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Simulation model for income risk analyses at the sector level, case of Slovenia

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  • Zgajnar, Jaka

Abstract

This paper presents possible approach how different sources of data at farm level, national statistics and analytical models could be merged in simulation process to analyse income risk at the sector level. Baseline is production structure resumed out of annual subsidy applications as key information per each agricultural holding within the sector. Presented approach utilises potential of random number generator and random distributions of Monte Carlo to roughly reconstruct different sources of risks in different states of nature that may occur with diverse probabilities at the particular farm. In such a manner income situation at sector level is analysed. The developed approach is tested on the 21 farm types further divided into 13 economic classes. Obtained preliminary results suggest that this could be useful approach for rough estimation of income risk and points on some limitations and drawbacks that should be further improved.

Suggested Citation

  • Zgajnar, Jaka, 2014. "Simulation model for income risk analyses at the sector level, case of Slovenia," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 186381, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae14:186381
    DOI: 10.22004/ag.econ.186381
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    References listed on IDEAS

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    1. Severini, Simone & Cortignani, Raffaele, 2011. "Modeling farmer participation to a revenue insurance scheme by means of Positive Mathematical Programming," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 116001, European Association of Agricultural Economists.
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    Keywords

    Production Economics; Risk and Uncertainty;

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