Sibling Differences in Genetic Propensity for Education: How Do Parents React?

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10045/135829
Información del item - Informació de l'item - Item information
Título: Sibling Differences in Genetic Propensity for Education: How Do Parents React?
Autor/es: Sanz-de-Galdeano, Anna | Terskaya, Anastasia
Grupo/s de investigación o GITE: Economía Laboral y Econometría (ELYE)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Fundamentos del Análisis Económico
Palabras clave: Intra-household allocation of resources | Educational polygenic index | Parental investments | Add Health
Fecha de publicación: 12-abr-2023
Editor: MIT Press
Cita bibliográfica: The Review of Economics and Statistics. 2023. https://doi.org/10.1162/rest_a_01326
Resumen: We take advantage of recent advances in genomics to revisit a classic question in economics: how do parents respond to children's endowments and to sibling differences in endowments? We use an index based on DNA, which is fixed at conception and assigned randomly across siblings, as a proxy for educational endowments. We find that parents of nontwins display inequality aversion: given the absolute endowment level of one child, they invest less in him/her if his/her sibling has a lower genetic predisposition to education. In contrast, we find no evidence that parents of dizygotic twins react to endowment differences between children.
Patrocinador/es: Project PID2021-124237NB-I00 financed by MCIN/ AEI /10.13039/501100011033/ and by FEDER, Una manera de hacer Europa; and from Project CIPROM/2021/068 financed by Consellería de Innovación, Universidades, Ciencia y Sociedad Digital. Spanish Ministry of Economy and Competitiveness Grant PID2020-120589RA-I00.
URI: http://hdl.handle.net/10045/135829
ISSN: 0034-6535 (Print) | 1530-9142 (Online)
DOI: 10.1162/rest_a_01326
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2023 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Revisión científica: si
Versión del editor: https://doi.org/10.1162/rest_a_01326
Aparece en las colecciones:INV - ELYE - Artículos de Revistas

Archivos en este ítem:
Archivos en este ítem:
Archivo Descripción TamañoFormato 
ThumbnailSanz-de-Galdeano_Terskaya_2023_RevEconStat.pdf468,37 kBAdobe PDFAbrir Vista previa


Este ítem está licenciado bajo Licencia Creative Commons Creative Commons