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The job match determinants using Heckman’s sample selection model
Journal of the Korean Data & Information Science Society 2018;29:1169-77
Published online September 30, 2018
© 2018 Korean Data and Information Science Society.

Jangsik Cho1

2Division of Mathematics and Applied Statistics, Kyungsung University
Correspondence to: Professor, Division of Mathematics and Applied Statistics, Kyungsung University, Busan, 48434, Korea. E-mail :
This research was supported by Kyungsung University Research Grants in 2017.
Received July 26, 2018; Revised August 10, 2018; Accepted August 20, 2018.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
In this paper, we analyzed characteristic variables of college graduates affecting job match. In general, job match contain two complex pieces of information about employment status of individual and job match size. We used the Heckman’s sample selection models utilizing the data of 「2014 Graduates Occupational Mobility Survey」conducted by Korea Employment Information Service. The main results are summarized as follows. First, Heckman’s sample selection model is statistically significant. Second, male is significantly higher in probability of employment and significant lower in the size of job matching than female. As age increases, the probability of employment is higher and the size of job matching is higher. Finally, as the grade point average increases and the number of licenses increased, the probability of employment tends to increase, but the size of job matching tends to decrease.
Keywords : Censored data, Heckman’s sample selection model, job match, sample selection bias.