IDEAS home Printed from https://ideas.repec.org/a/eee/jeborg/v208y2023icp140-155.html
   My bibliography  Save this article

The effects of emergency government cash transfers on beliefs and behaviours during the COVID pandemic: Evidence from Brazil

Author

Listed:
  • de Leon, Fernanda L. Lopez
  • Malde, Bansi
  • McQuillin, Ben

Abstract

This paper examines the impacts of emergency cash-transfers on individuals’ social distancing behaviour and beliefs about COVID-19. We focus on the impacts of “Auxilio Emergencial” (AE): a large-scale cash-transfer in Brazil targeting low-income individuals who were unemployed or informally employed during the pandemic. To identify causal effects we exploit exogenous variation, arising from the AE design, in individuals’ access to the cash-transfer programme. Using data from an online survey, our results suggest that eligibility to the emergency cash transfer led to a reduced likelihood of individuals contracting COVID-19, likely to have been driven by a reduction in working hours. Moreover, the cash transfer seems to have increased perceptions about the seriousness of coronavirus, while also exacerbating misconceptions about the pandemic. These findings indicate effects of emergency cash-transfers in determining individuals’ narratives about a pandemic, in enabling social distancing and potentially in reducing the spread of the disease.

Suggested Citation

  • de Leon, Fernanda L. Lopez & Malde, Bansi & McQuillin, Ben, 2023. "The effects of emergency government cash transfers on beliefs and behaviours during the COVID pandemic: Evidence from Brazil," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 140-155.
  • Handle: RePEc:eee:jeborg:v:208:y:2023:i:c:p:140-155
    DOI: 10.1016/j.jebo.2023.01.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167268123000070
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jebo.2023.01.006?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anderson, Michael L, 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt15n8j26f, Department of Agricultural & Resource Economics, UC Berkeley.
    2. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2020. "Simple Local Polynomial Density Estimators," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1449-1455, July.
    3. Bottan, Nicolas & Hoffmann, Bridget & Vera-Cossio, Diego A., 2021. "Stepping up during a crisis: The unintended effects of a noncontributory pension program during the Covid-19 pandemic," Journal of Development Economics, Elsevier, vol. 150(C).
    4. Dean Karlan & Matt Lowe & Robert Darko Osei & Isaac Osei-Akoto & Benjamin N. Roth & Christopher R. Udry, 2022. "Social Protection and Social Distancing During the Pandemic: Mobile Money Transfers in Ghana," NBER Working Papers 30309, National Bureau of Economic Research, Inc.
    5. Kibrom A. Abay & Guush Berhane & John Hoddinott & Kibrom Tafere, 2023. "COVID-19 and Food Security in Ethiopia: Do Social Protection Programs Protect?," Economic Development and Cultural Change, University of Chicago Press, vol. 71(2), pages 373-402.
    6. Marco Manacorda & Edward Miguel & Andrea Vigorito, 2011. "Government Transfers and Political Support," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 1-28, July.
    7. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    8. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2011. "Multivariate Matching Methods That Are Monotonic Imbalance Bounding," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 345-361.
    9. Brian Jacob & Natasha Pilkauskas & Elizabeth Rhodes & Katherine Richard & H. Luke Shaefer, 2022. "The COVID-19 cash transfer study II: The hardship and mental health impacts of an unconditional cash transfer to low-income individuals," National Tax Journal, University of Chicago Press, vol. 75(3), pages 597-625.
    10. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    11. Brooks, Wyatt & Donovan, Kevin & Johnson, Terence R. & Oluoch-Aridi, Jackline, 2022. "Cash transfers as a response to COVID-19: Experimental evidence from Kenya," Journal of Development Economics, Elsevier, vol. 158(C).
