A decomposed negative binomial model of structural change

A theoretical and empirical application to U.S. agriculture

C. S. Kim, G. Schluter, G. Schaible, Ashok Mishra, C. Hallahan

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

We developed a single-equation decomposed negative binomial regression model (NBRM) of the U.S. farm sector to simultaneously evaluate structural changes in the U.S. agricultural sector and the strength of several economic forces that influenced the changes in farm structure during the 1960-96 period. We found all these forces reinforced economic incentives to increase the size and decrease the number of small farms. Only agricultural programs and machinery prices countered these forces.

Original languageEnglish (US)
Pages (from-to)161-176
Number of pages16
JournalCanadian Journal of Agricultural Economics
Volume53
Issue number2-3
DOIs
StatePublished - Jun 2005
Externally publishedYes

Fingerprint

Statistical Models
Agriculture
structural change
farm
agriculture
Economics
farm structure
economic incentives
small farms
agricultural industry
machinery
Motivation
economics
farms
Farms
Structural change
Binomial model
Negative binomial
Farm
Regression model

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)

Cite this

A decomposed negative binomial model of structural change : A theoretical and empirical application to U.S. agriculture. / Kim, C. S.; Schluter, G.; Schaible, G.; Mishra, Ashok; Hallahan, C.

In: Canadian Journal of Agricultural Economics, Vol. 53, No. 2-3, 06.2005, p. 161-176.

Research output: Contribution to journalArticle

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