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Investigating the performance of different estimation techniques for crop yield data analysis in crop insurance applications

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  • Robert Finger

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  • Robert Finger, 2013. "Investigating the performance of different estimation techniques for crop yield data analysis in crop insurance applications," Agricultural Economics, International Association of Agricultural Economists, vol. 44(2), pages 217-230, March.
    • Handle: RePEc:bla:agecon:v:44:y:2013:i:2:p:217-230
    DOI: agec.12005
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    Cited by:

    1. F. G. Santeramo & B. K. Goodwin & F. Adinolfi & F. Capitanio, 2016. "Farmer Participation, Entry and Exit Decisions in the Italian Crop Insurance Programme," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 639-657, September.
    2. Eltazarov, Sarvarbek, 2023. "The potential of satellite-based data to detect weather extremes and crop yield variation for hedging agricultural weather risks in Central Asia and Mongolia: Three essays," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 286134, March.
    3. Yong Liu & A. Ford Ramsey, 2023. "Incorporating historical weather information in crop insurance rating," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(2), pages 546-575, March.
    4. Boyer, Christopher N. & Harmon, Xavier & Smith, S. Aaron & Lambert, Dayton M. & Kelly, Heather & Jordan, Jamie & Newman, Melvin, 2016. "A Two-Stage Approach for Estimating the Value of Damage Control with Fungicide in Soybean Production," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229574, Southern Agricultural Economics Association.
    5. Tobias Dalhaus & Barry J Barnett & Robert Finger, 2020. "Behavioral weather insurance: Applying cumulative prospect theory to agricultural insurance design under narrow framing," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-25, May.
    6. Arata, Linda & Fabrizi, Enrico & Sckokai, Paolo, 2020. "A worldwide analysis of trend in crop yields and yield variability: Evidence from FAO data," Economic Modelling, Elsevier, vol. 90(C), pages 190-208.
    7. Addey, Kwame Asiam & Shaik, Saleem & Nganje, William, 2022. "DEVELOPMENT OF FARM MODEL FOR ND and NGP Prediction of Corn and Soybean Yields in the Presence of Random Shocks," Agribusiness & Applied Economics Report 320066, North Dakota State University, Department of Agribusiness and Applied Economics.

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