IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp10744.html
   My bibliography  Save this paper

Nudging Households to Take Up Health Insurance: Evidence from a Randomized Experiment in Burkina Faso

Author

Listed:
  • Bocoum, Fadima

    (Institute de Recherche en Sciences de Santé (IRSS))

  • Grimm, Michael

    (University of Passau)

  • Hartwig, Renate

    (University of Namur)

  • Zongo, Nathalie

    (Association Songui Manégré- Aide au développement Endogène (ASMADE))

Abstract

In this paper we analyze the impact of a randomized information package on the understanding and uptake of community based health insurance. The information package consists of a detailed brochure which is distributed to households through home visits, a video also presented in people's homes and a personalized phone reminder. Overall, we find significant treatment effects on insurance uptake at the margin, although insurance uptake is low in general. We also find evidence for a better understanding of insurance principles among treated households, in particular in poorer households and in households with literate household heads. Finally, we see that treated households share the information they received with their neighbors and this also has positive effects on their understanding of insurance principles. We find further suggestive evidence that information sharing remains locally concentrated and does not surpass a radius of 1 km. Our findings contribute to the understanding how knowledge about the functioning of insurance can be enhanced in a context where the concept of insurance is largely unknown and where strong cultural beliefs prevail, and eventually, how insurance uptake can be increased, although the latter may take more time.

