Data/hora: 07/06/2024 03:31:48

Provedor de dados: | 31
País: | United States
Título: | PARAMETRIC MODELING AND SIMULATION OF JOINT PRICE-PRODUCTION DISTRIBUTIONS UNDER NON-NORMALITY, AUTOCORRELATION AND HETEROSCEDASTICITY: A TOOL FOR ASSESSING RISK IN AGRICULTURE
Autores: | Ramirez,   Octavio A.
Data: | 2003-06-09
Ano: | 2000
Palavras-chave: | Agricultural risk analysis; Autocorrelation; Heteroscedasticity; Multivariate non-normal simulation; West Texas agriculture; Research Methods/ Statistical Methods; Risk and Uncertainty.
Resumo: | This study presents a way to parametrically model and simulate multivariate distributions under potential non-normality, autocorrelation and heteroscedasticity and illustrates its application to agricultural risk analysis. Specifically, the joint probability distribution (pdf) for West Texas irrigated cotton, corn, sorghum, and wheat production and prices is estimated and applied to evaluate the changes in the risk and returns of agricultural production in the region resulting from observed and predicted price and production trends. The estimated pdf allows for time trends on the mean and the variance and varying degrees of autocorrelation and non-normality (kurtosis and right- or left-skewness) in each of the price and production variables. It also allows for any possible price-price, production-production, or price-production correlation.
Tipo: | Journal Article
Idioma: | Inglês

Identificador:

9436

http://purl.umn.edu/15486

Editor: | AgEcon Search
Relação: | Journal of Agricultural and Applied Economics&gt;Volume 32, Number 02, August 2000

Formato:

15

application/pdf