A method was developed with time series models to test hypotheses about the relationship between market structure and spatial price dynamics. Long-run dynamic multipliers measuring the magnitude of lagged adjustments for spatial milled rice prices were calculated from the time series model and...

U S grain prices affect one another This study uses Haugh-Pierce chi-square tests, bivariate autoregressive models, and dynamic multipliers to measure the extent of these effects Rice prices exhibit very little reaction to changes in other grain prices However, other grain prices relate closely...

This article analyzes the dynamic relationships among weekly prices of price byproducts, long gram rice, and corn, using causality tests and dynamic multipliers The authors use forecasts to evaluate the time series model rice byproducts prices may be influenced more by shifts 10 demand than 10...

Quality discounts and premiums for rough rice in Texas rice bid/acceptance markets are analyzed. The most important quality factors determining the value of rough rice are head yield and peck. A one percentage point reduction in peck damage raises the price received per hundredweight of rough...

Monthly, quarterly, and annual cross-sectional and time-series data for the period 1982-85 were analyzed to identify factors affecting terminal market price for four types of fresh potatoes. Results indicated that state of origin, terminal market package type, and season of marketing were...

A structural model of the spring onion economy is developed to analyze forces affecting the onion-producing sector in Texas. Spring onion prices in Texas are influenced by own shipments, shipments from storage stocks, and variety. Texas's decline in market share is largely the result of expanded...

This study was funded by the the University Transportation Center for Mobility, Texas Transportation Institute