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

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  • Bokusheva, Raushan
  • Breustedt, Gunnar

Abstract

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.

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  • 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.
    • Handle: RePEc:ags:qjiage:155475
    DOI: 10.22004/ag.econ.155475
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    References listed on IDEAS

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    Cited by:

    1. Conradt, Sarah & Bokusheva, Raushan & Finger, Robert & Kussaiynov, Talgat, 2014. "Yield Trend Estimation in the Presence of Farm Heterogeneity and Non-linear Technological Change," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 53(2), pages 1-20, May.
    2. 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.
    3. Eltazarov, Sarvarbek & Bobojonov, Ihtiyor & Kuhn, Lena & Glauben, Thomas, 2021. "Mapping weather risk – A multi-indicator analysis of satellite-based weather data for agricultural index insurance development in semi-arid and arid zones of Central Asia," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23.
    4. Reimund Schwarze & Oleksandr Sushchenko, 2022. "Climate Insurance for Agriculture in Europe: On the Merits of Smart Contracts and Distributed Ledger Technologies," JRFM, MDPI, vol. 15(5), pages 1-16, May.
    5. Bokusheva, Raushan, 2014. "Improving the Effectiveness of Weather-based Insurance: An Application of Copula Approach," MPRA Paper 62339, University Library of Munich, Germany.

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