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Do Slum Upgrading Programs Impact School Attendance?

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  • Zanoni, Wladimir
  • Acevedo, Paloma
  • Guerrero, Diego

Abstract

This paper analyzes how slum upgrading programs impact elementary school childrens attendance in Uruguay. We take advantage of the eligibility rule that deems slums eligible for a SUP program if they have 40 or more dwelling units. Using a fuzzy regression discontinuity estimator, we find that students exposed to SUPs are 17 percent less likely to be at the 90th percentile of the yearly count of school absences. That effect appears to be driven by how SUPs impact girls. These interventions have effects that last for more than five years after their implementation. We discuss some critical urban and education policy implications of our findings.

Suggested Citation

  • Zanoni, Wladimir & Acevedo, Paloma & Guerrero, Diego, 2021. "Do Slum Upgrading Programs Impact School Attendance?," IDB Publications (Working Papers) 11696, Inter-American Development Bank.
    • Handle: RePEc:idb:brikps:11696
    DOI: http://dx.doi.org/10.18235/0003710
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    1. Heckman, James J. & Kautz, Tim, 2012. "Hard evidence on soft skills," Labour Economics, Elsevier, vol. 19(4), pages 451-464.
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    Cited by:

    1. Peiyu Zhao & Jiajun Xu, 2024. "Analysis of Residents’ Livelihoods in Transformed Shantytowns: A Case Study of a Resource-Based City in China," Sustainability, MDPI, vol. 16(4), pages 1-25, February.

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    More about this item

    Keywords

    Slum Upgrading; school absences; regression discontinuity;
    All these keywords.

    JEL classification:

    • B20 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - General
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

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