Statistical modeling in agriculture for structural change

RESEARCH ARTICLE: 
Rajani, M., Damodharan, S., Hussain Saheb and Dr. Subbarayudu, M.

A statistical model is assumed for testing the structural change in agricultural data in different time periods (2000-2007 and 2008-2015) and in different regions (states) using G.C.Chow test (1960) and Damodar Gujarati dummy variable approach (1970) to analyze the data relating to India ,Andhra Pradesh, Karnataka and Tamil Nadu. Chow test is general in nature, it merely tells whether the regressions are different or not without specifying whether the differences if any is due to difference in intercept terms or due to difference in the coefficients of particular explanatory variables. Dummy variable approach clearly explains the differences if any in intercept terms or in slope coefficients.

Paper No: 
1508
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