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Crop Insurance Adjusted Panel Data Envelopment Analysis Efficiency Measures

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  • Saleem Shaik

Abstract

The Swamy-Arora panel data envelopment analysis model is used to estimate crop insurance adjusted efficiency based on an alternative two-way random effect panel estimator. An empirical application using data from 48 U.S. states from 1960 to 2004 indicate the crop insurance adjusted panel model underestimates (overestimates) efficiency in 35 (13) states relative to the pool model. A comparison of efficiency over three time periods--1960 to 1979, 1980 to 1995, and 1996 to 2004--suggests differential trends. The crop insurance adjusted panel model underestimates (overestimates) efficiency in 32 (16) states relative to the model without crop insurance. Copyright 2013, Oxford University Press.

Suggested Citation

  • Saleem Shaik, 2013. "Crop Insurance Adjusted Panel Data Envelopment Analysis Efficiency Measures," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(5), pages 1155-1177.
    • Handle: RePEc:oup:ajagec:v:95:y:2013:i:5:p:1155-1177
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    File URL: http://hdl.handle.net/10.1093/ajae/aat062
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    Cited by:

    1. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
    2. Sakouvogui Kekoura & Shaik Saleem & Addey Kwame Asiam, 2020. "Cluster-Adjusted DEA Efficiency in the presence of Heterogeneity: An Application to Banking Sector," Open Economics, De Gruyter, vol. 3(1), pages 50-69, January.
    3. Mare, Frikkie & Grove, Bennie & Willemse, Barend, 2015. "Avaluating Alternative Risk Transfer as a Crop Insurance Policy under Stochastic Yields and Prices," 2015 Conference, August 9-14, 2015, Milan, Italy 212227, International Association of Agricultural Economists.
    4. Frikkie Maré & Bennie Grové & Johan Willemse, 2017. "Evaluating the long-term effectiveness of crop insurance products to provide cost effective and constant cover for maize producers under stochastic yields and prices," Agrekon, Taylor & Francis Journals, vol. 56(3), pages 233-247, July.

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