IDEAS home Printed from https://ideas.repec.org/p/idb/brikps/12332.html
   My bibliography  Save this paper

Access to water and COVID-19: a regression discontinuity analysis for the peri-urban areas of Metropolitan Lima, Peru

Author

Listed:
  • Gómez-Lobo, Andrés
  • Gutiérrez, Mauro
  • Huamaní, Sandro
  • Marino, Diego
  • Serebrisky, Tomás
  • Solís, Ben

Abstract

This paper presents the results of a quasi-experimental study for which information was collected through a survey conducted in peri-urban areas of Metropolitan Lima between October and November 2021. The survey was conducted on households residing near and on both sides of the border of coverage of the public water network. Our work finds that access to networked water was associated with a reduction in the probability of infection by COVID-19. Likewise, an extension to the model, using heterogeneous effects, suggests that it is not enough for a home to be connected to the network, but that a minimum amount of consumption must also be guaranteed. The results should be interpreted taking into consideration the limitations in the information. These results highlight the need for investment in infrastructure to close access gaps, and the importance of ensuring quality and affordable services for the population.

Suggested Citation

  • Gómez-Lobo, Andrés & Gutiérrez, Mauro & Huamaní, Sandro & Marino, Diego & Serebrisky, Tomás & Solís, Ben, 2022. "Access to water and COVID-19: a regression discontinuity analysis for the peri-urban areas of Metropolitan Lima, Peru," IDB Publications (Working Papers) 12332, Inter-American Development Bank.
  • Handle: RePEc:idb:brikps:12332
    DOI: http://dx.doi.org/10.18235/0004369
    as

    Download full text from publisher

    File URL: https://publications.iadb.org/publications/english/document/Access-to-water-and-COVID-19-a-regression-discontinuity-analysis-for-the-peri-urban-areas-of-Metropolitan-Lima-Peru.pdf
    Download Restriction: no

    File URL: https://libkey.io/http://dx.doi.org/10.18235/0004369?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Clouston, Sean A.P. & Natale, Ginny & Link, Bruce G., 2021. "Socioeconomic inequalities in the spread of coronavirus-19 in the United States: A examination of the emergence of social inequalities," Social Science & Medicine, Elsevier, vol. 268(C).
    2. Chauvin, Juan Pablo, 2021. "Why Does COVID-19 Affect Some Cities More than Others?: Evidence from the First Year of the Pandemic in Brazil," IDB Publications (Working Papers) 11536, Inter-American Development Bank.
    3. Marc Marí-Dell’Olmo & Mercè Gotsens & M Isabel Pasarín & Maica Rodríguez-Sanz & Lucía Artazcoz & Patricia Garcia de Olalla & Cristina Rius & Carme Borrell, 2021. "Socioeconomic Inequalities in COVID-19 in a European Urban Area: Two Waves, Two Patterns," IJERPH, MDPI, vol. 18(3), pages 1-12, January.
    4. William Greene, 2006. "A General Approach to Incorporating Selectivity in a Model," Working Papers 06-10, New York University, Leonard N. Stern School of Business, Department of Economics.
    5. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    6. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    7. Jeffrey E. Harris, 2020. "The Subways Seeded the Massive Coronavirus Epidemic in New York City," NBER Working Papers 27021, National Bureau of Economic Research, Inc.
    8. Heyuan You & Xin Wu & Xuxu Guo, 2020. "Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development," IJERPH, MDPI, vol. 17(10), pages 1-14, May.
    9. Andrew C Stokes & Dielle J Lundberg & Irma T Elo & Katherine Hempstead & Jacob Bor & Samuel H Preston, 2021. "COVID-19 and excess mortality in the United States: A county-level analysis," PLOS Medicine, Public Library of Science, vol. 18(5), pages 1-18, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Francisco B. Galarza Arellano & Max Carbajal & Julio Aguirre, 2024. "Willingness to pay for improved water services: evidence from Peru," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 26(3), pages 503-539, July.

