Logit & Robust 회귀모형을 활용한 고용생산성 결정요인연구

Research on the Determinants of Employment Productivity Utilizing Logit & Robust Regression Model - With Focus on the 10th Korean Labor Panel Data -

The source of national wealth creation is humans and no matter how much research and development investment is made without humans, it cannot be represented in the form of knowledge and technology. In other words, to enhance the productivity to raise the competitiveness of either the country or enterprises, it is necessary to deal with employment productivity of human resources. Up to now, employment productivity has not yet been clearly defined, but it is defined from the aspects that increase in income along with employment stability reinforces social stability and social and economic vitalization, and setting the variables related to employment productivity, which is dealt with through the theories, as the independent factors, the analysis was conducted. The results of the analysis are as follows. First, it was confirmed that educational background and age had effects not only on employment status such as finding jobs but on the stability and continuity of actual employment. Second, in the case of gender, unlike general viewpoint that males are relatively higher in employment stability and permanent employment status, the results of this research supported the results of the past researches that females are higher in employment productivity than males. Third, it was confirmed that the vocational training factors (vocational training experience and vocational training intention) had positive effects on employment productivity. Particularly, it was confirmed that these factors had positive effects on the probability of becoming permanent job status and also contributed positively to the annual income level. Since the vocational training factor is clearly an important variable that has effects on employment productivity, it is necessary to supplement and maintain it systematically.