IDEAS home Printed from https://ideas.repec.org/p/ags/aaea18/274477.html
   My bibliography  Save this paper

Better understanding of Demand for Weather Index Insurance among Smallholder Farmers under Prospect Theory

Author

Listed:
  • Shin, Soye

Abstract

No abstract is available for this item.

Suggested Citation

  • Shin, Soye, 2018. "Better understanding of Demand for Weather Index Insurance among Smallholder Farmers under Prospect Theory," 2018 Annual Meeting, August 5-7, Washington, D.C. 274477, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea18:274477
    DOI: 10.22004/ag.econ.274477
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/274477/files/Abstracts_18_05_22_09_50_52_33__108_207_61_187_0.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.274477?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. Ruth Vargas Hill & John Hoddinott & Neha Kumar, 2013. "Adoption of weather-index insurance: learning from willingness to pay among a panel of households in rural Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 44(4-5), pages 385-398, July.
    2. Jeffrey R. Brown & Jeffrey R. Kling & Sendhil Mullainathan & Marian V. Wrobel, 2008. "Why Don’t People Insure Late-Life Consumption? A Framing Explanation of the Under-Annuitization Puzzle," American Economic Review, American Economic Association, vol. 98(2), pages 304-309, May.
    3. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    4. Bruce A. Babcock, 2015. "Using Cumulative Prospect Theory to Explain Anomalous Crop Insurance Coverage Choice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(5), pages 1371-1384.
    5. Dercon, Stefan & Christiaensen, Luc, 2011. "Consumption risk, technology adoption and poverty traps: Evidence from Ethiopia," Journal of Development Economics, Elsevier, vol. 96(2), pages 159-173, November.
    6. Gin, Xavier & Yang, Dean, 2009. "Insurance, credit, and technology adoption: Field experimental evidencefrom Malawi," Journal of Development Economics, Elsevier, vol. 89(1), pages 1-11, May.
    7. Hans P. Binswanger, 1980. "Attitudes Toward Risk: Experimental Measurement in Rural India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(3), pages 395-407.
    8. Shawn Cole & Xavier Gine & Jeremy Tobacman & Petia Topalova & Robert Townsend & James Vickery, 2013. "Barriers to Household Risk Management: Evidence from India," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 104-135, January.
    9. Ruth Vargas Hill & Miguel Robles & Francisco Ceballos, 2016. "Demand for a Simple Weather Insurance Product in India: Theory and Evidence," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 1250-1270.
    10. 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.
    11. Dercon, Stefan, 2004. "Growth and shocks: evidence from rural Ethiopia," Journal of Development Economics, Elsevier, vol. 74(2), pages 309-329, August.
    12. Dercon, Stefan & Hill, Ruth Vargas & Clarke, Daniel & Outes-Leon, Ingo & Seyoum Taffesse, Alemayehu, 2014. "Offering rainfall insurance to informal insurance groups: Evidence from a field experiment in Ethiopia," Journal of Development Economics, Elsevier, vol. 106(C), pages 132-143.
    13. Johnson, Eric J & Hershey, John & Meszaros, Jacqueline & Kunreuther, Howard, 1993. "Framing, Probability Distortions, and Insurance Decisions," Journal of Risk and Uncertainty, Springer, vol. 7(1), pages 35-51, August.
    14. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    15. Babcock, Bruce, 2015. "Using Prospect Theory to Explain Anomalous Crop Insurance Coverage Choice," 2015 Allied Social Sciences Association (ASSA) Annual Meeting, January 3-5, 2015, Boston, Massachusetts 189682, Agricultural and Applied Economics Association.
    16. Bulut, Harun, 2016. "U.S. Farmers’ Insurance Choices under Expected Utility Theory and Cumulative Prospect Theory," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236019, Agricultural and Applied Economics Association.
    17. Hans P. Binswanger-Mkhize, 2012. "Is There Too Much Hype about Index-based Agricultural Insurance?," Journal of Development Studies, Taylor & Francis Journals, vol. 48(2), pages 187-200, February.
    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. Shin, Soye & Magnan, Nicholas & Mullally, Conner & Janzen, Sarah, 2022. "Demand for Weather Index Insurance among Smallholder Farmers under Prospect Theory," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 82-104.
    2. Sarah Janzen & Nicholas Magnan & Conner Mullally & Soye Shin & I. Bailey Palmer & Judith Oduol & Karl Hughes, 2021. "Can Experiential Games and Improved Risk Coverage Raise Demand for Index Insurance? Evidence from Kenya," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 338-361, January.
