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Provedor de dados:  AgEcon
País:  United States
Título:  Spatial Disaggregation of Agricultural Production Data
Autores:  Howitt, Richard E.
Reynaud, Arnaud
Data:  2006-05-23
Ano:  2002
Palavras-chave:  Disaggregation
Bayesian method
Maximum entropy
Land use
Production Economics
C11
C44
Q12
Resumo:  In this paper we develop a dynamic data-consistent way for estimating agricultural land use choices at a disaggregate level (district-level), using more aggregate data (regional-level). The disaggregation procedure requires two steps. The first step consists in specifying and estimating a dynamic model of land use at the regional level. In the second step, we disaggregate outcomes of the aggregate model using maximum entropy (ME). The ME disaggregation procedure is applied to a sample of California data. The sample includes 6 districts located in Central Valley and 8 possible crops, namely: Alfalfa, Cotton, Field, Grain, Melons, Tomatoes, Vegetables and Subtropical. The disaggregation procedure enables the recovery of land use at the district-level with an out-sample prediction error of 16%. This result shows that the micro behavior, inferred from aggregate data with our disaggregation approach, seems to be consistent with observed behavior.
Tipo:  Conference Paper or Presentation
Idioma:  Inglês
Identificador:  21483

http://purl.umn.edu/24961
Editor:  AgEcon Search
Relação:  European Association of Agricultural Economists>2002 International Congress, August 28-31, 2002, Zaragoza, Spain
Contributed Paper
Formato:  31

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