    12. Roland Bénabou & Jean Tirole, 2016. "Mindful Economics: The Production, Consumption, and Value of Beliefs," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 141-164, Summer.
    13. Mireille Razafindrakoto & François Roubaud & João Saboia & Marta Reis Castilho & Valeria Pero, 2022. "Municípios in the Time of Covid-19 in Brazil: Socioeconomic Vulnerabilities, Transmission Factors and Public Policies," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(6), pages 2730-2758, December.
    14. Alan de Brauw & Daniel O. Gilligan & John Hoddinott & Shalini Roy, 2015. "Bolsa Família and Household Labor Supply," Economic Development and Cultural Change, University of Chicago Press, vol. 63(3), pages 423-457.
    15. Bursztyn, Leonardo & Rao, Akaash & Roth, Christopher & Yanagizawa-Drott, David, 2020. "Misinformation during a Pandemic," The Warwick Economics Research Paper Series (TWERPS) 1274, University of Warwick, Department of Economics.
    16. Jonathan de Quidt & Johannes Haushofer & Christopher Roth, 2018. "Measuring and Bounding Experimenter Demand," American Economic Review, American Economic Association, vol. 108(11), pages 3266-3302, November.
    17. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2021. "Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 691-738, April.
    18. Abel, Martin & Byker, Tanya & Carpenter, Jeffrey, 2021. "Socially optimal mistakes? debiasing COVID-19 mortality risk perceptions and prosocial behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 456-480.
    19. Mummolo, Jonathan & Peterson, Erik, 2019. "Demand Effects in Survey Experiments: An Empirical Assessment," American Political Science Review, Cambridge University Press, vol. 113(2), pages 517-529, May.
    20. Belot, Michèle & Choi, Syngjoo & Jamison, Julian C. & Papageorge, Nicholas W. & Tripodi, Egon & van den Broek-Altenburg, Eline, 2020. "Six-Country Survey on COVID-19," IZA Discussion Papers 13230, Institute of Labor Economics (IZA).
    21. Michael M. Bechtel & Jens Hainmueller, 2011. "How Lasting Is Voter Gratitude? An Analysis of the Short‐ and Long‐Term Electoral Returns to Beneficial Policy," American Journal of Political Science, John Wiley & Sons, vol. 55(4), pages 852-868, October.
    22. Jesper Akesson & Sam Ashworth-Hayes & Robert Hahn & Robert Metcalfe & Itzhak Rasooly, 2022. "Fatalism, beliefs, and behaviors during the COVID-19 pandemic," Journal of Risk and Uncertainty, Springer, vol. 64(2), pages 147-190, April.
    23. Pedro Bordalo & Katherine B. Coffman & Nicola Gennaioli & Andrei Shleifer, 2020. "Older People are Less Pessimistic about the Health Risks of Covid-19," NBER Working Papers 27494, National Bureau of Economic Research, Inc.
    24. Cesar Zucco, 2013. "When Payouts Pay Off: Conditional Cash Transfers and Voting Behavior in Brazil 2002–10," American Journal of Political Science, John Wiley & Sons, vol. 57(4), pages 810-822, October.
    25. Painter, Marcus & Qiu, Tian, 2021. "Political beliefs affect compliance with government mandates," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 688-701.
    26. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
    27. Abhijit V. Banerjee & Rema Hanna & Gabriel E. Kreindler & Benjamin A. Olken, 2017. "Debunking the Stereotype of the Lazy Welfare Recipient: Evidence from Cash Transfer Programs," The World Bank Research Observer, World Bank, vol. 32(2), pages 155-184.
    28. Russell Golman & David Hagmann & George Loewenstein, 2017. "Information Avoidance," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 96-135, March.
    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. Mogge, Lukas & Roeckert, Julian & Krähnert, Kati, 2024. "Impacts of anticipatory cash transfers in the context of weather disasters," Ruhr Economic Papers 1065, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