Suggested Citation

  • Bocoum, Fadima & Grimm, Michael & Hartwig, Renate & Zongo, Nathalie, 2017. "Nudging Households to Take Up Health Insurance: Evidence from a Randomized Experiment in Burkina Faso," IZA Discussion Papers 10744, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp10744
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp10744.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. De Weerdt, Joachim & Dercon, Stefan, 2006. "Risk-sharing networks and insurance against illness," Journal of Development Economics, Elsevier, vol. 81(2), pages 337-356, December.
    2. Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2021. "Can Network Theory-Based Targeting Increase Technology Adoption?," American Economic Review, American Economic Association, vol. 111(6), pages 1918-1943, June.
    3. Joseph J. Capuno & Aleli D. Kraft & Stella Quimbo & Carlos R. Tan & Adam Wagstaff, 2016. "Effects of Price, Information, and Transactions Cost Interventions to Raise Voluntary Enrollment in a Social Health Insurance Scheme: A Randomized Experiment in the Philippines," Health Economics, John Wiley & Sons, Ltd., vol. 25(6), pages 650-662, June.
    4. Marcel Fafchamps & John Pender, "undated". "Precautionary Saving Credit Constraints and Investment: Theory and Evidence from Semi-Arid India," Computing in Economics and Finance 1997 37, Society for Computational Economics.
    5. Asfaw, Abay & von Braun, Joachim, 2004. "Is Consumption Insured against Illness? Evidence on Vulnerability of Households to Health Shocks in Rural Ethiopia," Economic Development and Cultural Change, University of Chicago Press, vol. 53(1), pages 115-129, October.
    6. Elizabeth Frankenberg & James P. Smith & Duncan Thomas, 2003. "Economic Shocks, Wealth, and Welfare," Journal of Human Resources, University of Wisconsin Press, vol. 38(2).
    7. Jean-Philippe Platteau, 1997. "Mutual insurance as an elusive concept in traditional rural communities," Journal of Development Studies, Taylor & Francis Journals, vol. 33(6), pages 764-796.
    8. 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.
    9. Adam Wagstaff, 2010. "Social health insurance reexamined," Health Economics, John Wiley & Sons, Ltd., vol. 19(5), pages 503-517, May.
    10. Paul Gertler & Jonathan Gruber, 2002. "Insuring Consumption Against Illness," American Economic Review, American Economic Association, vol. 92(1), pages 51-70, March.
    11. George Schieber & Cheryl Cashin & Karima Saleh & Rouselle Lavado, 2012. "Health Financing in Ghana," World Bank Publications - Books, The World Bank Group, number 11977.
    12. 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.
    13. Anthony Patt & Nicole Peterson & Michael Carter & Maria Velez & Ulrich Hess & Pablo Suarez, 2009. "Making index insurance attractive to farmers," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 14(8), pages 737-753, December.
    14. Marcel Fafchamps, 2003. "Rural Poverty, Risk and Development," Books, Edward Elgar Publishing, number 3127.
    15. Schneider, Pia, 2005. "Trust in micro-health insurance: an exploratory study in Rwanda," Social Science & Medicine, Elsevier, vol. 61(7), pages 1430-1438, October.
    16. Cai, Jing & Song, Changcheng, 2017. "Do disaster experience and knowledge affect insurance take-up decisions?," Journal of Development Economics, Elsevier, vol. 124(C), pages 83-94.
    17. Jean Philippe Platteau & Darwin Ugarte Ontiveros, 2013. "Understanding and Information Failures: Lessons from a Health Microinsurance Program in India," Working Papers 1301, University of Namur, Department of Economics.
    18. Wagstaff, Adam, 2007. "The economic consequences of health shocks: Evidence from Vietnam," Journal of Health Economics, Elsevier, vol. 26(1), pages 82-100, January.
    19. Platteau, Jean-Philippe & De Bock, Ombeline & Gelade, Wouter, 2017. "The Demand for Microinsurance: A Literature Review," World Development, Elsevier, vol. 94(C), pages 139-156.
    20. Fafchamps, Marcel & Pender, John, 1997. "Precautionary Saving, Credit Constraints, and Irreversible Investment: Theory and Evidence from Semiarid India," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(2), pages 180-194, April.
    21. Maria Eugenia Genoni, 2012. "Health Shocks and Consumption Smoothing: Evidence from Indonesia," Economic Development and Cultural Change, University of Chicago Press, vol. 60(3), pages 475-506.
    22. Basaza, Robert & Criel, Bart & Van der Stuyft, Patrick, 2008. "Community health insurance in Uganda: Why does enrolment remain low? A view from beneath," Health Policy, Elsevier, vol. 87(2), pages 172-184, August.
    23. Dong, Hengjin & De Allegri, Manuela & Gnawali, Devendra & Souares, Aurélia & Sauerborn, Rainer, 2009. "Drop-out analysis of community-based health insurance membership at Nouna, Burkina Faso," Health Policy, Elsevier, vol. 92(2-3), pages 174-179, October.
    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. Bocoum, Fadima & Grimm, Michael & Hartwig, Renate & Zongo, Nathalie, 2019. "Can information increase the understanding and uptake of insurance? Lessons from a randomized experiment in rural Burkina Faso," Social Science & Medicine, Elsevier, vol. 220(C), pages 102-111.
    2. Aurélien Baillon & Aleli Kraft & Owen O’Donnell & Kim Wilgenburg, 2022. "A behavioral decomposition of willingness to pay for health insurance," Journal of Risk and Uncertainty, Springer, vol. 64(1), pages 43-87, February.
    3. Nathanael Ojong, 2019. "Healthcare Financing in Rural Cameroon," Societies, MDPI, vol. 9(4), pages 1-12, November.
    4. Jean Philippe Platteau & Darwin Ugarte Ontiveros, 2013. "Understanding and Information Failures in Insurance: Evidence from India," Development Research Working Paper Series 07/2013, Institute for Advanced Development Studies.
    5. Platteau, Jean-Philippe & De Bock, Ombeline & Gelade, Wouter, 2017. "The Demand for Microinsurance: A Literature Review," World Development, Elsevier, vol. 94(C), pages 139-156.
    6. Stoeffler, Quentin & Opuz, Gülce, 2022. "Price, information and product quality: Explaining index insurance demand in Burkina Faso," Food Policy, Elsevier, vol. 108(C).
    7. Dalton, Michael & LaFave, Daniel, 2017. "Mitigating the consequences of a health condition: The role of intra- and interhousehold assistance," Journal of Health Economics, Elsevier, vol. 53(C), pages 38-52.
    8. 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.
    9. Platteau, Jean-Philippe & Ugarte Ontiveros, Darwin, 2017. "Cognitive Bias in Insurance: Evidence from India," CEPR Discussion Papers 12242, C.E.P.R. Discussion Papers.
    10. Thomas Rouyard & Yukichi Mano & Bocar Mamadou Daff & Serigne Diouf & Khadidiatou Fall Dia & Laetitia Duval & Josselin Thuilliez & Ryota Nakamura, 2022. "Operational and Structural Factors Influencing Enrolment in Community-Based Health Insurance Schemes: An Observational Study Using 12 Waves of Nationwide Panel Data from Senegal," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03641124, HAL.
    11. Arjun S. Bedi & Sparrow, R.A., 2014. "Sickness and death," ISS Working Papers - General Series 51366, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    12. Michael Hillebrecht & Stefan Klonner & Rainer Sauerborn & Alie Sié & Aurélia Souares, 2021. "The Demand for Health Insurance in a Poor Economy: Evidence from Burkina Faso," Economic Development and Cultural Change, University of Chicago Press, vol. 69(4), pages 1273-1300.
    13. Pheeha Morudu & Umakrishnan Kollamparambil, 2020. "Health shocks, medical insurance and household vulnerability: Evidence from South Africa," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-17, February.
    14. Platteau, Jean-Philippe & Ugarte Ontiveros, Darwin, 2021. "Cognitive bias in insurance: Evidence from a health scheme in India," World Development, Elsevier, vol. 144(C).
    15. Ella Kirchner & Oliver Musshoff, 2024. "Digital opportunities for the distribution of index‐based microinsurance: Evidence from a discrete choice experiment in Mali," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(2), pages 794-815, June.
    16. Khan, Farid & Bedi, Arjun S. & Sparrow, Robert, 2015. "Sickness and Death: Economic Consequences and Coping Strategies of the Urban Poor in Bangladesh," World Development, Elsevier, vol. 72(C), pages 255-266.
    17. Antoine Leblois & Philippe Quirion, 2013. "Agricultural insurances based on meteorological indices: realizations, methods and research challenges," Post-Print hal-00656778, HAL.
    18. Antoine Leblois & Philippe Quirion & Agali Alhassane & Seydou Traoré, 2014. "Weather Index Drought Insurance: An Ex Ante Evaluation for Millet Growers in Niger," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(4), pages 527-551, April.
    19. Basco, Sergi & Domènech, Jordi & Rosés, Joan R., 2021. "The redistributive effects of pandemics: Evidence on the Spanish flu," World Development, Elsevier, vol. 141(C).
    20. Haseeb Ahmed & Benjamin W. Cowan, 2019. "Mobile Money and Healthcare Use: Evidence from East Africa," NBER Working Papers 25669, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    take-up; financial education; learning; encouragement design; health insurance;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:iza:izadps:dp10744. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.