- Volume 25 Issue 6
Each year research institutions such as the Korea Employment Information Service(KEIS), a government institution established for the advancement of employment support services, and Job Korea, a popular Korean job website, announce first job waiting times after college graduation. This provides useful information understand and resolve youth unemployment problems. However, previous reports deal with the time as a completely observed one and are not appropriate. This paper proposes a new study on first job waiting times after college graduation set to 4 months prior to graduation. In Korea, most college students hunt for jobs before college graduation in addition, the full-fledged job markets also open before graduation. In this case the exact waiting time of college graduates can be right-censored. We apply a Cox proportional hazards model to evaluate the associations between first job waiting times and risk factors. A real example is based on the 2008 Graduates Occupational Mobility Survey(GOMS).
The time to get first job after graduation of college;variable selection;Cox's Proportional Hazard model;survival analysis
- Achen, C. H. (1982). Interpreting and Using Regression, Sage Publications, 76-89.
- Agresti, A. (2007). An Introduction to Categorical Data Analysis, John Wiley & Sons, New York.
- Akaike, H. (1973). Information Theory and an Extension of the Maximum Likelihood Principle, Second International Symposium on Information Theory, 267-281, Akademiai Kiado, Budapest.
- Akaike, H. (1974). A new look at the statistical model identification, IEEE Transactions on Automatic Control, 19, 716-723. https://doi.org/10.1109/TAC.1974.1100705
- Buckland, S. T., Burnham, K. P. and Augustin, N. H. (1997). Model Selection: An integral part of inference, Biometric, 53, 603-618. https://doi.org/10.2307/2533961
- Cox, D. R. (1972). Regression models and life tables(with discussion), Journal of the Royal Statistical Society, B, 34, 187-220.
- Cox, D. R. (1975). Partial likelihood, Biometrika, 62, 269-276. https://doi.org/10.1093/biomet/62.2.269
- Frisch, R. (1934). Statistical Con uence Analysis by Means of Complete Regression Systems, Institute of Economics, Oslo University Publish, 5.
- Jo, M. S. (2009). An Empirical Study on the School to Work Transition of College Graduates: Determinants of Success Rate, Duration, and Wage Differential, Degree of Master, Inha University.
- Kaplan, E. L. and Meier, P. (1958). Nonparametric estimation from incomplete observations, Journal of the American Statistical Association, 53, 457-481. https://doi.org/10.1080/01621459.1958.10501452
- Konishi, S. and Kitagawa, G. (2008). Information Criteria and Statistical Modelling, Springer-Verlag, New York.
- Park, S. J. (2005). The status of youth unemployment and its causal analysis, Korea Economic Research Institute Policy Report.
- Schwarz, G. (1978). Estimating the dimension of a model, Annals of Statistics, 6, 290-301.
- Shtatland, E. S., Cain, E. M. and Barton, M. B. (2001). The perils of stepwise logistic regression and how to escape them using information criteria and the Output Delivery System, SUGI'26 Proceedings, 222-226, Cary, NC: SAS Institute Inc.
- Shtatland, E. S., Kleinman, K. and Cain, E. M. (2005). Model building in proc phreg with automatic variable selection and information criteria, SUGI'30 Proceedings, 206-30, Cary, NC: SAS Institute Inc.
- Volinsky, C. T. and Raftery, A. E. (2000). Bayesian information criterion for censored survival models, Biometrics, 56, 256-262. https://doi.org/10.1111/j.0006-341X.2000.00256.x