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“Dime cómo te llamas y te diré quién eres”: la Ascendencia como mecanismo de diferenciación social en Chile

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  • Javier Núñez Errázuriz
  • Graciela Pérez

Abstract

Este trabajo examina la importancia de la ascendencia como elemento de diferenciación social en Chile. Con este propósito, se investiga, primero, el grado de asociación entre la ascendencia y el estrato socioeconómico de los individuos existente en la actualidad, y segundo, la percepción subjetiva que los apellidos concitan respecto del origen socioeconómico esperado de sus portadores. Los resultados indican que persiste un importante grado de asociación entre ascendencia y condición socioeconómica en la actualidad en Chile. Por otra parte, los apellidos evocan percepciones transversales respecto del origen socioeconómico de sus portadores; percepciones coherentes con el rol jugado por los distintos tipos de ascendencia en el proceso de estructuración social de Chile en el pasado. Las percepciones comunes que despiertan los apellidos son “acertadas”, en el sentido de poseer un significativo poder predictivo del origen socioeconómico efectivo de sus portadores. Finalmente, la evidencia sugiere que dichas percepciones son empleadas para ejercer discriminación laboral en Chile.

Suggested Citation

  • Javier Núñez Errázuriz & Graciela Pérez, 2007. "“Dime cómo te llamas y te diré quién eres”: la Ascendencia como mecanismo de diferenciación social en Chile," Working Papers wp269, University of Chile, Department of Economics.
  • Handle: RePEc:udc:wpaper:wp269
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    References listed on IDEAS

    as
    1. Hamermesh, Daniel S & Biddle, Jeff E, 1994. "Beauty and the Labor Market," American Economic Review, American Economic Association, vol. 84(5), pages 1174-1194, December.
    2. Biddle, Jeff E & Hamermesh, Daniel S, 1998. "Beauty, Productivity, and Discrimination: Lawyers' Looks and Lucre," Journal of Labor Economics, University of Chicago Press, vol. 16(1), pages 172-201, January.
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    1. El ABC de la alfabetización digital: procesar, interpretar y visualizar datos
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