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Long-Term Contextual Effects in Education: Schools and Neighborhoods

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  • Jean-William Laliberté

Abstract

This paper estimates the long-term impact of growing up in better neighborhoods and attending better schools on educational attainment. First, I use a spatial regression-discontinuity design to estimate school effects. Second, I study students who move across neighborhoods in Montreal during childhood to estimate the causal effect of growing up in a better area (total exposure effects). I find large effects for both dimensions. Combining both research designs in a decomposition framework, and under key assumptions, I estimate that 50–70 percent of the benefits of moving to a better area on educational attainment are due to access to better schools.

Suggested Citation

  • Jean-William Laliberté, 2021. "Long-Term Contextual Effects in Education: Schools and Neighborhoods," American Economic Journal: Economic Policy, American Economic Association, vol. 13(2), pages 336-377, May.
    • Handle: RePEc:aea:aejpol:v:13:y:2021:i:2:p:336-77
    DOI: 10.1257/pol.20190257
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    References listed on IDEAS

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    3. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    4. Yingying Dong & Arthur Lewbel, 2015. "Identifying the Effect of Changing the Policy Threshold in Regression Discontinuity Models," The Review of Economics and Statistics, MIT Press, vol. 97(5), pages 1081-1092, December.
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    More about this item

    JEL classification:

    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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