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Geographic Effects on Intergenerational Income Mobility

Author

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  • Jonathan Rothwell
  • Douglas Massey

Abstract

Research on intergenerational economic mobility often ignores the geographic context of childhood, including neighborhood quality and local purchasing power. We hypothesize that individual variation in intergenerational mobility is partly attributable to regional and neighborhood conditions—most notably access to high-quality schools. Using restricted Panel Study of Income Dynamics and census data, we find that neighborhood income has roughly half the effect on future earnings as parental income. We estimate that lifetime household income would be $635,000 dollars higher if people born into a bottom-quartile neighborhood would have been raised in a top-quartile neighborhood. When incomes are adjusted to regional purchasing power, these effects become even larger. The neighborhood effect is two-thirds as large as the parental income effect, and the lifetime earnings difference increases to $910,000. We test the robustness of these findings to various assumptions and alternative models, and replicate the basic results using aggregated metropolitan-level statistics of intergenerational income elasticities based on millions of Internal Revenue Service records.

Suggested Citation

  • Jonathan Rothwell & Douglas Massey, 2015. "Geographic Effects on Intergenerational Income Mobility," Economic Geography, Taylor & Francis Journals, vol. 91(1), pages 83-106, January.
  • Handle: RePEc:taf:recgxx:v:91:y:2015:i:1:p:83-106
    DOI: 10.1111/ecge.12072
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    Cited by:

    1. Yacine Boujija & Marie Connolly & Xavier St-Denis, 2023. "Take the train and climb the social ladder: The role of geographical mobility in the fight against inequality in Quebec," CIRANO Papers 2023pj-10, CIRANO.
    2. Rodger Barros Antunes Campos & Gustavo Pereira Serra, 2020. "The decision on unconstitutionality of earmarking and its impact on the housing access: Evidence from São Paulo State, Brazil," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(1), pages 25-42, February.
    3. José Lobo & Charlotta Mellander, 2020. "Let’s stick together: Labor market effects from immigrant neighborhood clustering," Environment and Planning A, , vol. 52(5), pages 953-980, August.
    4. Maria Berrittella, 2023. "Socioeconomic effects and the role of public spending decomposition on income mobility: a moderated regression model," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 187-210, February.
    5. Tharcisio Leone, 2022. "The geography of intergenerational mobility: Evidence of educational persistence and the “Great Gatsby Curve” in Brazil," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1227-1251, August.
    6. Lobo, José & Mellander, Charlotta, 2019. "Let’s Stick Together: Labor Market Effects from Immigrant Neighborhood Clustering," Working Paper Series in Economics and Institutions of Innovation 475, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    7. Rodger Campos & Joaquim Guilhoto, 2016. "The socioeconomic impacts of low income housing programs in São Paulo state, Brazil," ERSA conference papers ersa16p700, European Regional Science Association.
    8. Radha Jagannathan & Louis Donnelly & Sara McLanahan & Michael J. Camasso & Yu Yang, 2023. "Growing up poor but doing well: Contextual factors that predict academic success," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(1), pages 169-200, March.
    9. Dylan Shane Connor & Michael Storper, 2020. "The changing geography of social mobility in the United States," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(48), pages 30309-30317, December.
    10. Tharcisio Leone, 2019. "The Geography of Intergenerational Mobility: Evidence of Educational Persistence and the “Great Gatsby Curve" in Brazil," Documentos de Trabajo 17526, The Latin American and Caribbean Economic Association (LACEA).
    11. Francisco Azpitarte & Olga Alonso-Villar & Felipe Hugo-Rojas, 2019. "On the Changing Spatial Distribution of Human Capital and Occupation Groups: An Analysis of Recent Trends in Australia’s Main Capital Cities," Working Papers 1903, Universidade de Vigo, Departamento de Economía Aplicada.
    12. Yacine Boujija & Marie Connolly & Xavier St-Denis, 2023. "Mobilité géographique et transmission intergénérationnelle du revenu au Québec," CIRANO Project Reports 2023rp-11, CIRANO.
    13. Loss, Georg & Naicker, Sara & Richter, Linda & Fink, Günther, 2024. "Early life determinants of social disparities among young adults: A longitudinal study in vulnerable communities in South Africa," World Development, Elsevier, vol. 175(C).
    14. Rodger Barros Antunes Campos, 2016. "The Socioeconomic Impacts of Low Income Housing Programs in São Paulo State, Brazil," Working Papers, Department of Economics 2016_21, University of São Paulo (FEA-USP).
    15. Leone, Tharcisio, 2019. "The geography of intergenerational mobility: Evidence of educational persistence and the "Great Gatsby Curve" in Brazil," GIGA Working Papers 318, GIGA German Institute of Global and Area Studies.
    16. Dylan S Connor & Aleksander K BergArizona & Tom Kemeny & Peter J Kedron, 2024. "Who gets left behind by left behind places?," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 17(1), pages 37-58.
    17. Mccoy, Daire & Kotsch, Raphaela A., 2021. "Quantifying the distributional impact of energy efficiency measures," LSE Research Online Documents on Economics 107933, London School of Economics and Political Science, LSE Library.

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