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Calibration of an Agricultural Sector Model for the Region Khorezm (Uzbekistan) based on Survey Data


  • Mueller, Marc
  • Djanibekov, Nodir


The paper describes the approach used for the calibration of a price-endogenous programming model, developed for the agricultural sector of the region Khorezm in Uzbekistan. Extensive datasets from farm surveys were used to parameterize the model, which nevertheless tended to over-specialization and failed in general to replicate the observed levels of primal model variables. Calibration of the model with “Positive Mathematical Programming” approaches was not satisfying as the additional cost terms introduced to replicate the observed situation were in many cases not plausible and deviated substantially from any available information on cost structure of the agricultural production activities in the study region. After revising the survey data it became obvious that the variances of technical parameters of the model, namely the input coefficients, were significantly larger than any other used set of information. Consequently, instead of introducing additional cost terms, we decided to estimate the technology parameters, such that the observed situation was replicated and the Kuhn-Tucker conditions for an optimum in this point were fulfilled. The estimation was based on a cross entropy approach. The needed support points and prior distributions of the technology coefficients and dual values were drawn from survey data and additional sources of information, such as expert interviews. The result is a calibrated agricultural sector model with a technology representation that was derived by systematical exploitation of relevant data sources for the study region.

Suggested Citation

  • Mueller, Marc & Djanibekov, Nodir, 2009. "Calibration of an Agricultural Sector Model for the Region Khorezm (Uzbekistan) based on Survey Data," 2009 Conference, August 16-22, 2009, Beijing, China 50354, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae09:50354

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    References listed on IDEAS

    1. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
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    Cited by:

    1. Manfred Lenzen & Sven Lundie, 2012. "Constructing enterprise input-output tables - a case study of New Zealand dairy products," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 1(1), pages 1-15, December.

    More about this item


    supply model calibration; positive mathematical programming; technology coefficient estimation; Agricultural and Food Policy; Research Methods/ Statistical Methods; C6; C8; Q1;

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture


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