Data/hora: 11/06/2024 02:24:15

Provedor de dados: | Research in Agricultural & Applied Economics (AgEcon Searh)
País: | United States
Título: | Risk programming and sparse data: how to get more reliable results
Autores: | Hardaker,   J. Brian; Lien,   Gudbrand D.; Van Asseldonk,   Marcel A.P.M.; Richardson,   James W.; Hegrenes,   Agnar.
Data: | 2008-10-09
Ano: | 2008
Palavras-chave: | Risk programming; States of nature; Sparse data; Risk and Uncertainty.
Resumo: | Because relevant historical data for farms are inevitably sparse, most risk programming studies rely on few observations. We discuss how to use available information to derive an appropriate multivariate distribution function that can be sampled for a more complete representation of the possible risks in riskbased models. For the particular example of a Norwegian mixed livestock and crop farm, the solution is shown to be unstable with few states, although the cost of picking a sub-optimal plan declines with increases in number of states by Latin Hypercube sampling.
Tipo: | Conference Paper or Presentation
Idioma: | Inglês
Identificador: | http://purl.umn.edu/44051
Relação: | European Association of Agricultural Economists&gt;2008 International Congress, August 26-29, 2008, Ghent, Belgium
Formato: | 5