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Explaining the reduction in the gender wage gap during the 1990–94 economic recession in Spain

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  • Ricardo Aller
  • Miren Arce

Abstract

Many studies reveal that male-female wage differentials increase with the level of unemployment, suggesting that women are hurt by a recession more than men. However, the 1990–94 economic recession in Spain contributed to reduce the gender wage gap by almost 5 percentage points (from 83.94 percent in 1990 to 90.44 percent in 1994). This was mainly due to the relative increase in services industry employment, the activity where the gender wage gap is the lowest. Copyright International Atlantic Economic Society 2001

Suggested Citation

  • Ricardo Aller & Miren Arce, 2001. "Explaining the reduction in the gender wage gap during the 1990–94 economic recession in Spain," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 29(1), pages 63-74, March.
    • Handle: RePEc:kap:atlecj:v:29:y:2001:i:1:p:63-74
    DOI: 10.1007/BF02299932
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    1. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
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    3. 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.
    4. Elaine Sorensen, 1990. "The Crowding Hypothesis and Comparable Worth," Journal of Human Resources, University of Wisconsin Press, vol. 25(1), pages 55-89.
    5. Juan F. Jimeno & Luis Toharia, 1993. "The effects of fixed-term employment on wages: theory and evidence from Spain," Investigaciones Economicas, Fundación SEPI, vol. 17(3), pages 475-494, September.
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    Cited by:

    1. Mahajan, Kanika, 2017. "Rainfall Shocks and the Gender Wage Gap: Evidence from Indian Agriculture," World Development, Elsevier, vol. 91(C), pages 156-172.

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