The Effectiveness of Weather-Based Index Insurance and Area-Yield Crop Insurance: How Reliable are ex post Predictions for Yield Risk Reduction?

An ex post measure of risk reduction is commonly used in the literature to predict the potential reduction of farmers’ yield risk due to weather-based index insurance and area-yield crop insurance. In this paper, we evaluate the predictive power of the ex post risk reduction for different weather-based index as well as area-yield index and farm yield insurance contracts. We compute an empirical benchmark of potential risk reduction against which the ex post estimates are evaluated by distinguishing between a training data set and a test data set. Based on data for 40 wheat producers in Kazakhstan, our empirical analysis shows that the ex post approach can overestimate farmers’ future risk reductions due to crop insurance schemes based on weather indexes or area yields. Therefore, we argue that the decision about the market launch of index-based insurance instruments should be based on more than just the common ex post approach.


Issue Date:
2012-05
Publication Type:
Journal Article
DOI and Other Identifiers:
10.22004/ag.econ.155475
ISSN 0049-8599 (Other)
Record Identifier:
https://ageconsearch.umn.edu/record/155475
PURL Identifier:
http://purl.umn.edu/155475
Published in:
51, 2
Quarterly Journal of International Agriculture
Page range:
135-156
Total Pages:
22
JEL Codes:
D81; G22; Q14
Series Statement:
Quarterly Journal of International Agriculture 51 (2012)
2




 Record created 2017-04-01, last modified 2020-10-28

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