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http://dx.doi.org/10.7465/jkdi.2015.26.2.387

The study on the determinants of the number of job changes  

Park, Sungik (International Trade and Commerce, Kyungsung University)
Ryu, Jangsoo (Division of Economics, Pukyong National University)
Kim, Jonghan (Division of Economics, Finace and Logistics, Kyungsung University)
Cho, Jangsik (Department of Informational Statistics, Kyungsung University)
Publication Information
Journal of the Korean Data and Information Science Society / v.26, no.2, 2015 , pp. 387-397 More about this Journal
Abstract
In this paper, the determinants of the number of job changes in the SMEs (small and medium enterprises) youth-intern project is analysed, utilizing SMEs youth-intern DB and employment insurance DB. Since the number of job changes are count data which take integer values other than negative values, general linear regression analysis becomes inappropriate. Therefore, four models such as Poisson regression model, zero inflated Poisson regression model, negative binomial regression model and zero inflated negative binomial regression model are tried to fit count data. A zero inflated negative binomial regression model is selected to be the best model. Major results are the followings. First, the number of job changes is shown to be significantly smaller in the treatment group than in the control group. Second, the number of job changes turns out to be significantly smaller in the young-age group than in the old-age group. Third, it is also shown that the number of job changes of man is significantly greater than that of woman. Lastly, the number of job changes in the bigger firm is shown to be significantly less than that of the smaller firm.
Keywords
Multiple correspondence analysis; negative binomial regression model; overdispersion; Poisson regression model; zero inflation;
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Times Cited By KSCI : 12  (Citation Analysis)
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