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Age heaping and numeracy: looking behind the curtain

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  • Matthias Blum
  • Karl†Peter Krauss

Abstract

Age†heaping†based numeracy indicators have served as valuable tools to derive basic human capital estimates, especially for periods where other indicators are unavailable. However, the accuracy of individual age statements usually remains unknown, and due to the lack of precise information it can only be assumed that excessive occurrence of multiples of five in age distributions reflects inferior numerical skills. This article addresses this lacuna by identifying 162 individuals in two independent data sources: self†reported age statements and independently kept records which are based on family heritage books and church registers. This method makes it possible to identify individual misreporting and the degree of accuracy of each individual. Findings show that not everyone who reported a multiple of five was reporting an incorrect age, nor was it the case that everyone who reported an age that was not a multiple of five was reporting an accurate age. The empirical analysis shows that the commonly used binary numeracy indicator is correlated with the observed degree of accuracy in age statements, and that a more sophisticated occupational background reduces this inaccuracy. These results tentatively suggest that the commonly used binary indicator measuring age heaping is a valuable proxy for numerical skills and occupational background in a population.

Suggested Citation

  • Matthias Blum & Karl†Peter Krauss, 2018. "Age heaping and numeracy: looking behind the curtain," Economic History Review, Economic History Society, vol. 71(2), pages 464-479, May.
  • Handle: RePEc:bla:ehsrev:v:71:y:2018:i:2:p:464-479
    DOI: 10.1111/ehr.12615
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    References listed on IDEAS

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    1. Matthias Blum & Christopher L. Colvin & Laura McAtackney & Eoin McLaughlin, 2017. "Women of an uncertain age: quantifying human capital accumulation in rural Ireland in the nineteenth century," Economic History Review, Economic History Society, vol. 70(1), pages 187-223, February.
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    15. Yvonne Stolz & Joerg Baten & Tarcísio Botelho, 2013. "Growth effects of nineteenth-century mass migrations: 'Fome Zero' for Brazil?," European Review of Economic History, European Historical Economics Society, vol. 17(1), pages 95-121, February.
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Dos historias y un destino: alfabetización y habilidades numéricas en España
      by Francisco Beltrán Tapia in Nada Es Gratis on 2017-11-02 11:00:07

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    2. Beltrán Tapia, Francisco J. & Díez-Minguela, Alfonso & Martinez-Galarraga, Julio & Tirado-Fabregat, Daniel A., 2022. "Two Stories, One Fate: Age-Heaping And Literacy In Spain, 1877-1930," Revista de Historia Económica / Journal of Iberian and Latin American Economic History, Cambridge University Press, vol. 40(3), pages 405-438, December.
    3. Èric Gómez-i-Aznar, 2020. "Ad maiorem Dei gloriam. Numeracy levels in the Guarani Jesuit missions," Working Papers 0181, European Historical Economics Society (EHES).
    4. Matthias Blum & Karl‐Peter Krauss & Dmytro Myeshkov, 2022. "Human capital transfer of German‐speaking migrants in eastern Europe, 1780s–1820s," Economic History Review, Economic History Society, vol. 75(3), pages 703-738, August.
    5. Èric Gómez-i-Aznar, 2019. "Human capital at the beginnings of the 18th century Catalonia: age-heaping and numeracy in a changing economy," Documentos de Trabajo (DT-AEHE) 1904, Asociación Española de Historia Económica.
    6. Èric Gómez‐i‐Aznar, 2023. "Ad maiorem Dei gloriam: Numeracy levels in the Guarani Jesuit missions," Economic History Review, Economic History Society, vol. 76(1), pages 87-117, February.

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    More about this item

    JEL classification:

    • N01 - Economic History - - General - - - Development of the Discipline: Historiographical; Sources and Methods
    • N33 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Europe: Pre-1913
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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