    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. Sonja Settele & Cortnie Shupe, 2020. "Lives or Livelihoods? Perceived Tradeoffs and Public Demand for Non-Pharmaceutical Interventions," CEBI working paper series 20-17, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    2. Faia, Ester & Fuster, Andreas & Pezone, Vincenzo & Zafar, Basit, 2021. "Biases in information selection and processing: Survey evidence from the pandemic," SAFE Working Paper Series 307, Leibniz Institute for Financial Research SAFE.
    3. Momsen, Katharina & Ohndorf, Markus, 2023. "Information avoidance: Self-image concerns, inattention, and ideology," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 386-400.
    4. Fuest, Clemens & Immel, Lea & Neumeier, Florian & Peichl, Andreas, 2023. "Does expert information affect citizens’ attitudes toward Corona policies? Evidence from Germany," European Journal of Political Economy, Elsevier, vol. 78(C).
    5. Marco Di Cataldo & Elena Renzullo, 2024. "EU Money and Mayors: Does Cohesion Policy affect local electoral outcomes?," Working Papers 2024: 02, Department of Economics, University of Venice "Ca' Foscari".
    6. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2021. "Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 691-738, April.
    7. Sergei Guriev & Elias Papaioannou, 2022. "The Political Economy of Populism," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 753-832, September.
    8. Lergetporer, Philipp & Piopiunik, Marc & Simon, Lisa, 2021. "Does the education level of refugees affect natives’ attitudes?," European Economic Review, Elsevier, vol. 134(C).
    9. Bjorn Van Campenhout & David J. Spielman & Els Lecoutere, 2021. "Information and Communication Technologies to Provide Agricultural Advice to Smallholder Farmers: Experimental Evidence from Uganda," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 317-337, January.
    10. Harris, J. Andrew & van der Windt, Peter, 2023. "Empowering women or increasing response bias? Experimental evidence from Congo," Journal of Development Economics, Elsevier, vol. 164(C).
    11. Grimalda, Gianluca & Murtin, Fabrice & Pipke, David & Putterman, Louis & Sutter, Matthias, 2023. "The politicized pandemic: Ideological polarization and the behavioral response to COVID-19," European Economic Review, Elsevier, vol. 156(C).
    12. Lergetporer, Philipp & Werner, Katharina & Woessmann, Ludger, 2020. "Educational inequality and public policy preferences: Evidence from representative survey experiments," Journal of Public Economics, Elsevier, vol. 188(C).
    13. Alexis Grigorieff & Christopher Roth & Diego Ubfal, 2020. "Does Information Change Attitudes Toward Immigrants?," Demography, Springer;Population Association of America (PAA), vol. 57(3), pages 1117-1143, June.
    14. Ori Heffetz & Guy Ishai, 2021. "Which Beliefs? Behavior-Predictive Beliefs are Inconsistent with Information-Based Beliefs: Evidence from COVID-19," NBER Working Papers 29452, National Bureau of Economic Research, Inc.
    15. Lohmann, Paul M. & Gsottbauer, Elisabeth & You, Jing & Kontoleon, Andreas, 2023. "Anti-social behaviour and economic decision-making: Panel experimental evidence in the wake of COVID-19," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 136-171.
    16. Gutierrez, Emilio & Rubli, Adrian & Tavares, Tiago, 2022. "Information and behavioral responses during a pandemic: Evidence from delays in Covid-19 death reports," Journal of Development Economics, Elsevier, vol. 154(C).
    17. Lisa Simon, 2019. "Microeconometric Analyses on Determinants of Individual Labour Market Outcomes," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 83.
    18. Guglielmo Briscese & Maddalena Grignani & Stephen Stapleton, 2022. "Crises and Political Polarization: Towards a Better Understanding of the Timing and Impact of Shocks and Media," Papers 2202.12339, arXiv.org, revised Feb 2023.
    19. Lehmann, M. Christian & Matarazzo, Hellen, 2019. "Voters’ response to in-kind transfers: Quasi-experimental evidence from prescription drug cost-sharing in Brazil," Economics Letters, Elsevier, vol. 184(C).
    20. Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2023. "Designing Information Provision Experiments," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 3-40, March.

    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:eee:jeborg:v:208:y:2023:i:c:p:140-155. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jebo .

    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.