IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/62339.html
   My bibliography  Save this paper

Improving the Effectiveness of Weather-based Insurance: An Application of Copula Approach

Author

Listed:
  • Bokusheva, Raushan

Abstract

The study develops the methodology for a copula-based weather index insurance rating. As the copula approach is better suited for modeling tail dependence than the standard linear correlation method, we suppose that copulas are more adequate for pricing a weather index insurance contract against extreme weather events. To capture the dependence structure in the left tail of the joint distribution of a weather variable and the farm yield, we employ the Gumbel survival copula. Our results indicate that, given the choice of an appropriate weather index to signal extreme drought occurrence, a copula-based weather insurance contact might provide higher risk reduction compared to a regression-based indemnification.

Suggested Citation

  • Bokusheva, Raushan, 2014. "Improving the Effectiveness of Weather-based Insurance: An Application of Copula Approach," MPRA Paper 62339, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:62339
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/62339/1/MPRA_paper_62339.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2017. "Measuring Systemic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 2-47.
    2. H. Holly Wang & Raphael N. Karuaihe & Douglas L. Young & Yuehua Zhang, 2013. "Farmers' demand for weather-based crop insurance contracts: the case of maize in south africa," Agrekon, Taylor & Francis Journals, vol. 52(1), pages 87-110, March.
    3. Norton, Michael T. & Holthaus, Eric & Madajewicz, Malgosia & Osgood, Daniel E. & Peterson, Nicole & Gebremichael, Mengesha & Mullally, Conner & Teh, TseLing, 2011. "Investigating Demand for Weather Index Insurance: Experimental Evidence from Ethiopia," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 104022, Agricultural and Applied Economics Association.
    4. S. Viswanathan & Adriano Rampini, 2013. "Household risk management," 2013 Meeting Papers 647, Society for Economic Dynamics.
    5. 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.
    6. Mobarak, A. Mushfiq & Rosenzweig, Mark R., 2012. "Selling formal Insurance to the Informally Insured," Center Discussion Papers 121671, Yale University, Economic Growth Center.
    7. Jerry R. Skees & J. Roy Black & Barry J. Barnett, 1997. "Designing and Rating an Area Yield Crop Insurance Contract," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 430-438.
    8. Georg Mainik & Eric Schaanning, 2012. "On dependence consistency of CoVaR and some other systemic risk measures," Papers 1207.3464, arXiv.org, revised Aug 2012.
    9. Vedenov, Dmitry V. & Barnett, Barry J., 2004. "Efficiency of Weather Derivatives as Primary Crop Insurance Instruments," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(3), pages 1-17, December.
    10. Raushan Bokusheva, 2011. "Measuring dependence in joint distributions of yield and weather variables," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(1), pages 120-141, May.
    11. Bokusheva, Raushan & Breustedt, Gunnar, 2012. "The Effectiveness of Weather-Based Index Insurance and Area-Yield Crop Insurance: How Reliable are ex post Predictions for Yield Risk Reduction?," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 51(2), pages 1-22, May.
    12. Genest, Christian & Rémillard, Bruno & Beaudoin, David, 2009. "Goodness-of-fit tests for copulas: A review and a power study," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 199-213, April.
    13. Barry J. Barnett & Olivier Mahul, 2007. "Weather Index Insurance for Agriculture and Rural Areas in Lower-Income Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(5), pages 1241-1247.
    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. Wienand Kölle & Andrea Martínez Salgueiro & Matthias Buchholz & Oliver Musshoff, 2021. "Can satellite‐based weather index insurance improve the hedging of yield risk of perennial non‐irrigated olive trees in Spain?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(1), pages 66-93, January.
    2. 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.
    3. 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.
    4. Stoeffler, Quentin & Opuz, Gülce, 2022. "Price, information and product quality: Explaining index insurance demand in Burkina Faso," Food Policy, Elsevier, vol. 108(C).
    5. 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.
    6. Veronika Bertram-Hümmer, 2014. "Index-basierte Wetterversicherungen in Entwicklungsländern," DIW Roundup: Politik im Fokus 20, DIW Berlin, German Institute for Economic Research.
    7. Li, Hong & Porth, Lysa & Tan, Ken Seng & Zhu, Wenjun, 2021. "Improved index insurance design and yield estimation using a dynamic factor forecasting approach," Insurance: Mathematics and Economics, Elsevier, vol. 96(C), pages 208-221.
    8. Shih-Chieh Liao & Shih-Chieh Chang & Tsung-Chi Cheng, 2021. "Managing the Volatility Risk of Renewable Energy: Index Insurance for Offshore Wind Farms in Taiwan," Sustainability, MDPI, vol. 13(16), pages 1-27, August.
    9. Hill, Ruth Vargas & Robles, Miguel & Ceballos, Francisco, 2013. "Demand for weather hedges in India: An empirical exploration of theoretical predictions:," IFPRI discussion papers 1280, International Food Policy Research Institute (IFPRI).
    10. Bokusheva, Raushan, 2010. "Measuring the dependence structure between yield and weather variables," MPRA Paper 22786, University Library of Munich, Germany.
    11. Michler, Jeffrey & Shively, Gerald, 2016. "Agricultural Production, Weather Variability, and Technical Change: 40 Years of Evidence from Indi," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236342, Agricultural and Applied Economics Association.
    12. Antoine Leblois & Philippe Quirion, 2013. "Agricultural insurances based on meteorological indices: realizations, methods and research challenges," Post-Print hal-00656778, HAL.
    13. Shawn Cole & Xavier Giné & James Vickery, 2017. "How Does Risk Management Influence Production Decisions? Evidence from a Field Experiment," The Review of Financial Studies, Society for Financial Studies, vol. 30(6), pages 1935-1970.
    14. Daniel J. Clarke, 2016. "A Theory of Rational Demand for Index Insurance," American Economic Journal: Microeconomics, American Economic Association, vol. 8(1), pages 283-306, February.
    15. Bokusheva, Raushan & Breustedt, Gunnar, 2012. "The Effectiveness of Weather-Based Index Insurance and Area-Yield Crop Insurance: How Reliable are ex post Predictions for Yield Risk Reduction?," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 51(2), pages 1-22, May.
    16. Francisco J. Buera & Joseph P. Kaboski & Yongseok Shin, 2015. "Entrepreneurship and Financial Frictions: A Macrodevelopment Perspective," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 409-436, August.
    17. de Janvry, A. & Dequiedt, V. & Sadoulet, E., 2014. "The demand for insurance against common shocks," Journal of Development Economics, Elsevier, vol. 106(C), pages 227-238.
    18. Martin Eling & Shailee Pradhan & Joan T Schmit, 2014. "The Determinants of Microinsurance Demand," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 39(2), pages 224-263, April.
    19. Michler, Jeffrey D. & Viens, Frederi G. & Shively, Gerald E., 2015. "Risk, Agricultural Production, and Weather Index Insurance in Village South Asia," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205297, Agricultural and Applied Economics Association.
    20. 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.

    More about this item

    Keywords

    catastrophic insurance; weather index insurance; copula; insurance contract design;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance

    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:pra:mprapa:62339. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.