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Do government audits reduce dengue? Estimating the impact of federal monitoring lotteries program on dengue incidence

Author

Listed:
  • Gisléia Benini Duarte

    (Universidade Federal Rural de Pernambuco)

  • André de Souza Melo

    (Universidade Federal Rural de Pernambuco)

  • Diego Firmino Costa da Silva

    (Universidade Federal Rural de Pernambuco)

Abstract

The paper examines the relationship between the supervision carried out in the municipalities by the main Brazilan supervisory institution (Controladoria Geral da União—CGU, in portuguese) and the incidence of dengue cases in them. Since the audited municipalities were randomized, this allows the identification of a control group that adequately represents the counterfactual of the treated group. The sample was composed of all municipalities that could be selected for that CGU inspection cycle, that is, 1520 municipalities, of which 70 were drawn and therefore belong to the study treatment group. We identified a negative effect of the policy on the incidence of the disease. However, when we consider a model with lags, we note that this initial impact from the drawing did not persist throughout the year of the inspection. Our analysis suggests that when federal resources are monitored, municipalities reduce irregularities, which may contribute to a decrease in the number of dengue cases.

Suggested Citation

  • Gisléia Benini Duarte & André de Souza Melo & Diego Firmino Costa da Silva, 2019. "Do government audits reduce dengue? Estimating the impact of federal monitoring lotteries program on dengue incidence," International Journal of Health Economics and Management, Springer, vol. 19(3), pages 359-369, December.
    • Handle: RePEc:kap:ijhcfe:v:19:y:2019:i:3:d:10.1007_s10754-018-9259-7
    DOI: 10.1007/s10754-018-9259-7
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    References listed on IDEAS

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    1. Claudio Ferraz & Frederico Finan, 2008. "Exposing Corrupt Politicians: The Effects of Brazil's Publicly Released Audits on Electoral Outcomes," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(2), pages 703-745.
    2. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    3. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    4. Eric Avis & Claudio Ferraz & Frederico Finan & Carlos Varjão, "undated". "Money and Politics: The Effects of Campaign Spending Limits on Political Competition and Incumbency Advantage," Textos para discussão 656, Department of Economics PUC-Rio (Brazil).
    5. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
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    Cited by:

    1. Kendall D. Funk & Erica Owen, 2020. "Consequences of an Anti‐Corruption Experiment for Local Government Performance in Brazil," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 444-468, March.

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    More about this item

    Keywords

    Policy evaluation; Randomized; Audit; Dengue;
    All these keywords.

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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