IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0296299.html
   My bibliography  Save this article

Are non-fungible payments attractive when they reduce risk exposure? Evidence from Colombia

Author

Listed:
  • Alexander Cano
  • Darwin Cortés
  • César Mantilla
  • Laura Prada
  • Medardo Restrepo

Abstract

We conducted a lab-in-the-field experiment in which 214 Colombian rural workers must choose between cash or voucher payment for completing a real effort task. Although the voucher may be perceived as non-fungible, it halves the probability of suffering a negative shock that will reduce the participant’s payment by two-thirds. Participants made four decisions in which we vary the voucher values such that this payment method offers, in expectation, between 88% to 123% of the cash payment (fixed across decisions). We find that uptake rates go from 32% to 56%, from the least to the most generous voucher. These rates are consistently larger compared to a reference sample of undergrad students from the same region (p–values from the χ2 tests for all four decisions fall below 0.035). Our between-subjects variations reveal that presenting the vouchers in descending order yields a higher uptake than the ascending order (p

Suggested Citation

  • Alexander Cano & Darwin Cortés & César Mantilla & Laura Prada & Medardo Restrepo, 2024. "Are non-fungible payments attractive when they reduce risk exposure? Evidence from Colombia," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-21, January.
  • Handle: RePEc:plo:pone00:0296299
    DOI: 10.1371/journal.pone.0296299
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0296299
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0296299&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0296299?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
    ---><---

