ASSESSING THE FINANCIAL RISKS OF DIVERSIFIED COFFEE PRODUCTION SYSTEMS: AN ALTERNATIVE NONNORMAL CDF ESTIMATION APPROACH

Recently developed techniques are adapted and combined for the modeling and simulation of crop yields and prices that can be mutually correlated, exhibit heteroskedasticity or autocorrelation, and follow nonnormal probability density functions. The techniques are applied to the modeling and simulation of probability distribution functions for the returns of three tropical agroforestry systems for coffee production. The importance of using distribution functions that can more closely reflect the statistical behavior of yields and prices for risk analysis is discussed and illustrated.


Issue Date:
2000-07
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/30838
Published in:
Journal of Agricultural and Resource Economics, Volume 25, Number 1
Page range:
267-285
Total Pages:
19




 Record created 2017-04-01, last modified 2017-08-24

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