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Measuring the Gendered Economy

Author

Listed:
  • Gretchen Donehower

    (University of California at Berkeley
    Academic Specialist)

Abstract

If we want to imagine the details of a person’s life, one of the most relevant facts about that person we can know is age. Given age, we can take a decent guess at many other aspects of life, such as household arrangement, educational status, work life, risk of death, relationship with the public sector, and many other features. For example, a 2-year-old most likely lives with one or two parents, is not involved in formal education or the labor force, has a fairly low probability of death, and is neither paying taxes nor receiving more than a small amount of public benefits that might go toward health care or as part of a family benefit. In contrast, a 40-year-old most likely lives with a spouse or partner and one or more children, has completed education, is in the labor force earning income and paying taxes, as well as making substantial transfers to family members to support their consumption. The ability of age to tell us so much about a person’s social and economic life is one of the central motivations behind the National Transfer Accounts (NTA) project.

Suggested Citation

  • Gretchen Donehower, 2018. "Measuring the Gendered Economy," Working Papers cwwwp4, University of Cape Town, Development Policy Research Unit.
    • Handle: RePEc:ctw:wpaper:cwwwp4
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    References listed on IDEAS

    as
    1. Auerbach, Alan J. & Kotlikoff, Laurence J. & Leibfritz, Willi (ed.), 1999. "Generational Accounting around the World," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226032139, December.
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    5. Marianne Bertrand & Claudia Goldin & Lawrence F. Katz, 2010. "Dynamics of the Gender Gap for Young Professionals in the Financial and Corporate Sectors," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 228-255, July.
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    Cited by:

    1. Morne Oosthuizen, 2018. "Counting Women’s Work in South Africa: Incorporating Unpaid Work into Estimates of the Economic Lifecycle in 2010," Working Papers cwwwp8, University of Cape Town, Development Policy Research Unit.
    2. Morne Oosthuizen, 2018. "Counting Women's Work in South Africa: Estimates of Household Production across the Lifecycle in 2000," Working Papers cwwwp6, University of Cape Town, Development Policy Research Unit.
    3. Morne Oosthuizen & Kezia Lilenstein, 2018. "Counting Women’s Work in Mauritius: Household Production across the Lifecycle in 2003," Working Papers cwwwp7, University of Cape Town, Development Policy Research Unit.

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