IDEAS home Printed from https://ideas.repec.org/p/pen/papers/25-015.html
   My bibliography  Save this paper

Risk compensation among men in Zambia’s national program of voluntary medical male circumcision

Author

Listed:
  • Nicolas Grau

    (Ministry, Government of Chile)

  • Paul Hewett

    (U.S. NationalInstitutes of Health Center for Scientific Review)

  • Shreemayi Samujjwala

    (University of Pennsylvania)

  • Petra E. Todd

    (University of Pennsylvania)

Abstract

After initial RCTs demonstrated the effectiveness of voluntary medical male circumcision (VMMC) in reducing HIV transmission, 14 eastern and southern African countries implemented VMMC programs on a broad scale. Zambia was one of the first countries to adopt VMMC as part of its HIV prevention strategy. However, the demand for VMMC fell short of initial projections and there were also concerns that men may have increased their risky sexual behaviors after getting the procedure, offsetting the HIV risk reduction benefits. This paper uses a new longitudinal dataset for Zambia to investigate the determinants of VMMC demand and to test for risk compensation in the context of Zambia’s largescale VMMC implementation. The results show that most men understand VMMC benefits but express concerns about potential discomfort and missing work. Also, VMMC demand depends significantly on clinic proximity. Using six different measures of risky behavior and a variety of econometric panel data estimators, including ones that allow for unobserved heterogeneity and endogeneity, we find robust evidence that men who obtain VMMC do not increase risky behavior.

Suggested Citation

  • Nicolas Grau & Paul Hewett & Shreemayi Samujjwala & Petra E. Todd, 2025. "Risk compensation among men in Zambia’s national program of voluntary medical male circumcision," PIER Working Paper Archive 25-015, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  • Handle: RePEc:pen:papers:25-015
    as

    Download full text from publisher

    File URL: https://economics.sas.upenn.edu/system/files/working-papers/25-015%20PIER%20Paper%20Submission.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Magne Mogstad & Andres Santos & Alexander Torgovitsky, 2018. "Using Instrumental Variables for Inference About Policy Relevant Treatment Parameters," Econometrica, Econometric Society, vol. 86(5), pages 1589-1619, September.
    2. repec:plo:pmed00:0020298 is not listed on IDEAS
    3. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    4. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    5. Jobiba Chinkhumba & Susan Godlonton & Rebecca Thornton, 2014. "The Demand for Medical Male Circumcision," American Economic Journal: Applied Economics, American Economic Association, vol. 6(2), pages 152-177, April.
    6. Peltzman, Sam, 1975. "The Effects of Automobile Safety Regulation," Journal of Political Economy, University of Chicago Press, vol. 83(4), pages 677-725, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Timothy B. Armstrong & Michal Kolesár, 2021. "Sensitivity analysis using approximate moment condition models," Quantitative Economics, Econometric Society, vol. 12(1), pages 77-108, January.
    2. Ivan A Canay & Magne Mogstad & Jack Mount, 2024. "On the Use of Outcome Tests for Detecting Bias in Decision Making," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(4), pages 2135-2167.
    3. Moffitt, Robert A. & Zahn, Matthew V., 2022. "The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation," Economics Working Paper Archive 66674, The Johns Hopkins University,Department of Economics.
    4. Pereda-Fernández, Santiago, 2023. "Identification and estimation of triangular models with a binary treatment," Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
    5. Yu-Chang Chen & Haitian Xie, 2022. "Personalized Subsidy Rules," Papers 2202.13545, arXiv.org, revised Mar 2022.
    6. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
    7. Luther Yap, 2022. "Sensitivity of Policy Relevant Treatment Parameters to Violations of Monotonicity," Working Papers 655, Princeton University, Department of Economics, Industrial Relations Section..
    8. Opper, Isaac M., 2024. "From LATE to ATE: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 246(1).
    9. Molinari, Francesca, 2020. "Microeconometrics with partial identification," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 355-486, Elsevier.
    10. Songnian Chen & Shakeeb Khan & Xun Tang, 2022. "Endogeneity in Weakly Separable Models without Monotonicity," Papers 2208.05047, arXiv.org.
    11. Goff, Leonard, 2024. "A vector monotonicity assumption for multiple instruments," Journal of Econometrics, Elsevier, vol. 241(1).
    12. Manu Navjeevan & Rodrigo Pinto & Andres Santos, 2023. "Identification and Estimation in a Class of Potential Outcomes Models," Papers 2310.05311, arXiv.org.
    13. Hollenbach, Johannes & Schmitz, Hendrik & Westphal, Matthias, 2024. "Gene-environment interactions with essential heterogeneity," Ruhr Economic Papers 1105, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    14. Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vitor, 2023. "Identifying marginal treatment effects in the presence of sample selection," Journal of Econometrics, Elsevier, vol. 234(2), pages 565-584.
    15. Emilio Borghesan & Hugo Reis & Petra E. Todd, 2022. "Learning Through Repetition? A Dynamic Evaluation of Grade Retention in Portugal," PIER Working Paper Archive 22-030, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    16. Thomas Carr & Toru Kitagawa, 2021. "Testing Instrument Validity with Covariates," Papers 2112.08092, arXiv.org, revised Sep 2023.
    17. Robert A. Moffitt & Matthew V. Zahn, 2019. "A Model of the Marginal Labor Supply Response to Transfer Programs, with a Historical Illustration," NBER Working Papers 26028, National Bureau of Economic Research, Inc.
    18. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    19. Zeyang Yu, 2024. "A Binary IV Model for Persuasion: Profiling Persuasion Types among Compliers," Papers 2411.16906, arXiv.org, revised Jul 2025.
    20. Leonard Goff, 2024. "When does IV identification not restrict outcomes?," Papers 2406.02835, arXiv.org, revised Feb 2025.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pen:papers:25-015. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Administrator (email available below). General contact details of provider: https://edirc.repec.org/data/deupaus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.