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Determinants of Female Labor Force Participation: A Micro Analysis of Pakistan

Author

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  • Nooreen Mujahid

    (Department of Economics, University of Karachi, Pakistan)

Abstract

This paper analyzes the determinants both personal and household of female labor supply in Pakistan. It provides empirical evidence supporting various aspects of female participation by employing cross sectional data on females between the ages of 10-65 drawn from Labor Force Survey for the year 2005-06. Potential explanatory variables that determine female labor force participation includes females’ personal characteristics and household characteristics. The probit model is used to estimate the impact of the said variables on female labor force participation. The paper explored that the probability of female labor force participation increases with age. An interpretation stems from the fact that younger females would not command a decent wage due to low level of education, lack of experience and training. To conclude that women with higher education are more likely to participate and involve in the productive activities. Thus, the probability of participation increases substantially with the increase in the levels of education. Age and experience of women has a sizable impact on the decision to participate in the labor market. Investment in female education can be useful as it represents an investment that will pay off later on. This paper opens up new insights for policy makers to improve labor force participation in Pakistan.

Suggested Citation

  • Nooreen Mujahid, 2014. "Determinants of Female Labor Force Participation: A Micro Analysis of Pakistan," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 2(5), pages 211-220, May.
    • Handle: RePEc:ijr:journl:v:2:y:2014:i:5:p:211-220
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    Citations

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    Cited by:

    1. Sara H. HOSNEY, 2016. "Factors Influencing Female Labor Force Participation in Egypt and Germany: A Comparative Study," Turkish Economic Review, KSP Journals, vol. 3(3), pages 537-541, September.
    2. Usman, Ojonugwa & Sanusi, Abdussamad, 2016. "Education and Labor Force Participation of Women in North Cyprus: Evidence from Binomial Logit Regression Model," MPRA Paper 77140, University Library of Munich, Germany.
    3. Berga, Helen & Abdisa, Lamessa T., 2022. "Assessing Gender Gap in Wage and Self-Employment: Evidence from Ethiopia," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 31(01), April.
    4. Sana Naseem & Kamini Dhruva, 2017. "Issues and Challenges of Saudi Female Labor Force and the Role of Vision 2030: A Working Paper," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 23-27.
    5. Sara Hassan Hosney, 2016. "Factors Influencing Female Labor Force Participation in Egypt and Germany: A Comparative Study," SOEPpapers on Multidisciplinary Panel Data Research 826, DIW Berlin, The German Socio-Economic Panel (SOEP).

    More about this item

    Keywords

    Labor force participation; Pakistan;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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