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A Review of Intergenerational Mobility and its Drivers

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  • Jan Stuhler

Abstract

This report reviews evidence on intergenerational mobility and the transmission of socio-economic advantages from parents to children. The review examines conceptual questions on how to measure intergenerational mobility, empirical evidence on both descriptive and causal questions, and the data requirements that mobility research faces. The extent of income mobility varies substantially between countries, and appears negatively correlated with income inequality both across and within countries. For this reason, there is particular interest on mobility trends over time in those countries where income inequality has recently been increasing. However, the evidence for mobility trends in more recent cohorts is as yet less conclusive. Descriptive associations can only be suggestive of causal links, and the report also reviews evidence from more targeted research designs on the importance of (i) neighbourhoods and schools, (ii) early childhood and childcare, (iii) educational systems and track choice, (iv) private and public education, and (v) informational frictions and beliefs. The evidence demonstrates that educational policies can affect intergenerational mobility. An important trend in these and other literatures is the increasing use of administrative data sources, such as social security or tax data. The review discusses important hurdles in their adoption for mobility research, and points to data initiatives that could improve our understanding of intergenerational processes in the future.

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  • Jan Stuhler, 2018. "A Review of Intergenerational Mobility and its Drivers," JRC Research Reports JRC112247, Joint Research Centre.
  • Handle: RePEc:ipt:iptwpa:jrc112247
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC112247
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    Cited by:

    1. Marie Connolly & Miles Corak & Catherine Haeck, 2019. "Intergenerational Mobility Between and Within Canada and the United States," Journal of Labor Economics, University of Chicago Press, vol. 37(S2), pages 595-641.
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    3. Jo Blanden & Matthias Doepke & Jan Stuhler, 2022. "Education inequality," CEP Discussion Papers dp1849, Centre for Economic Performance, LSE.
    4. Brunori, Paolo & Hufe, Paul & Mahler, Daniel Gerszon, 2021. "The Roots of Inequality: Estimating Inequality of Opportunity from Regression Trees and Forests," IZA Discussion Papers 14689, Institute of Labor Economics (IZA).
    5. Flaviana Palmisano & Federico Biagi & Vito Peragine, 2022. "Inequality of Opportunity in Tertiary Education: Evidence from Europe," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(3), pages 514-565, May.
    6. Bonacini, Luca & Gallo, Giovanni & Scicchitano, Sergio, 2021. "Sometimes you cannot make it on your own. How household background influences chances of success in Italy," GLO Discussion Paper Series 832, Global Labor Organization (GLO).
    7. Peter Levell & David Sturrock, 2023. "Using Understanding Society to study intergenerational wealth mobility in the UK," Fiscal Studies, John Wiley & Sons, vol. 44(4), pages 417-432, December.
    8. Ali Compaore & Roukiatou Nikièma & Rasmané Ouédraogo, 2021. "Foreign Aid and Intergenerational Mobility in Africa," Working Papers hal-03381658, HAL.
    9. Brea-Martinez, Gabriel, 2021. "The beneficial impact of mother’s work on children’s absolute income mobility, Southern Sweden (1947-2015)," SocArXiv c27s8, Center for Open Science.
    10. Neidhöfer, Guido & Ciaschi, Matías & Gasparini, Leonardo & Serrano, Joaquín, 2021. "Social mobility and economic development," ZEW Discussion Papers 21-087, ZEW - Leibniz Centre for European Economic Research.
    11. Flaviana Palmisano & Vito Peragine & Federico Biagi, 2019. "Inequality of opportunity in tertiary education in Europe," JRC Research Reports JRC118543, Joint Research Centre.
    12. Artur Pokropek & Patricia Costa & Sara Flisi & Federico Biagi, 2018. "Low achievers, teaching practices and learning environment," JRC Research Reports JRC113499, Joint Research Centre.
    13. Brunori, Paolo & Hufe, Paul & Mahler, Daniel, 2023. "The roots of inequality: estimating inequality of opportunity from regression trees and forests," LSE Research Online Documents on Economics 118220, London School of Economics and Political Science, LSE Library.

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