    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. Vergolini, Loris & Zanini, Nadir, 2015. "Away, but not too far from home. The effects of financial aid on university enrolment decisions," Economics of Education Review, Elsevier, vol. 49(C), pages 91-109.
    2. Yu, Zeng, 2024. "Essays on incentive contract and corporate finance," Other publications TiSEM 6f66f49e-d710-44f6-943d-9, Tilburg University, School of Economics and Management.
    3. Zhang, Rong & Inder, Brett A. & Zhang, Xibin, 2015. "Bayesian estimation of a discrete response model with double rules of sample selection," Computational Statistics & Data Analysis, Elsevier, vol. 86(C), pages 81-96.
    4. Ha Trong Nguyen & Huong Thu Le & Luke B Connelly, 2021. "Who's declining the “free lunch”? New evidence from the uptake of public child dental benefits," Health Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 270-288, February.
    5. Jorge Garcia Hombrados, 2018. "Empirical essays on development economics," Economics PhD Theses 0318, Department of Economics, University of Sussex Business School.
    6. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    7. Yu, Ping & Phillips, Peter C.B., 2018. "Threshold regression with endogeneity," Journal of Econometrics, Elsevier, vol. 203(1), pages 50-68.
    8. Sara Amoroso & Simone Vannuccini, 2019. "Teaming up with Large R&D Investors: Good or Bad for Knowledge Production and Diffusion?," SPRU Working Paper Series 2019-20, SPRU - Science Policy Research Unit, University of Sussex Business School.
    9. Loris Vergolini & Nadir Zanini, 2012. "How does aid matter? The effect of financial aid on university enrolment decisions," Working Papers 2012/7, Institut d'Economia de Barcelona (IEB).
    10. Begin, Rosemarie & Tamini, Lota D. & Doyon, Maurice, 2014. "L'effet du travail hors-ferme sur l'efficacité technique des fermes laitières québécoises: un modèle intégrant les biais de sélection sur les observables et inobservables," Working Papers 187233, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    11. Heléne Lundqvist, 2013. "Is it worth it? On the returns to holding political office," Working Papers 2013/14, Institut d'Economia de Barcelona (IEB).
    12. Nicholas Barton & Tessa Bold & Justin Sandefur, 2017. "Measuring Rents from Public Employment: Regression Discontinuity Evidence from Kenya - Working Paper 457," Working Papers 457, Center for Global Development.
    13. Vicente Cuñat & Mireia Giné & Maria Guadalupe, 2020. "Price and Probability: Decomposing the Takeover Effects of Anti‐Takeover Provisions," Journal of Finance, American Finance Association, vol. 75(5), pages 2591-2629, October.
    14. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert J. & Smith, Jeffrey A. & Taylor, Evan J., 2015. "Simple Tests for Selection Bias: Learning More from Instrumental Variables," IZA Discussion Papers 9346, Institute of Labor Economics (IZA).
    15. Ahn, Jae Hwan & Choi, Sunhwa & Kim, Gi H. & Kwon, Sewon, 2024. "Bonus incentives and losses from early debt extinguishment," International Review of Financial Analysis, Elsevier, vol. 91(C).
    16. Bold, Tessa & Barton, Nicholas & Sandefur, Justin, 2017. "Measuring Rents from Public Employment: Regression discontinuity evidence from Kenya," CEPR Discussion Papers 12105, C.E.P.R. Discussion Papers.
    17. Peter M. Steiner, 2011. "Propensity Score Methods for Causal Inference: On the Relative Importance of Covariate Selection, Reliable Measurement, and Choice of Propensity Score Technique," Working Papers 09, AlmaLaurea Inter-University Consortium.
    18. Lebeta, Temesgen Hirko, 2017. "Participation In And Impact Of Small-Scale Irrigation Practice On Household Income: The Case Of Abay Chomen District Of Oromia National Regional State, Ethiopia," Research Theses 276456, Collaborative Masters Program in Agricultural and Applied Economics.
    19. Fich, Eliezer M. & Harford, Jarrad & Tran, Anh L., 2015. "Motivated monitors: The importance of institutional investors׳ portfolio weights," Journal of Financial Economics, Elsevier, vol. 118(1), pages 21-48.
    20. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert & Smith, Jeffrey A. & Taylor, Evan J., 2022. "Simple Tests for Selection: Learning More from Instrumental Variables," Labour Economics, Elsevier, vol. 79(C).

    More about this item

    Keywords

    water; COVID-19; health; regression discontinuity; Lima; Peru;
    All these keywords.

    JEL classification:

    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:idb:brikps:12332. 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: Felipe Herrera Library (email available below). General contact details of provider: https://edirc.repec.org/data/iadbbus.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.