thesis

Application of Multinomial and Ordinal Regressions to the Data of Japanese Female Labor Market

Abstract

This paper describes the application of ordered and unordered multinomial approaches to Japanese Female Labor Market data with the goal of examining how inter-organizational networks linking schools to large corporations supersede labor market processes in the Japanese female labor market. Two sets of response categories were used for a proportional odds model, a non-proportional odds model, and a multinomial logit model. The results from the six combinations of these models were compared in terms of their goodness of model fit. The results showed that the proportional odds assumption was weakly supported, and the Wald test indicates that the violation of proportional odds assumption seems to be limited to a single variable. My study implies that partially proportional odds model would yield a better fit to my female labor market data

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