A DECOMPOSED REGRESSION MODEL FOR MEASURING STRUCTURAL CHANGES IN THE FLOUR MILLING INDUSTRY

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dc.creatorKim, C.S.
dc.creatorHallahan, Charles B.
dc.creatorSchaible, Glenn D.
dc.creatorLeath, Mack N.
dc.date2017-04-01T14:07:48Z
dc.date.accessioned2026-07-09T03:37:08Z
dc.descriptionThis paper presents a decomposed Poisson regression model based on count data that evaluates the size distribution, the changing number of flour mills for each size class, and the concentration of market power, simultaneously. This model also allows us to test dominant price leadership model.
dc.identifierdoi:10.22004/ag.econ.21834
dc.identifierhttps://ageconsearch.umn.edu/record/21834/files/sp00ki03.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/21834
dc.identifier.urihttp://hdl.handle.net/123456789/536663
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/21834
dc.titleA DECOMPOSED REGRESSION MODEL FOR MEASURING STRUCTURAL CHANGES IN THE FLOUR MILLING INDUSTRY
dc.typeText

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