IDEAS home Printed from https://ideas.repec.org/p/tse/wpaper/123740.html
   My bibliography  Save this paper

Betting on the Lord: Lotteries and Religiosity in Haiti

Author

Listed:
  • Auriol, Emmanuelle
  • Delissaint, Diego
  • Fourati, Maleke
  • Miquel-Florensa, Josepa
  • Seabright, Paul

Abstract

We conducted an experimental study in Haiti testing for the relationship between religious belief and individual risk taking behavior. 774 subjects played lotteries in a standard neutral protocol and subsequently with reduced endowments but in the presence of religious images of Catholic, Protestant and Voodoo tradition. Subjects chose between paying to play a lottery with an image of their choice, and saving their money to play with no image. Those who chose the former are dened as image buyers and those who chose the latter as non-buyers. Image buyers, who tend to be less educated, more rural, and to exhibit greater religiosity, bet more than non-buyers in all games. In addition, in the presence of religious images all participants took more risk, and buyer took more risk when playing in the presence of their chosen images than when playing with other images. We develop a theoretical model calibrated with our experimental data to explore the channels through which religious images might aect risk-taking. Our results suggest that the presence of images tends to increase individuals' subjective probability of winning the lottery, and that subjects therefore believe in a god who intervenes actively in the world in response to their requests.

Suggested Citation

  • Auriol, Emmanuelle & Delissaint, Diego & Fourati, Maleke & Miquel-Florensa, Josepa & Seabright, Paul, 2019. "Betting on the Lord: Lotteries and Religiosity in Haiti," TSE Working Papers 19-1053, Toulouse School of Economics (TSE).
  • Handle: RePEc:tse:wpaper:123740
    as

