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Demand Analysis for Shrimp in the United States AgEcon
Zhou, Xia (Vivian); Shaik, Saleem.
This paper analyzes the demand for shrimp along with beef, pork, and chicken in the US food market, which contributes much to predicting supply strategies, consumer preferences and policy making. It focuses on the own and cross relationship between the expenditure share and price, income changes. An Almost Ideal Demand System (AIDs) model and two alternative specifications are used to estimate a system of expenditure share equations for shrimp, beef, pork, and chicken. Empirical results indicated that some insignificant slope coefficients and inappropriate signs of them did not comply with microeconomic theory. This could be caused by heteroscedasticity, autocorrelation, a limitation in the data used, or shrimp is a commodity that is quite different.
Tipo: Conference Paper or Presentation Palavras-chave: Expenditure share; Own and cross relationship; Almost Ideal Demand System (AIDs); Heteroscedasticity; And autocorrelation; Demand and Price Analysis.
Ano: 2008 URL: http://purl.umn.edu/6524
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EXAMINATION OF ALTERNATIVE HETEROSCEDASTIC ERROR STRUCTURES USING EXPERIMENTAL DATA AgEcon
Mjelde, James W.; Capps, Oral, Jr.; Griffin, Ronald C..
Impacts of alternative specifications for heteroscedastic error structures are examined by estimating various production functions for corn in Central Texas. Production- and profit- maximizing levels of input and the shape of the profit equation obtained from models not corrected for heteroscedasticity differed from those obtained from models corroded for heteroscedasticaity. Using the profit-maximizing input levels for each production function gave essentially the same estimated yield and profit, regardless of the specification for heteroscedasticity employed. Differences of up to one-quarter to one-third are noted, however, in the amount of profit-maximizing levels of input used, depending on the heteroscedasticity correction.
Tipo: Journal Article Palavras-chave: Corn; Heteroscedasticity; Production function; Research Methods/ Statistical Methods.
Ano: 1995 URL: http://purl.umn.edu/15329
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Estimating Farm Efficiency in the Presence of Double Heteroscedasticity Using Panel Data AgEcon
Hadri, Kaddour; Guermat, Cherif; Whittaker, Julie.
The accuracy of technical efficiency measures is important given the interest in such measures in policy discussions. In recent years the use of stochastic frontiers has become popular for estimating technical inefficiency, but estimated inefficiencies are sensitive to specification errors. One source of such errors is heteroscedasticity. This paper addresses this issue by extending the Hadri (1999) correction for heteroscedasticity to stochastic production frontiers and to panel data. It is argued that heteroscedasticity within an estimation can have a significant effect on results, and that correcting for heteroscedasticity yields more accurate measures of technical inefficiency. Using panel data on cereal farms, it is found that the usual technical...
Tipo: Journal Article Palavras-chave: Stochastic frontier production; Heteroscedasticity; Technical efficiency; Panel data; Farm Management; Research Methods/ Statistical Methods; C23; C24; D24; Q12.
Ano: 2003 URL: http://purl.umn.edu/43994
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PARAMETRIC MODELING AND SIMULATION OF JOINT PRICE-PRODUCTION DISTRIBUTIONS UNDER NON-NORMALITY, AUTOCORRELATION AND HETEROSCEDASTICITY: A TOOL FOR ASSESSING RISK IN AGRICULTURE AgEcon
Ramirez, Octavio A..
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...
Tipo: Journal Article Palavras-chave: Agricultural risk analysis; Autocorrelation; Heteroscedasticity; Multivariate non-normal simulation; West Texas agriculture; Research Methods/ Statistical Methods; Risk and Uncertainty.
Ano: 2000 URL: http://purl.umn.edu/15486
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