EFFECT OF HOUSING ON INFANT MORTALITY: EVIDENCE OF A REGRESSION DISCONTINUITY DESIGN

Authors

  • Fábio Nishimura Universidade Federal de Rondonópolis (UFR), Faculdade de Ciências Aplicadas e Políticas (FACAP), Curso de Ciências Econômicas. Rondonópolis, Mato Grosso, Brasil. Universidade Federal de Mato Grosso (UFMT), Faculdade de Economia (FE), Programa de Pós-Graduação em Economia (PPGEco). Cuiabá, Mato Grosso, Brasil. http://orcid.org/0000-0003-4370-0798

    DOI:

    https://doi.org/10.22456/2176-5456.81890

    Keywords:

    Residential leasing program, Child mortality, Regression Discontinuity Design

    Abstract

    In 2001, the Federal Government created the Residential Leasing Program
    (RLP), which included 340 of the 5,570 municipalities that have at least 100,000 inhabitants
    with the priority to reduce the housing deficit. Theoretical studies in housing and
    health indicate that actions related to the construction quality of housing for the population,
    and reduce part of the housing deficit also promote a reduction in infant mortality.
    However, some of these theoretical studies are lacking in a more rigorous statistical instrument
    and which are statistically more consistent results. The present study examined
    the effect of RLP on infant mortality and how empirical strategy was used the regression
    discontinuity design model controlling for possible endogeneity problems and ensures
    statistically biased answers. The results showed that the RLP can reduce child deaths in
    the year of its inception as well as for the subsequent three years. Still, to ensure our results,
    robustness tests were applied which signaled that our model is well specified.

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    Published

    2020-06-27

    How to Cite

    Nishimura, F. (2020). EFFECT OF HOUSING ON INFANT MORTALITY: EVIDENCE OF A REGRESSION DISCONTINUITY DESIGN. Análise Econômica, 38(76). https://doi.org/10.22456/2176-5456.81890

    Issue

    Vol. 38 No. 76 (2020): Junho/2020

    Section

    Artigos

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