MULTIVARIATE REGRESSION ANALYSIS WITH KICC METHOD IN MEASURING OF SOCIETY WELFARE IN SOUTH SULAWESI

D. Didiharyono, M. Marsal, N. Nasruddin

Abstract


The level of society welfare is a shared hope in advancing a region. The welfare indicators of an area depend on economic growth that affects the income level and the level of regional development progress. The aim of this study is to determine the multivariate regression analysis in measuring level of the society welfare and know the factors that affect the level of society welfare in South Sulawesi. The research method used is applied research multivariate regression analysis with selection the smalles KICC (Kullback’s Information Criterion Corrected) value on the economic field.The result of multivariate regression analysis with KICCmethod that the correlation between the predictor variables of income percentage from taxes, retribution, acceptanceof natural resource, investment, balancing fund and development fund to the percentage of regional income, economic growth, significant simultaneously. While partially, the results of acceptanceof natural resource do not significantly affect the percentage of regional income, economic growth and the level of regional progress, so that regional income from the natural resource results needadded again in improving public's welfare. The level of accuracy of information data predictor variable to respont variabel in the multivariate regression isor 97,29%.  


Keywords


multivariate regression, KICC method, society welfare

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