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Persistent link: https://www.econbiz.de/10010881390
This study investigates empirical methods of generating prediction intervals for WASDE forecasts of corn, soybean, and wheat prices over the 1980/81 through 2006/07 marketing years. Empirical methods use historical forecast errors to estimate forecast error distributions, which are then used to...
Persistent link: https://www.econbiz.de/10010909508
This study assesses the economic impact of the Electronic Trade Platform MarketMaker on agricultural producers. Results obtained using contingent valuation techniques indicate that producers are willing to pay $47.02 annually for the services they receive from the platform. Producers’...
Persistent link: https://www.econbiz.de/10010914986
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This study analyses the economic value of various components of the Certified South Carolina Grown Campaign from the perspective of participating restaurants. A stated-preference choice experiment was conducted as part of the restaurant survey to estimate the willingness to pay (WTP) for each...
Persistent link: https://www.econbiz.de/10010916468
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The purpose of this study was to examine the impact of situation and outlook information from World Agricultural Supply and Demand Estimates (WASDE) in corn and soybean futures markets over the period 1985 to 2006. Results indicate that WASDE reports containing National Agricultural Statistics...
Persistent link: https://www.econbiz.de/10005320841
This study analyses the variables that affect the option premium levels in an attempt to identify a period in time that would be considered "preferred" for the purchase of a December put option contract for corn and cotton. The daily futures and options data from January 1990 to October 2005...
Persistent link: https://www.econbiz.de/10005330827
Conventional procedures for calculating confidence limits of forecasts generated by statistical models provide little guidance for forecasts based on a combination or a consensus process rather than formal models, as is the case with US Department of Agriculture (USDA) forecasts. This study...
Persistent link: https://www.econbiz.de/10009279593