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

Kim, C.S.; Hallahan, Charles B.; Schaible, Glenn D.; Leath, Mack N.

doi:10.22004/ag.econ.21834

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

Kim, C.S. ; Hallahan, Charles B. ; Schaible, Glenn D. ; Leath, Mack N.

This 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.

Subject(s):

Agribusiness
Industrial Organization

Issue Date:

2000

Publication Type:

Conference Paper/ Presentation

DOI and Other Identifiers:

10.22004/ag.econ.21834

Record Identifier:

https://ageconsearch.umn.edu/record/21834

PURL Identifier:

http://purl.umn.edu/21834