Structuring State Intervention Policies to Boost Rice Production by Multinomial Logistic and Ordinal Regression Application and Multicollinearity Cautiousness

Abstract

To structure state interventions policies to develop production of rice in Iran; developing two indexes to measure level of rice production development in dichotomous and categorical level; ordinal and multinomial logistic regression application are implicated to test the model by predictor variables in proposed policy structure. Taking extra care on Multicollinearity (MC), appropriate treatment by calculating Tolerance and Variance Inflation Factor (VIF) is performed. This is to test the fitness of the model by real data from the field, and to evaluate state intervention policies and plans, given this fact if the model fits at this stage, then it merits for further analysis to light up casual relationships among the effective factors on rice production development in Iran.