Modeling Stochastic Crop Yield Expectations with a Limiting Beta Distribution
David Hennessy
Journal of Agricultural and Resource Economics, 2011, vol. 36, issue 01, 15
Abstract:
The use of plausible stochastic price processes in price risk analysis has allowed advances not seen in crop yield risk analysis. This study develops a stochastic process for yield modeling and risk management. The Pólya urn process is an internally consistent dynamic representation of yield expectations over a growing season that accommodates agronomic events such as growing degree days. The limiting distribution is the commonly used beta distribution. Binomial tree analysis of the process allows us to explore hedging decisions and crop valuation. The method is empirically flexible to accommodate alternative assumptions on the growing environment, such as intra-season input decisions.
Keywords: Crop; Production/Industries (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://ageconsearch.umn.edu/record/105548/files/J ... 177-191_Hennessy.pdf (application/pdf)
Related works:
Working Paper: Modeling Stochastic Crop Yield Expectations with a Limiting Beta Distribution (2012) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:jlaare:105548
DOI: 10.22004/ag.econ.105548
Access Statistics for this article
More articles in Journal of Agricultural and Resource Economics from Western Agricultural Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().