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The determinants of the youth employment rate using panel tobit model
Journal of the Korean Data & Information Science Society 2017;28:853-62
Published online July 31, 2017
© 2017 Korean Data & Information Science Society.

Sungik Park1 · Jangsoo Ryu2 · Jonghan Kim3 · Jangsik Cho4

1International Trade and Commerce, Kyungsung University
2Division of Economics, Pukyong National University
3Division of Economics, Finace and Logistics, Kyungsung University
4Division of Mathematics and Applied Statistics, Kyungsung University
Correspondence to: Jangsik Cho
Professor, Division of Mathematics and Applied Statistics, Kyungsung University, Busan, 48434, Korea. E-mail : jscho@ks.ac.kr
Received June 22, 2017; Revised July 10, 2017; Accepted July 19, 2017.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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