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So close yet so unequal: Neighborhood inequality in American cities

Author

Listed:
  • Francesco Andreoli

    (LISER)

  • Eugenio Peluso

    (University of Verona)

Abstract

This paper contributes to the literature on neighborhood inequality along both theoretical and empirical lines. We introduce a new neighborhood inequality index (NI) to measure income inequality within individual neighborhoods of varying sizes, and study its normative and statistical properties. The NI index is used in combination with a large database of income distributions defined on a fine-grained geographic scale to study neighborhood inequality in American cities over the last 35 years. Inequality within small individual neighborhoods is found to grow steadily over the period, albeit heterogeneously across cities. We investigate the intergenerational consequences of a rising NI index, exploiting labor market responses to minimum wage regulation as a source of identification. We find that lower neighborhood inequality during childhood makes income mobility for children with a disadvantaged parental background more likely.

Suggested Citation

  • Francesco Andreoli & Eugenio Peluso, 2018. "So close yet so unequal: Neighborhood inequality in American cities," Working Papers 477, ECINEQ, Society for the Study of Economic Inequality.
  • Handle: RePEc:inq:inqwps:ecineq2018-477
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    File URL: http://www.ecineq.org/milano/WP/ECINEQ2018-477.pdf
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    References listed on IDEAS

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    1. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1107-1162.
    2. R. Quandt, 1966. "Old and new methods of estimation and the pareto distribution," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 10(1), pages 55-82, December.
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    Cited by:

    1. Francesco Andreoli & Mauro Mussini & Vincenzo Prete, 2019. "Urban poverty: Theory and evidence from American cities," Working Papers 08/2019, University of Verona, Department of Economics.
    2. Francesco Andreoli & Eugenio Peluso, 2021. "Inference for the neighbourhood inequality index," Spatial Economic Analysis, Taylor & Francis Journals, vol. 16(3), pages 313-332, July.
    3. Francesco Andreoli & Mauro Mussini & Vincenzo Prete & Claudio Zoli, 2021. "Urban poverty: Measurement theory and evidence from American cities," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(4), pages 599-642, December.
    4. Francesco Andreoli & Arnaud Mertens & Mauro Mussini & Vincenzo Prete, 2022. "Understanding trends and drivers of urban poverty in American cities," Empirical Economics, Springer, vol. 63(3), pages 1663-1705, September.

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    More about this item

    Keywords

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    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

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