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Lead-lag between female employment and economic growth: evidence from Canada

Author

Listed:
  • Salehyar, Masoud
  • Masih, Mansur

Abstract

Based on estimations by (Aguirre, Hoteit, Rupp, & Sabbagh, 2012) there are 865 million women who have the potential to participate in their countries economic development worldwide. Thus, it is a matter of concern to see the effect of their contribution to the economy and how this contribution can be enhanced. In the recent years, there have been numerous studies on the issue of women labor force participation in the economy and economic growth. however, there is a limited number of studies focusing on the casual relation between the mentioned variables. This article is looking into the issue of the causal relationship of women labor force participation in the economy, gender equality in education, and economic growth by using the standard time series techniques such as, VECM and VDC. The results of the paper tend to indicate that there is a bilateral causality between women employment and economic growth where in the short-run GDP is the leading variable but in the long-run it is women employment which is the leader.

Suggested Citation

  • Salehyar, Masoud & Masih, Mansur, 2017. "Lead-lag between female employment and economic growth: evidence from Canada," MPRA Paper 109892, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:109892
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    References listed on IDEAS

    as
    1. Mr. Boileau Loko & Mame Astou Diouf, 2009. "Revisiting the Determinants of Productivity Growth - What’s new?," IMF Working Papers 2009/225, International Monetary Fund.
    2. Sher Verick, 2025. "Female labor force participation and development," IZA World of Labor, Institute of Labor Economics (IZA), pages 873-873, May.
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    4. Swamy, Vighneswara, 2014. "Financial Inclusion, Gender Dimension, and Economic Impact on Poor Households," World Development, Elsevier, vol. 56(C), pages 1-15.
    5. Kabeer, Naila, 2001. "Conflicts Over Credit: Re-Evaluating the Empowerment Potential of Loans to Women in Rural Bangladesh," World Development, Elsevier, vol. 29(1), pages 63-84, January.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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