Markov process models: an application to the study of the structure of agriculture

Steven E. Zumbach

ISU General Staff Papers from Iowa State University, Department of Economics

Abstract: Factors which affect the number and size of farm firms were identified and analyzed in the context of the micro-economic theory of the firm. Historical changes in the structure of the agriculture industry were analyzed by summarizing changes in farm numbers by size class, tenure arrangement, organizational structure, vertical coordination, and purchased inputs;A detailed discussion of the underlying theory of a Markov process and an outlining of the Markov process model which could be used to study the structure of agriculture industry was presented. The results of the application of both a stationary and nonstationary Markov process model were analyzed. The structure of agriculture is characterized by a nonstationary Markov process.

Date: 1980-01-01
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