," Journal of Social and Development Sciences, AMH International, vol. 2(3), pages 104-110.
  • Handle: RePEc:rnd:arjsds:v:2:y:2011:i:3:p:104-110
    DOI: 10.22610/jsds.v2i3.659
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    References listed on IDEAS

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    1. Francine D. Blau & Lawrence M. Kahn, 2007. "Changes in the Labor Supply Behavior of Married Women: 1980–2000," Journal of Labor Economics, University of Chicago Press, vol. 25(3), pages 393-438.
    2. Maglad, N.A., 1998. "Female Labour Supply in Sudan," Papers 30s, African Economic Research Consortium.
    3. Mincer, Jacob & Polachek, Solomon, 1974. "Family Investment in Human Capital: Earnings of Women," Journal of Political Economy, University of Chicago Press, vol. 82(2), pages 76-108, Part II, .
    4. Yannis Georgellis & Howard Wall, 2005. "Gender differences in self-employment," International Review of Applied Economics, Taylor & Francis Journals, vol. 19(3), pages 321-342.
    5. Raaum Oddbjørn & Bratsberg Bernt & Røed Knut & Österbacka Eva & Eriksson Tor & Jäntti Markus & Naylor Robin A, 2008. "Marital Sorting, Household Labor Supply, and Intergenerational Earnings Mobility across Countries," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(2), pages 1-49, January.
    6. 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.
    7. repec:lje:journl:v:2:y:2007:i:2:p:49-68 is not listed on IDEAS
    8. Eatzaz Ahmad, 2007. "Labour Supply and Earning Functions of Educated Married Women: A Case Study of Northern Punjab," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 46(1), pages 45-62.
    9. Masood Sarwar Awan & Zakir Hussain, 2007. "Returns to Education and Gender Differentials in Wages in Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 12(2), pages 49-68, Jul-Dec.
    10. Mehak Ejaz, 2007. "Determinants of Female Labor Force Participation in Pakistan An Empirical Analysis of PSLM (2004-05) Micro Data," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 12(Special E), pages 204-235, September.
    11. Faridi, Muhammad Zahir & Chaudhry, Imran Sharif & Anwar, Mumtaz, 2009. "The Socio-Economic and Demographic Determinants of Women Work Participation in Pakistan: Evidence from Bahawalpur District," MPRA Paper 22831, University Library of Munich, Germany.
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