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Estimating Gender Differences In Agricultural Productivity: Biases Due To Omission Of Gender-Influenced Variables And Endogeneity Of Regressors

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Listed:
  • Lilja, Nina K.
  • Randolph, Thomas F.
  • Diallo, Abrahmane

Abstract

This study evaluates managerial differences between men and women and assesses the degree of bias introduced by omission of gender-influenced variables and ignoring the endogeneity of farmer characteristics and input levels. The results also give insight to improving research methods for isolating the gender impact on productivity.

Suggested Citation

  • Lilja, Nina K. & Randolph, Thomas F. & Diallo, Abrahmane, 1998. "Estimating Gender Differences In Agricultural Productivity: Biases Due To Omission Of Gender-Influenced Variables And Endogeneity Of Regressors," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20976, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea98:20976
    DOI: 10.22004/ag.econ.20976
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    File URL: https://ageconsearch.umn.edu/record/20976/files/splilj01.pdf
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    References listed on IDEAS

    as
    1. Quisumbing, Agnes R., 1996. "Male-female differences in agricultural productivity: Methodological issues and empirical evidence," World Development, Elsevier, vol. 24(10), pages 1579-1595, October.
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    Cited by:

    1. Bina Agarwal, 2015. "Food Security, Productivity, and Gender Inequality," Working Papers id:7566, eSocialSciences.

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