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Calibration of an Agricultural Sector Model for the Region Khorezm (Uzbekistan) based on Survey Data AgEcon
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...
Tipo: Conference Paper or Presentation Palavras-chave: Supply model calibration; Positive mathematical programming; Technology coefficient estimation; Agricultural and Food Policy; Research Methods/ Statistical Methods; C6; C8; Q1.
Ano: 2009 URL: http://purl.umn.edu/50354
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