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The Global Gender Distortions Index (GGDI)

Author

Listed:
  • Pinelopi Goldberg
  • Charles Gottlieb
  • Somik Lall
  • Meet Mehta
  • Michael Peters
  • Aishwarya Lakshimi Ratan

Abstract

The extent to which women participate in the labor market varies greatly across the globe. If such differences reflect distortions that women face in accessing good jobs, they can reduce economic activity through a misallocation of talent. In this paper, we build on Hsieh et al. (2019) to provide a methodology to quantify these productivity consequences. The index we propose, the ”Global Gender Distortions Index (GGDI)”, measures the losses in aggregate productivity that gender-based misallocation imposes. Our index allows us to separately identify labor demand distortions (e.g., discrimination in hiring for formal jobs) from labor supply distortions (e.g., frictions that discourage women’s labor force participation) and can be computed using data on labor income and job types. Our methodology also highlights an important distinction between welfare-relevant misallocation and the consequences on aggregate GDP if misallocation arises between market work and non-market activities. To showcase the versatility of our index, we analyze gender misallocation within countries over time, across countries over the development spectrum, and across local labor markets within countries. We find that misallocation is substantial and that demand distortions account for most of the productivity losses.

Suggested Citation

  • Pinelopi Goldberg & Charles Gottlieb & Somik Lall & Meet Mehta & Michael Peters & Aishwarya Lakshimi Ratan, 2025. "The Global Gender Distortions Index (GGDI)," CESifo Working Paper Series 12061, CESifo.
  • Handle: RePEc:ces:ceswps:_12061
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    References listed on IDEAS

    as
    1. Benjamin Bridgman & Andrew Craig & Danit Kanal, 2022. "Accounting for Household Production in the National Accounts," Survey of Current Business, Bureau of Economic Analysis, vol. 102(2), pages 1-3, February.
    2. Stephan Klasen, 2019. "What Explains Uneven Female Labor Force Participation Levels and Trends in Developing Countries?," The World Bank Research Observer, World Bank, vol. 34(2), pages 161-197.
    3. Gaurav Chiplunkar & Pinelopi K. Goldberg, 2021. "Aggregate Implications of Barriers to Female Entrepreneurship," NBER Working Papers 28486, National Bureau of Economic Research, Inc.
    4. Alessandra Fogli & Laura Veldkamp, 2011. "Nature or Nurture? Learning and the Geography of Female Labor Force Participation," Econometrica, Econometric Society, vol. 79(4), pages 1103-1138, July.
    5. Benjamin Bridgman & Andrew Craig & Danit Kanal, 2022. "Accounting for Household Production in the National Accounts," Survey of Current Business, Bureau of Economic Analysis, February.
    6. Fletcher, Erin K. & Pande, Rohini & Moore, Charity Troyer, 2019. "Women and Work in India: Descriptive Evidence and a Review of Potential Policies," India Policy Forum, National Council of Applied Economic Research, vol. 15(1), pages 149-216.
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    More about this item

    Keywords

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    JEL classification:

    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General

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