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Market Structure and Spatial Price Dynamics

Published online by Cambridge University Press:  05 September 2016

B. Wade Brorsen ,
Jean-Paul Chavas  and
Warren R. Grant
B. Wade Brorsen
Affiliation:
Oklahoma State University
Jean-Paul Chavas
Affiliation:
University of Wisconsin
Warren R. Grant
Affiliation:
National Economics Division, ERS/USDA
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Abstract

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 adjustment for spatial milled rice prices were calculated from the time series model and used as the dependent variable in a regression model that included a number of factors expected to influence price determination. Results show that price adjustments were slower as regional submarket concentration increased and were faster in the regions with a higher market share. Arkansas, the state with the largest market share, was consistently a price leader.

Keywords

ricemarket structurespatial pricing
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 23 , Issue 2 , December 1991 , pp. 65 - 74
Copyright
Copyright © Southern Agricultural Economics Association 1991

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