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Dimensions of Illiteracy: A Quantitative and Comparative Approach from Italy, circa 1815

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  • Marco Martinez

Abstract

This paper quantitatively assesses to what extent signatures in marriage certificates can inform about literacy rates in pre-industrial states. The direct estimates are based on a novel and balanced random sample of marriage certificates for pre-unification Italy in 1815. Such figures are compared to all alternative sources available for close years, including direct and indirect approaches who focused on selected areas of Italy. The new empirical methodology is as important as the results found with it. Two main findings emerge. First, marriage certificates can accurately measure literacy rates in preindustrial Italy, but only when accompanied by rigorous sampling procedures. Indeed, the proposed empirical approach allows to go from local to aggregate estimates that generally are in line with other estimates for the period, and can be scaled up or applied in other contexts. Second, North vs Centre-South divides in 1815 are lower than previously suggested. This supports the hypothesis that French reforms and later restoration governments triggered a process of widening North-South literacy divides.

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  • Marco Martinez, 2022. "Dimensions of Illiteracy: A Quantitative and Comparative Approach from Italy, circa 1815," LEM Papers Series 2022/28, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    • Handle: RePEc:ssa:lemwps:2022/28
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    File URL: http://www.lem.sssup.it/WPLem/files/2022-28.pdf
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    1. Vittorio Daniele & Paolo Malanima, 2007. "Il prodotto delle regioni e il divario Nord-Sud in Italia (1861-2004)," Rivista di Politica Economica, SIPI Spa, vol. 97(2), pages 267-316, March-Apr.
    2. Emanuele Felice, 2013. "Regional income inequality in Italy in the long run (1871–2001). Patterns and determinants," UHE Working papers 2013_08, Universitat Autònoma de Barcelona, Departament d'Economia i Història Econòmica, Unitat d'Història Econòmica.
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    Keywords

    Literacy rates; random sampling; marriage certificates; human capital.;
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