An Automated Econometric Approach For Estimating And Reporting Daily Cotton Market Prices
An automated price reporting system developed through computer technology and hedonic price theory is used to estimate daily cotton market prices, premiums, and discounts. This objective approach for reporting cotton market prices was developed to complement the objective measures of high volume instrument grading of cotton. The computerized, econometric system is limited to the Texas and Oklahoma marketing regions where sales are readily available from electronic markets. The econometric based system has shown all the characteristics of an efficient price reporting system; it is accurate, reliable, consistent, and repeatable in its working process and price estimates.
Volume (Year): 27 (1995)
Issue (Month): 02 (December)
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- Darren Hudson & Don Ethridge & Jeff Brown, 1996. "Producer prices in cotton markets: Evaluation of reported price information accuracy," Agribusiness, John Wiley & Sons, Ltd., vol. 12(4), pages 353-362.
- Michael T. Belongia, 1988. "Are economic forecasts by government agencies biased? Accurate?," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 15-23.
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- Ethridge, Don E., 1978. "A Computerized Remote-Access Commodity Market: Telcot," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 10(02), December.
- Ethridge, Don E. & Neeper, Jarral T., 1987. "Producer Returns From Cotton Strength And Uniformity: An Hedonic Price Approach," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 19(01), July.
- Holden, K & Peel, D A, 1990. "On Testing for Unbiasedness and Efficiency of Forecasts," The Manchester School of Economic & Social Studies, University of Manchester, vol. 58(2), pages 120-27, June.
- Brown, Jeff E. & Ethridge, Don E., 1995. "Functional Form Model Specification: An Application To Hedonic Pricing," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 24(2), October.
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