A spatial Bayesian approach to weather derivatives
Purpose – While the demand for weather-based agricultural insurance in developed regions is limited, there exists significant potential for the use of weather indexes in developing areas. The purpose of this paper is to address the issue of historical data availability in designing actuarially sound weather-based instruments. Design/methodology/approach – A Bayesian rainfall model utilizing spatial kriging and Markov chain Monte Carlo techniques is proposed to estimate rainfall histories from observed historical data. An example drought insurance policy is presented where the fair rates are calculated using Monte Carlo methods and a historical analysis is carried out to assess potential policy performance. Findings – The applicability of the estimation method is validated using a rich data set from Iowa. Results from the historical analysis indicate that the systemic nature of weather risk can vary greatly over time, even in the relatively homogenous region of Iowa. Originality/value – The paper shows that while the kriging method may be more complex than competing models, it also provides a richer set of results. Furthermore, while the application is specific to forage production in Iowa, the rainfall model could be generalized to other regions by incorporating additional climatic factors.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 70 (2010)
Issue (Month): 1 (May)
|Contact details of provider:|| Web page: http://www.emeraldinsight.com|
|Order Information:|| Postal: Emerald Group Publishing, Howard House, Wagon Lane, Bingley, BD16 1WA, UK|
Web: http://emeraldgrouppublishing.com/products/journals/journals.htm?id=afr Email:
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- John Duncan & Robert J. Myers, 2000. "Crop Insurance under Catastrophic Risk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 842-855.
- Chad E. Hart & Bruce A. Babcock & Dermot J. Hayes, 2001.
"Livestock Revenue Insurance,"
Journal of Futures Markets,
John Wiley & Sons, Ltd., vol. 21(6), pages 553-580, 06.
- Chad E. Hart & Bruce A. Babcock & Dermot J. Hayes, 2001. "Livestock Revenue Insurance," Center for Agricultural and Rural Development (CARD) Publications 99-wp224, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Hart, Chad E. & Babcock, Bruce A. & Hayes, Dermot J., 2001. "Livestock Revenue Insurance," Staff General Research Papers 1932, Iowa State University, Department of Economics.
- Jerry R. Skees, 2008. "Challenges for use of index-based weather insurance in lower income countries," Agricultural Finance Review, Emerald Group Publishing, vol. 68(1), pages 197-217, September.
- Martin, Steven W. & Barnett, Barry J. & Coble, Keith H., 2001. "Developing And Pricing Precipitation Insurance," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(01), July.
- Gautam, Madhur & Hazell, Peter & Alderman, Harold, 1994. "Rural demand for drought insurance," Policy Research Working Paper Series 1383, The World Bank.
- Takeshi Sakurai & Thomas Reardon, 1997. "Potential Demand for Drought Insurance in Burkina Faso and Its Determinants," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1193-1207.
- Nancy McCarthy, 2003. "Demand for rainfall-index based insurance: a case study from Morocco," EPTD discussion papers 106, International Food Policy Research Institute (IFPRI).
When requesting a correction, please mention this item's handle: RePEc:eme:afrpps:v:70:y:2010:i:1:p:79-96. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Louise Lister)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.