    Download full text from publisher

    File URL: https://www.tse-fr.eu/sites/default/files/TSE/documents/doc/wp/2019/wp_tse_1053.pdf
    File Function: Full Text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Becker, Gary S, 1974. "A Theory of Social Interactions," Journal of Political Economy, University of Chicago Press, vol. 82(6), pages 1063-1093, Nov.-Dec..
    2. Gilat Levy & Ronny Razin, 2012. "Religious Beliefs, Religious Participation, and Cooperation," American Economic Journal: Microeconomics, American Economic Association, vol. 4(3), pages 121-151, August.
    3. Jean Tirole & Roland Bénabou, 2006. "Incentives and Prosocial Behavior," American Economic Review, American Economic Association, vol. 96(5), pages 1652-1678, December.
    4. de Brauw, Alan & Eozenou, Patrick, 2014. "Measuring risk attitudes among Mozambican farmers," Journal of Development Economics, Elsevier, vol. 111(C), pages 61-74.
    5. Michael S. Haigh & John A. List, 2005. "Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis," Journal of Finance, American Finance Association, vol. 60(1), pages 523-534, February.
    6. Brekke, Kjell Arne & Kverndokk, Snorre & Nyborg, Karine, 2003. "An economic model of moral motivation," Journal of Public Economics, Elsevier, vol. 87(9-10), pages 1967-1983, September.
    7. 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.
    8. Hilary, Gilles & Hui, Kai Wai, 2009. "Does religion matter in corporate decision making in America?," Journal of Financial Economics, Elsevier, vol. 93(3), pages 455-473, September.
    9. Daniel J. Benjamin & James J. Choi & Geoffrey Fisher, 2016. "Religious Identity and Economic Behavior," The Review of Economics and Statistics, MIT Press, vol. 98(4), pages 617-637, October.
    10. 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.
    11. GlennW. Harrison & StevenJ. Humphrey & Arjan Verschoor, 2010. "Choice under Uncertainty: Evidence from Ethiopia, India and Uganda," Economic Journal, Royal Economic Society, vol. 120(543), pages 80-104, March.
    12. Gershman, Boris, 2016. "Witchcraft beliefs and the erosion of social capital: Evidence from Sub-Saharan Africa and beyond," Journal of Development Economics, Elsevier, vol. 120(C), pages 182-208.
    13. Kumar, Alok & Page, Jeremy K. & Spalt, Oliver G., 2011. "Religious beliefs, gambling attitudes, and financial market outcomes," Journal of Financial Economics, Elsevier, vol. 102(3), pages 671-708.
    14. Azmat, Ghazala & Petrongolo, Barbara, 2014. "Gender and the labor market: What have we learned from field and lab experiments?," Labour Economics, Elsevier, vol. 30(C), pages 32-40.
    15. Sandra E Black & Paul J Devereux & Petter Lundborg & Kaveh Majlesi, 2018. "Learning to Take Risks? The Effect of Education on Risk-Taking in Financial Markets," Review of Finance, European Finance Association, vol. 22(3), pages 951-975.
    16. Luigi Guiso & Monica Paiella, 2008. "Risk Aversion, Wealth, and Background Risk," Journal of the European Economic Association, MIT Press, vol. 6(6), pages 1109-1150, December.
    17. Daniel L. Chen, 2010. "Club Goods and Group Identity: Evidence from Islamic Resurgence during the Indonesian Financial Crisis," Journal of Political Economy, University of Chicago Press, vol. 118(2), pages 300-354, April.
    18. Glenn W. Harrison & E. Elisabet Rutström, 2008. "Risk Aversion in the Laboratory," Research in Experimental Economics, in: Risk Aversion in Experiments, pages 41-196, Emerald Group Publishing Limited.
    19. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    20. Uri Gneezy & Jan Potters, 1997. "An Experiment on Risk Taking and Evaluation Periods," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 631-645.
    21. Nathan Nunn & Raul Sanchez de la Sierra, 2017. "Why Being Wrong Can Be Right: Magical Warfare Technologies and the Persistence of False Beliefs," American Economic Review, American Economic Association, vol. 107(5), pages 582-587, May.
    22. Emmanuelle Auriol & Julie Lassébie & Amma Panin & Eva Raiber & Paul Seabright, 2020. "God Insures those Who Pay? Formal Insurance and Religious Offerings in Ghana," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 1799-1848.
    23. Laura Schechter, 2007. "Risk aversion and expected-utility theory: A calibration exercise," Journal of Risk and Uncertainty, Springer, vol. 35(1), pages 67-76, August.
    24. 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.
    25. Hurley, Terrance M., 2010. "A review of agricultural production risk in the developing world," Working Papers 188476, HarvestChoice.
    26. Horowitz, John K., 1992. "A test of intertemporal consistency," Journal of Economic Behavior & Organization, Elsevier, vol. 17(1), pages 171-182, January.
    27. Charness, Gary & Gneezy, Uri & Imas, Alex, 2013. "Experimental methods: Eliciting risk preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 87(C), pages 43-51.
    28. 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.
    29. Charness, Gary & Gneezy, Uri, 2012. "Strong Evidence for Gender Differences in Risk Taking," Journal of Economic Behavior & Organization, Elsevier, vol. 83(1), pages 50-58.
    30. Donkers, Bas & Melenberg, Bertrand & Van Soest, Arthur, 2001. "Estimating Risk Attitudes Using Lotteries: A Large Sample Approach," Journal of Risk and Uncertainty, Springer, vol. 22(2), pages 165-195, March.
    31. Ert, Eyal & Haruvy, Ernan, 2017. "Revisiting risk aversion: Can risk preferences change with experience?," Economics Letters, Elsevier, vol. 151(C), pages 91-95.
    32. Elaine M. Liu, 2013. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1386-1403, October.
    33. Rachel M. McCleary & Robert J. Barro, 2006. "Religion and Economy," Journal of Economic Perspectives, American Economic Association, vol. 20(2), pages 49-72, Spring.
    34. Azmat, Ghazala & Petrongolo, Barbara, 2014. "Gender and the labor market: What have we learned from field and lab experiments?," Labour Economics, Elsevier, vol. 30(C), pages 32-40.
    35. Olivier l'Haridon & Ferdinand M. Vieider, 2019. "All over the map: A worldwide comparison of risk preferences," Quantitative Economics, Econometric Society, vol. 10(1), pages 185-215, January.
    36. Helen Bernhard & Ernst Fehr & Urs Fischbacher, 2006. "Group Affiliation and Altruistic Norm Enforcement," American Economic Review, American Economic Association, vol. 96(2), pages 217-221, May.
    37. Robert B. Barsky & F. Thomas Juster & Miles S. Kimball & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 537-579.
    38. Claudia R. Sahm, 2007. "Stability of risk preference," Finance and Economics Discussion Series 2007-66, Board of Governors of the Federal Reserve System (U.S.).
    39. Ferdinand M. Vieider & Mathieu Lefebvre & Ranoua Bouchouicha & Thorsten Chmura & Rustamdjan Hakimov & Michal Krawczyk & Peter Martinsson, 2015. "Common Components Of Risk And Uncertainty Attitudes Across Contexts And Domains: Evidence From 30 Countries," Journal of the European Economic Association, European Economic Association, vol. 13(3), pages 421-452, June.
    40. Naidu, Suresh & Robinson, James A. & Young, Lauren E., 2021. "Social Origins of Dictatorships: Elite Networks and Political Transitions in Haiti," American Political Science Review, Cambridge University Press, vol. 115(3), pages 900-916, August.
    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. Emmanuelle Auriol & Diego Delissaint & Maleke Fourati & Josepa Miquel‐Florensa & Paul Seabright, 2021. "Trust in the image of God: Links between religiosity and reciprocity in Haiti," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 29(1), pages 3-34, January.