    3. Temesgen Belissa & Robert Lensink & Anne Winkel, 2020. "Effects of Index Insurance on Demand and Supply of Credit: Evidence from Ethiopia," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1511-1531, October.
    4. Visser, Martine & Jumare, Hafsah & Brick, Kerri, 2020. "Risk preferences and poverty traps in the uptake of credit and insurance amongst small-scale farmers in South Africa," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 826-836.
    5. de Brauw, Alan & Eozenou, Patrick, 2014. "Measuring risk attitudes among Mozambican farmers," Journal of Development Economics, Elsevier, vol. 111(C), pages 61-74.
    6. Hill, Ruth Vargas & Kumar, Neha & Magnan, Nicholas & Makhija, Simrin & de Nicola, Francesca & Spielman, David J. & Ward, Patrick S., 2017. "Insuring against droughts: Evidence on agricultural intensification and index insurance demand from a randomized evaluation in rural Bangladesh," IFPRI discussion papers 1630, International Food Policy Research Institute (IFPRI).
    7. Ward, Patrick S. & Kumar, Neha & De Nicola, Francesca & Hill, Ruth & Makhija, Simrin & Spielman, David J. & Magnan, Nicholas, 2017. "Insuring Against Drought: Evidence on Agricultural Intensification and Demand for Index Insurance from a Randomized Evaluation in Rural Bangladesh," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258090, Agricultural and Applied Economics Association.
    8. 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).
    9. Hill, Ruth Vargas & Kumar, Neha & Magnan, Nicholas & Makhija, Simrin & de Nicola, Francesca & Spielman, David J. & Ward, Patrick S., 2019. "Ex ante and ex post effects of hybrid index insurance in Bangladesh," Journal of Development Economics, Elsevier, vol. 136(C), pages 1-17.
    10. Sibiko, Kenneth W. & Veettil, Prakashan C. & Qaim, Matin, 2016. "Small Farmers’ Preferences for Weather Index Insurance: Insights from Kenya," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246399, African Association of Agricultural Economists (AAAE).
    11. Michael R. CARTER & Alain de JANVRY & Elisabeth SADOULET & Alexandros SARRIS, 2014. "Index-based weather insurance for developing countries: A review of evidence and a set of propositions for up-scaling," Working Papers P111, FERDI.
    12. Takahashi, Kazushi & Noritomo, Yuma & Ikegami, Munenobu & Jensen, Nathaniel D., 2020. "Understanding pastoralists’ dynamic insurance uptake decisions: Evidence from four-year panel data in Ethiopia," Food Policy, Elsevier, vol. 95(C).
    13. Michael King & Anuj Pratab Singh, 2018. "Understanding farmers' valuation of agricultural insurance: Evidence from Vietnam," WIDER Working Paper Series wp-2018-93, World Institute for Development Economic Research (UNU-WIDER).
    14. Jensen, Nathaniel D. & Mude, Andrew G. & Barrett, Christopher B., 2018. "How basis risk and spatiotemporal adverse selection influence demand for index insurance: Evidence from northern Kenya," Food Policy, Elsevier, vol. 74(C), pages 172-198.
    15. Awel Y. & Azomahou T.T., 2015. "Risk preference or financial literacy? Behavioural experiment on index insurance demand," MERIT Working Papers 2015-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    16. Petraud, Jean & Boucher, Stephen & Carter, Michael, 2015. "Competing theories of risk preferences and the demand for crop insurance: Experimental evidence from Peru," 2015 Conference, August 9-14, 2015, Milan, Italy 211383, International Association of Agricultural Economists.
    17. Kanchan Joshi & Thiagu Ranganathan & Ram Ranjan, 2021. "Exploring Higher Order Risk Preferences of Farmers in a Water-Scarce Region: Evidence from a Field Experiment in West Bengal, India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(2), pages 317-344, June.
    18. Antoine Leblois & Philippe Quirion & Benjamin Sultan, 2013. "Price vs. weather shock hedging for cash crops: ex ante evaluation for cotton producers in Cameroon," Working Papers hal-00796528, HAL.
    19. Anuj Singh & Michael King, 2018. "Understanding farmers’ valuation of agricultural insurance: Evidence from Vietnam," WIDER Working Paper Series 93, World Institute for Development Economic Research (UNU-WIDER).
    20. Aurélien Baillon & Owen O'Donnell & Stella Quimbo & Kim van Wilgenburg, 2022. "Do time preferences explain low health insurance take‐up?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 951-983, December.

    More about this item

    Keywords

    Risk and Uncertainty; Experimental Economics; International Development;
    All these keywords.

    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:ags:aaea18:274477. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.