IDEAS home Printed from https://ideas.repec.org/a/pid/journl/v46y2007i1p45-62.html
   My bibliography  Save this article

Labour Supply and Earning Functions of Educated Married Women: A Case Study of Northern Punjab

Author

Listed:
  • Eatzaz Ahmad

    (Quaid-i-Azam University, Islamabad)

Abstract

This study analyses labour supply of educated married women in Mandi Bahauddin, a typical district of northern Punjab in Pakistan. The study finds that the education level and economic compulsion are important factors affecting women s labour force participation decision. But, otherwise, they are independent in their decision-making, e.g., the women living in joint families or those with less educated husbands and/or parents are not socially constrained in terms of participation. Human capital variables like education, experience, and training, besides the nature of occupation and distance from the central city, are the important factors affecting women s earning rates, while the hours of work are mainly determined institutionally.

Suggested Citation

  • 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.
  • Handle: RePEc:pid:journl:v:46:y:2007:i:1:p:45-62
    as

    Download full text from publisher

    File URL: http://www.pide.org.pk/pdf/PDR/2007/Volume1/45-62.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jacob Mincer & Solomon Polachek, 1974. "Family Investments in Human Capital: Earnings of Women," NBER Chapters, in: Marriage, Family, Human Capital, and Fertility, pages 76-110, National Bureau of Economic Research, Inc.
    2. Killingsworth, Mark R. & Heckman, James J., 1987. "Female labor supply: A survey," Handbook of Labor Economics, in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 2, pages 103-204, Elsevier.
    3. Tassawar Saeed Ibraz, 1993. "The Cultural Context of Women's Productive Invisibility: A Case Study of a Pakistani Village," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 32(1), pages 101-125.
    4. 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.
    5. Khandker, Shahidur R, 1988. "Determinants of Women's Time Allocation in Rural Bangladesh," Economic Development and Cultural Change, University of Chicago Press, vol. 37(1), pages 111-126, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Makino, Momoe, 2012. "What motivates female operators to enter the garment industry in Pakistan in the post-MFA period?," IDE Discussion Papers 374, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    3. Muhammad Zahir Faridi & Ayesha Rashid, 2014. "The Correlates of Educated Women’s Labor Force Participation in Pakistan: A Micro-Study," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 19(2), pages 155-184, July-Dec.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Claudia Olivetti, 2006. "Changes in Women's Hours of Market Work: The Role of Returns to Experience," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(4), pages 557-587, October.
    2. Francine D. Blau & Lawrence M. Kahn, 2006. "The U.S. Gender Pay Gap in the 1990S: Slowing Convergence," ILR Review, Cornell University, ILR School, vol. 60(1), pages 45-66, October.
    3. David Neumark, 1993. "Sex Discrimination and Women's Labor Market Interruptions," NBER Working Papers 4260, National Bureau of Economic Research, Inc.
    4. Miyoshi, Koyo, 2008. "Male-female wage differentials in Japan," Japan and the World Economy, Elsevier, vol. 20(4), pages 479-496, December.
    5. Kadreva, Olga, 2016. "The influence of quantity and age of children on working women’ salaries," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 41, pages 62-77.
    6. Troske, Kenneth R. & Voicu, Alexandru, 2010. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Labour Economics, Elsevier, vol. 17(1), pages 150-169, January.
    7. Chen, Natalie & Conconi, Paola & Perroni, Carlo, 2007. "Women’s Earning Power and the “Double Burden” of Market and Household Work," The Warwick Economics Research Paper Series (TWERPS) 800, University of Warwick, Department of Economics.
    8. P.W. Miller & S. Rummery, 1989. "Gender Wage Discrimination in Australia: A reassessment," Economics Discussion / Working Papers 89-21, The University of Western Australia, Department of Economics.
    9. Anil Kumar, 2012. "Nonparametric estimation of the impact of taxes on female labor supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(3), pages 415-439, April.
    10. Garcia-Aracil, Adela & Winter, Carolyn, 2006. "Gender and ethnicity differentials in school attainment and labor market earnings in Ecuador," World Development, Elsevier, vol. 34(2), pages 289-307, February.
    11. repec:hal:wpspec:info:hdl:2441/f4rshpf3v1umfa09lat214kj4 is not listed on IDEAS
    12. Avner Ahituv & Robert Lerman, 2011. "Job turnover, wage rates, and marital stability: How are they related?," Review of Economics of the Household, Springer, vol. 9(2), pages 221-249, June.
    13. Peter Huber & Ulrike Huemer, 2015. "Gender Differences in Lifelong Learning: An Empirical Analysis of the Impact of Marriage and Children," LABOUR, CEIS, vol. 29(1), pages 32-51, March.
    14. Koumenta, Maria & Pagliero, Mario & Rostam-Afschar, Davud, 2020. "Occupational licensing and the gender wage gap," Hohenheim Discussion Papers in Business, Economics and Social Sciences 13-2020, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    15. Erosa, Andres & Fuster, Luisa & Restuccia, Diego, 2016. "A quantitative theory of the gender gap in wages," European Economic Review, Elsevier, vol. 85(C), pages 165-187.
    16. Lokshin, Michael M. & Glinskaya, Elena & Garcia, Marito, 2000. "The effect of early childhood development programs on women's labor force participation and older children's schooling in Kenya," Policy Research Working Paper Series 2376, The World Bank.
    17. Solomon Polachek, 2003. "Mincer's Overtaking Point and the Life Cycle Earnings Distribution," Review of Economics of the Household, Springer, vol. 1(4), pages 273-304, December.
    18. Carolina Castagnetti & Luisa Rosti, 2012. "Unfair tournaments: gender stereotyping and wage discrimination among Italian graduates," DEM Working Papers Series 010, University of Pavia, Department of Economics and Management.
    19. Thierry Debrand & Sophie Pennec & Anne-Gisèle Privat, 2003. "Un modèle de microsimulation pour la projection des retraites du régime général," Economie & Prévision, La Documentation Française, vol. 0(4), pages 215-230.
    20. Michiel Evers & Ruud A. De Mooij & Daniel J. Van Vuuren, 2005. "What Explains the Variation in Estimates of Labour Supply Elasticities?," CESifo Working Paper Series 1633, CESifo.
    21. Ramirez, Francisco A., 2013. "Oferta de Trabajo en la República Dominicana: Tendencias y Determinantes [Labor Supply in the Dominican Republic: Trends and Determinants]," MPRA Paper 51913, University Library of Munich, Germany.

    More about this item

    Keywords

    Labour Force and Employment; Size; and Structure; Time Allocation and Labour Supply;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pid:journl:v:46:y:2007:i:1:p:45-62. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Khurram Iqbal (email available below). General contact details of provider: https://edirc.repec.org/data/pideipk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.