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Farm Level Analysis of Risk and Risk Management Strategies and Policies: Technical Note

Author

Listed:
  • Shingo Kimura

    (OECD)

  • Christine Le Thi

    (OECD)

Abstract

This Working Paper serves as a technical background note for the Farm-level analysis of risk, risk management strategies and policies (OECD Food, Agriculture and Fisheries Working Papers No.26). It describes: 1) the data source and analytical methods employed to measure risk exposure at the farm level; 2) the stochastic simulation model to analyze farm behaviour and policy performance under risk; and 3) cluster analysis as a way of selecting representative farms for model calibration.

Suggested Citation

  • Shingo Kimura & Christine Le Thi, 2011. "Farm Level Analysis of Risk and Risk Management Strategies and Policies: Technical Note," OECD Food, Agriculture and Fisheries Papers 48, OECD Publishing.
  • Handle: RePEc:oec:agraaa:48-en
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    File URL: http://dx.doi.org/10.1787/5kg6z83f0s34-en
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    Cited by:

    1. Carbajal De Nova, Carolina, 2017. "Synthetic data. A proposed method for applied risk management," MPRA Paper 77978, University Library of Munich, Germany, revised 28 Mar 2017.
    2. Jason Loughrey & Fiona Thorne & Thia Hennessy, 2016. "A Microsimulation Model for Risk in Irish Tillage Farming," International Journal of Microsimulation, International Microsimulation Association, vol. 9(2), pages 41-76.

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    Keywords

    cluster analysis; holistic approach; risk management;

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