    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. Goytom Abraha Kahsay & Workineh Asmare Kassie & Haileselassie Medhin & Lars Gårn Hansen, 2022. "Are religious farmers more risk taking? Empirical evidence from Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 53(4), pages 617-632, July.
    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. Goytom Abraha Kahsay & Daniel Osberghaus, 2018. "Storm Damage and Risk Preferences: Panel Evidence from Germany," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 301-318, September.
    4. 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).
    5. Utteeyo Dasgupta & Subha Mani & Smriti Sharma & Saurabh Singhal, 2016. "Eliciting risk preferences: Firefighting in the field," WIDER Working Paper Series wp-2016-47, World Institute for Development Economic Research (UNU-WIDER).
    6. Gary Charness & Thomas Garcia & Theo Offerman & Marie Claire Villeval, 2020. "Do measures of risk attitude in the laboratory predict behavior under risk in and outside of the laboratory?," Journal of Risk and Uncertainty, Springer, vol. 60(2), pages 99-123, April.
    7. Strobl, Renate, 2022. "Background risk, insurance and investment behaviour: Experimental evidence from Kenya," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 34-68.
    8. 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.
    9. 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.
    10. Collier, Trevor & Cotten, Stephen & Roush, Justin, 2022. "Using pandemic behavior to test the external validity of laboratory measurements of risk aversion and guilt," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 101(C).
    11. 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.
    12. Galizzi, Matteo M. & Machado, Sara R. & Miniaci, Raffaele, 2016. "Temporal stability, cross-validity, and external validity of risk preferences measures: experimental evidence from a UK representative sample," LSE Research Online Documents on Economics 67554, London School of Economics and Political Science, LSE Library.
    13. Dasgupta, Utteeyo & Mani, Subha & Sharma, Smriti & Singhal, Saurabh, 2016. "Eliciting Risk Preferences: Firefighting in the Field," IZA Discussion Papers 9765, Institute of Labor Economics (IZA).
    14. Emmanuelle Auriol & Diego Delissaint & Maleke Fourati & Josepa Miquel‐Florensa & Paul Seabright, 2021. "Trust in the image of God: Links between religiosity and reciprocity in Haiti," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 29(1), pages 3-34, January.
    15. Paolo Crosetto & Antonio Filippin, 2013. "A Theoretical and Experimental Appraisal of Five Risk Elicitation Methods," SOEPpapers on Multidisciplinary Panel Data Research 547, DIW Berlin, The German Socio-Economic Panel (SOEP).
    16. Menkhoff, Lukas & Sakha, Sahra, 2017. "Estimating risky behavior with multiple-item risk measures," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 59-86.
    17. Charness, Gary & Gneezy, Uri & Imas, Alex, 2013. "Experimental methods: Eliciting risk preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 87(C), pages 43-51.
    18. Andreas Hackethal & Michael Kirchler & Christine Laudenbach & Michael Razen & Annika Weber, 2023. "On the role of monetary incentives in risk preference elicitation experiments," Journal of Risk and Uncertainty, Springer, vol. 66(2), pages 189-213, April.
    19. Paolo Crosetto & Antonio Filippin, 2016. "A theoretical and experimental appraisal of four risk elicitation methods," Experimental Economics, Springer;Economic Science Association, vol. 19(3), pages 613-641, September.
    20. Drupp, Moritz A. & Khadjavi, Menusch & Riekhof, Marie-Catherine & Voss, Rudi, 2020. "Professional identity and the gender gap in risk-taking. Evidence from field experiments with scientists," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 418-432.

    More about this item

    Keywords

    Risk preferences; Religion; Field Experiment;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Z12 - Other Special Topics - - Cultural Economics - - - Religion

    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:tse:wpaper:123740. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/tsetofr.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.