    References listed on IDEAS

    as
    1. Harold Alderman & John Hoddinott & Bill Kinsey, 2006. "Long term consequences of early childhood malnutrition," Oxford Economic Papers, Oxford University Press, vol. 58(3), pages 450-474, July.
    2. Dupas, Pascaline & Robinson, Jonathan & Saavedra, Santiago, 2020. "The daily grind: Cash needs and labor supply," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 399-414.
    3. Seim, Brigitte & Jablonski, Ryan & Ahlbäck, Johan, 2020. "How information about foreign aid affects public spending decisions: Evidence from a field experiment in Malawi," Journal of Development Economics, Elsevier, vol. 146(C).
    4. Jesse M. Shapiro, 2013. "Fungibility and Consumer Choice: Evidence from Commodity Price Shocks," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1449-1498.
    5. Seim, Brigitte & Jablonski, Ryan S. & Ahlback, Johan, 2020. "How information about foreign aid affects public spending decisions: evidence from a field experiment in Malawi," LSE Research Online Documents on Economics 105255, London School of Economics and Political Science, LSE Library.
    6. Charness, Gary & Viceisza, Angelino, 2016. "Three Risk-elicitation Methods in the Field - Evidence from Rural Senegal," Review of Behavioral Economics, now publishers, vol. 3(2), pages 145-171, July.
    7. Barrett, Christopher B., 2008. "Smallholder market participation: Concepts and evidence from eastern and southern Africa," Food Policy, Elsevier, vol. 33(4), pages 299-317, August.
    8. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    9. Orazio Attanasio & Abigail Barr & Juan Camilo Cardenas & Garance Genicot & Costas Meghir, 2012. "Risk Pooling, Risk Preferences, and Social Networks," American Economic Journal: Applied Economics, American Economic Association, vol. 4(2), pages 134-167, April.
    10. Pamela Jakiela & Owen Ozier, 2016. "Does Africa Need a Rotten Kin Theorem? Experimental Evidence from Village Economies," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(1), pages 231-268.
    11. Clist, Paul & D’Exelle, Ben & Verschoor, Arjan, 2021. "An endowment effect for risk levels: Evidence from a Ugandan lab," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 297-310.
    12. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    13. Melesse, Mequanint B. & Cecchi, Francesco, 2017. "Does Market Experience Attenuate Risk Aversion? Evidence from Landed Farm Households in Ethiopia," World Development, Elsevier, vol. 98(C), pages 447-466.
    14. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    15. Johannes Abeler & Felix Marklein, 2017. "Fungibility, Labels, and Consumption," Journal of the European Economic Association, European Economic Association, vol. 15(1), pages 99-127.
    16. Sutter, Matthias & Weck-Hannemann, Hannelore, 2003. "Taxation and the Veil of Ignorance--A Real Effort Experiment on the Laffer Curve," Public Choice, Springer, vol. 115(1-2), pages 217-240, April.
    17. Quang Nguyen & Colin Camerer & Tomomi Tanaka, 2010. "Risk and Time Preferences Linking Experimental and Household Data from Vietnam," Post-Print halshs-00547090, HAL.
    18. Charles Sprenger, 2015. "An Endowment Effect for Risk: Experimental Tests of Stochastic Reference Points," Journal of Political Economy, University of Chicago Press, vol. 123(6), pages 1456-1499.
    19. Daniel Kahneman & Jack L. Knetsch & Richard H. Thaler, 1991. "Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 193-206, Winter.
    20. Reardon, Thomas & Barrett, Christopher B. & Berdegué, Julio A. & Swinnen, Johan F.M., 2009. "Agrifood Industry Transformation and Small Farmers in Developing Countries," World Development, Elsevier, vol. 37(11), pages 1717-1727, November.
    21. Berber Kramer & David Kunst, 2020. "Intertemporal Choice and Income Regularity: Non-Fungibility in the Timing of Income among Kenyan Farmers," Journal of Development Studies, Taylor & Francis Journals, vol. 56(5), pages 1048-1064, May.
    22. Marc Oliver Rieger & Mei Wang & Thorsten Hens, 2015. "Risk Preferences Around the World," Management Science, INFORMS, vol. 61(3), pages 637-648, March.
    23. Günther Fink & B. Kelsey Jack & Felix Masiye, 2020. "Seasonal Liquidity, Rural Labor Markets, and Agricultural Production," American Economic Review, American Economic Association, vol. 110(11), pages 3351-3392, November.
    24. Alma Cohen & Liran Einav, 2003. "The Effects of Mandatory Seat Belt Laws on Driving Behavior and Traffic Fatalities," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 828-843, November.
    25. Feyisa, Ashenafi Duguma & Maertens, Miet & de Mey, Yann, 2023. "Relating risk preferences and risk perceptions over different agricultural risk domains: Insights from Ethiopia," World Development, Elsevier, vol. 162(C).
    26. Evans, William N & Graham, John D, 1991. "Risk Reduction or Risk Compensation? The Case of Mandatory Safety-Belt Use Laws," Journal of Risk and Uncertainty, Springer, vol. 4(1), pages 61-73, January.
    27. Chetan Dave & Catherine Eckel & Cathleen Johnson & Christian Rojas, 2010. "Eliciting risk preferences: When is simple better?," Journal of Risk and Uncertainty, Springer, vol. 41(3), pages 219-243, December.
    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. repec:osf:osfxxx:8ft4e_v1 is not listed on IDEAS
    2. Ihli, Hanna Julia & Chiputwa, Brian & Musshoff, Oliver, 2016. "Do Changing Probabilities or Payoffs in Lottery-Choice Experiments Affect Risk Preference Outcomes? Evidence from Rural Uganda," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    3. Verschoor, Arjan & D’Exelle, Ben & Perez-Viana, Borja, 2016. "Lab and life: Does risky choice behaviour observed in experiments reflect that in the real world?," Journal of Economic Behavior & Organization, Elsevier, vol. 128(C), pages 134-148.
    4. Tamás Csermely & Alexander Rabas, 2016. "How to reveal people’s preferences: Comparing time consistency and predictive power of multiple price list risk elicitation methods," Journal of Risk and Uncertainty, Springer, vol. 53(2), pages 107-136, December.
    5. Bruns, Selina JK & Hermann, Daniel & Musshoff, Oliver, 2022. "Is gamification a curse or blessing for the design of risk elicitation methods in the field? Experimental evidence from Cambodian smallholder farmers," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322263, Agricultural and Applied Economics Association.
    6. Di Falco, Salvatore & Berck, Peter & Bezabih, Mintewab & Köhlin, Gunnar, 2019. "Rain and impatience: Evidence from rural Ethiopia," Journal of Economic Behavior & Organization, Elsevier, vol. 160(C), pages 40-51.
    7. Ranganathan, Kavitha & Lejarraga, Tomás, 2021. "Elicitation of risk preferences through satisficing," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    8. Jonathan Chapman & Erik Snowberg & Stephanie Wang & Colin Camerer, 2018. "Loss Attitudes in the U.S. Population: Evidence from Dynamically Optimized Sequential Experimentation (DOSE)," NBER Working Papers 25072, National Bureau of Economic Research, Inc.
    9. Julia Ihli, Hanna & Chiputwa, Brian & Winter, Etti & Gassner, Anja, 2022. "Risk and time preferences for participating in forest landscape restoration: The case of coffee farmers in Uganda," World Development, Elsevier, vol. 150(C).
    10. Eriksen, Kristoffer W. & Kvaløy, Ola & Luzuriaga, Miguel, 2020. "Risk-taking on behalf of others," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    11. Pace, Noemi & Daidone, Silvio, 2024. "Impact of development interventions on individual risk preferences: Evidence from a field-lab experiment and survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 111(C).
    12. Holzmeister, Felix & Stefan, Matthias, 2019. "The Risk Elicitation Puzzle Revisited: Across-Methods (In)consistency?," OSF Preprints pj9u2, Center for Open Science.
    13. Lönnqvist, Jan-Erik & Verkasalo, Markku & Walkowitz, Gari & Wichardt, Philipp C., 2015. "Measuring individual risk attitudes in the lab: Task or ask? An empirical comparison," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 254-266.
    14. Joshua Tasoff & Wenjie Zhang, 2022. "The Performance of Time-Preference and Risk-Preference Measures in Surveys," Management Science, INFORMS, vol. 68(2), pages 1149-1173, February.
    15. Jiakun Zheng & Ling Zhou, 2025. "Too risky to hedge: An experiment on narrow bracketing," Post-Print hal-05063379, HAL.
    16. Bartczak, Anna & Chilton, Susan & Meyerhoff, Jürgen, 2015. "Wildfires in Poland: The impact of risk preferences and loss aversion on environmental choices," Ecological Economics, Elsevier, vol. 116(C), pages 300-309.
    17. Felix Holzmeister & Matthias Stefan, 2019. "The risk elicitation puzzle revisited: Across-methods (in)consistency?," Working Papers 2019-19, Faculty of Economics and Statistics, Universität Innsbruck.
    18. Mary Riddel, 2012. "Comparing risk preferences over financial and environmental lotteries," Journal of Risk and Uncertainty, Springer, vol. 45(2), pages 135-157, October.
    19. Menkhoff, Lukas & Sakha, Sahra, 2017. "Estimating risky behavior with multiple-item risk measures," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 59-86.
    20. Yan Chen & Ming Jiang & Erin L. Krupka, 2019. "Hunger and the gender gap," Experimental Economics, Springer;Economic Science Association, vol. 22(4), pages 885-917, December.
    21. Cano, Alexander & Cortes, Darwin & Mantilla, Cesar & Prada-Medina, Laura & Restrepo, Medardo, 2022. "The trade-off between liquidity and insurance: voucher payments in a lab-in-the-field experiment with Colombian rural workers," OSF Preprints 8ft4e, Center for Open Science.

    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:plo:pone00:0296299. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.