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Biological Measures of Economic History

Author

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  • Richard H. Steckel

    (Department of Economics, Ohio State University, Columbus, Ohio 43210)

Abstract

This review discusses the methodology and some findings underlying four types of biological measures used by economic historians: mortality rates, stature, body mass index, and skeletal remains. Economic historians examine a variety of sources to learn when, why, and where modern industrial societies became rich and healthy. Monetary measures, such as income and wages, are highly desirable but usually unavailable to cover the time periods and countries over which modern societies evolved. Donning interdisciplinary lenses, these historians search archives, libraries, and archaeological sources for scraps of information, often assembled for other purposes, to construct a story of the evolution of humanity’s well-being. Biological measures have the advantage of comparability across time and culture; life expectancy, for example, means about the same today as in ancient Egypt, but the same cannot be said for the purchasing power of income, wages, or wealth.

Suggested Citation

  • Richard H. Steckel, 2013. "Biological Measures of Economic History," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 401-423, May.
  • Handle: RePEc:anr:reveco:v:5:y:2013:p:401-423
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    File URL: http://www.annualreviews.org/doi/abs/10.1146/annurev-economics-080511-110912
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    Citations

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    Cited by:

    1. Akachi, Yoko & Canning, David, 2015. "Inferring the economic standard of living and health from cohort height: Evidence from modern populations in developing countries," Economics & Human Biology, Elsevier, vol. 19(C), pages 114-128.
    2. Alberto Batinti & Joan Costa‐Font & Timothy J. Hatton, 2022. "Voting Up? The Effects of Democracy and Franchise Extension on Human Stature," Economica, London School of Economics and Political Science, vol. 89(353), pages 161-190, January.
    3. Mark E. McGovern & Aditi Krishna & Victor M. Aguayo & S.V. Subramanian, 2017. "A Review of the Evidence Linking Child Stunting to Economic Outcomes," CHaRMS Working Papers 17-03, Centre for HeAlth Research at the Management School (CHaRMS).
    4. Francesca Tosi & Francesco Scalone & Rosella Rettaroli, 2023. "Variations in male height during the epidemiological transition in Italy: A cointegration approach," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 48(7), pages 189-202.
    5. Akachi, Yoko & Canning, David, 2015. "Inferring the economic standard of living and health from cohort height: Evidence from modern populations in developing countries," Economics & Human Biology, Elsevier, vol. 19(C), pages 114-128.
    6. Izdebski, Adam & Koloch, Grzegorz & Słoczyński, Tymon & Tycner, Marta, 2016. "On the use of palynological data in economic history: New methods and an application to agricultural output in Central Europe, 0–2000AD," Explorations in Economic History, Elsevier, vol. 59(C), pages 17-39.
    7. Vincent Geloso & Peter T. Leeson, 2020. "Are Anarcho-Capitalists Insane? Medieval Icelandic Conflict Institutions in Comparative Perspective," Revue d'économie politique, Dalloz, vol. 130(6), pages 957-974.
    8. Galofré-Vilà, Gregori, 2018. "Growth and maturity: A quantitative systematic review and network analysis in anthropometric history," Economics & Human Biology, Elsevier, vol. 28(C), pages 107-118.

    More about this item

    Keywords

    social performance; life expectancy; stature; body mass index; skeletal remains;
    All these keywords.

    JEL classification:

    • N30 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - General, International, or Comparative
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General

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