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Some socio-economic determinants of fertility in Pakistan: an empirical analysis

Author

Listed:
  • Chani, Muhammad Irfan
  • Shahid, Muhammad
  • Hassan, Mahboob Ul

Abstract

This study is aimed at empirical investigation of the role that various socio-economic factors like female education, urbanization and female labour force participation play in determining fertility of women in Pakistan. ARDL bound testing approach to co-integration is used to analyze the long run relationship of the variables by using the data for the period of 1980 to 2009. Empirical results show that there exists a long run as well as short run relationship between fertility and urbanization, female labour force participation and female education in Pakistan. The analysis indicates that there is negative relationship between all three determinants with fertility. Female education and urbanization of the society play significant role in reducing fertility but the role of female participation in labour force seems to be in insignificant in fertility reduction in Pakistan.

Suggested Citation

  • Chani, Muhammad Irfan & Shahid, Muhammad & Hassan, Mahboob Ul, 2011. "Some socio-economic determinants of fertility in Pakistan: an empirical analysis," MPRA Paper 38742, University Library of Munich, Germany, revised 2011.
  • Handle: RePEc:pra:mprapa:38742
    as

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    File URL: https://mpra.ub.uni-muenchen.de/38742/1/MPRA_paper_38742.pdf
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    References listed on IDEAS

    as
    1. Bettio, Francesca & Villa, Paola, 1998. "A Mediterranean Perspective on the Breakdown of the Relationship between Participation and Fertility," Cambridge Journal of Economics, Oxford University Press, vol. 22(2), pages 137-171, March.
    2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    3. Banerjee, Abhijit V & Newman, Andrew F, 1994. "Poverty, Incentives, and Development," American Economic Review, American Economic Association, vol. 84(2), pages 211-215, May.
    4. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    5. Phillips, P.C.B., 1986. "Understanding spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 33(3), pages 311-340, December.
    6. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    7. Øystein Kravdal, 2002. "Education and fertility in sub-Saharan africa: Individual and community effects," Demography, Springer;Population Association of America (PAA), vol. 39(2), pages 233-250, May.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Fertility; female education; population; female labour force participation; urbanization;

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

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