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http://dx.doi.org/10.7465/jkdi.2017.28.4.853

The determinants of the youth employment rate using panel tobit model  

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 (Division of Mathematics and Applied Statistics, Kyungsung University)
Publication Information
Journal of the Korean Data and Information Science Society / v.28, no.4, 2017 , pp. 853-862 More about this Journal
Abstract
In this study, we analyse the determinants of the youth employment rate of public agencies and local public enterprises. On the other hand the youth employment rate contains information of the youth employment rate and the size of the youth employment. We use pooled tobit model and panel tobit model since dependent variable is a censored form observed only in a certain area. The results of the analysis are summarized as follows. First, the panel tobit model is more statistically significant as compared to the combined tobit model. Second, the youth employment rate is more statistically significantly higher in 2014 and 2015 than in 2011. Third, the youth employment rate in public enterprises is more statistically significantly higher than that in local public agencies. Finally, the higher the average wage is, the lower the youth employment ratio is.
Keywords
Censored data; heterogeneity; marginal effect; panel tobit model; pooled tobit model;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Amemiya, T. (1984). Tobit models : A survey. Journal of Econometrics, 24, 3-61.   DOI
2 Goldberger, A. S. (1964). Economic theory, Wiley, New York.
3 Green, W. (2003). Econometrics (5th edition), Prentice hall, Upper Saddle river, New Jersey.
4 Heckman, J. J. (1976). The common structure of statistical models of truncation, sample selection and limited dependent variables and a simple estimator for such models. Annals of Economic and Social Measurement, 5, 475-492.
5 Im, K. H. and Lee, D. J. (2009). Analysis on the youth employment trends and evaluation on the employment policy (& program) in Jeonbuk province. The Korean Association for Local Government & Administration Studies, 23, 89-114.
6 Kim, G. S. and Chung, M. S. (2013). The Determinants of the out-migration of human capital in Busan metropolitan area in Korea. Journal of Korean National Economy, 37, 103-130.
7 Park, S. I. and Cho, J. S. (2015). The study on the determinants of the number of job changes. Journal of the Korean Data & Information Science Society, 26, 387-397.   DOI
8 Park, S. I. and Cho, J. S. (2016). Study on the determinants of employment duration in the youth-intern project. Journal of the Korean Data & Information Science Society, 27, 285-294.   DOI
9 Ryu, J. S., Park, S. I., Cho, J. S., Kim, J. H. and Kwak, S. H. (2013). The Determinants on the Employment of Local Brains in the Public Sectors. Korean Journal of Industrial Relations, 23, 119-143.
10 Ryu, J. S., Park, S. I., Cho, J. S. and Kwak, S. H. (2016). Study on employment impact assessment of the quota system for the employment of youths, Ministry of Employment and Labor.Korea Labor Institute, Sejong.
11 Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica, 26, 24-36.   DOI
12 Wooldridge, J. M. (2002). Econometric analysis of cross section and panel data, MIT Press, Cambridge MA.
13 Yang, J. Y. and Jeong, H. J. (2016). A study exploring the determinants of youth employment. Korean Journal of Public Administration, 54, 199-224.