MARKET STRUCTURE AND SPATIAL PRICE DYNAMICS

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 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


Issue Date:
1991-12
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/30057
Published in:
Southern Journal of Agricultural Economics, Volume 23, Number 2
Page range:
65-73
Total Pages:
9




 Record created 2017-04-01, last modified 2017-10-21

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