• The Korean Journal of Applied Statistics
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• v.27 no.7
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• pp.1243-1255
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• 2014

This study is aimed at developing an index and indicator in the light of social factors by analyzing the basic materials on Korean working conditions survey to make it possible to grasp various working environment factors consequent on business type and to judge the industrial safety & health policy of the related area. For the purpose of developing an index, this study was conducted by benchmarking the OECD-suggested index development guidelines and overseas cases of index development. This study suggested indexes related to health by benchmarking OECD's press-state-response model. The press-state health-related indexes specified in Korean working condtions survey were found to consist of physical risk environment, working hours, business environment, and social environment, and its consequent 'state' items were comprised of mental health, physical health, absence from work due to health problems and work satisfaction as health-related items. As a result, it was found that the 'press-state index' for wage worker, regular employee, manager, clerks, expert & related personnel involved, and workers aged under 50 was relatively good; in contrast, the 'press-state index' for people aged over 50, owner-operator, daily job, skilled position in agriculture & fisheries, simple labor service, and apparatus & machines assembly worker was found to be relatively vulnerable.

• 한국노년학
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• v.39 no.3
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• pp.517-529
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• 2019

The study was conducted on the impact of employment types middle and old age group of wage earner on life satisfaction and analyzed by dividing it into variables in the employment types and demographic characteristics. Based on the data for the 12th year of the Korea Welfare Panel Study, 1,244 respondents who answered that the main types of economic activities were 'full-time, temporary, daily wage earners' or 'self-help labor, public labor, and elderly empolyment program in public sector.' among 4,341 people over 55 years of age under the age of 75 as of 2017 standard. The survey covered 1,244 people. By age group, 826 people aged 55-64 (middle-age group) and 418 people aged 65-74(old-age group). Middle age group showed that education level, spouse, health condition, beneficiaries of basic livelihood and average monthly income variables were the factors that influence the satisfaction of life. But The type of employment did not significantly affect. Old age group showed that the higher education level, in spouse with-living or spouse death, the better health condition is perceived, the less experience of beneficiaries of basic livelihood, the higher average monthly income, the more satisfied life is. The survey also found that old-aged people who participate in "self-help labor, public labor, and elderly employment program in public sector" are also found to be more satisfied with their lives. According to these results, policy for the old age group should be focused on hunting and expanding of employment program in public sector for the elderly. In order to boost life satisfaction of the elderly, more intensive vocational education and employment training should be provided.

• Korean Journal of Labor Studies
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• v.24 no.2
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• pp.181-214
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• 2018

This study uses the youth panel survey (YP2007 2th ~ 9th) data of the Korea Employment Information Service to examine the phenomenon of subjective mismatch arising from the youth labor market and analyzed the determinants and wage effects of subjective mismatch. Overall, the analysis showed that the over-education and over-technology of both educational background and technical skill level in the Miss Match significantly decreased, while the lack of education and technology increased rather gradually. Next, the analysis of the determinants of downward employment(Excess of education and technology) showed that males were less likely to be downwardly employed(Excess of education and technology) than females, and in the status of workers, the probability of downward employment of regular and non-wage workers was lower than that of temporary/daily workers. Finally, as a result of estimating the wage effect of the mismatch based on the pooled OLS model and the Panel Fixed Effect model, the mismatch which has the greatest effect on the wage was found to be excessive education, and it has been estimated that youth employees who are over-educated have an average 6.7% lower wages than those who are not. After controlling for the unobserved individual characteristics, they were found to receive a lower wage of 3.2%, and it is estimated that 2.9% for the technical excess mismatch and 2.3% for the major mismatch receive lower wages than the reference group.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.935-946
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• 2016

In this paper, we analyzed wage determinants of the vocational high school graduates utilizing both individual-level and work region-level variables. We formulate the models in the way wage determination has multi-level structure in the sense that individual wage is influenced by individual-level variables (level-1) and work region-level (level-2) variables. To incorporate dependency between individual wages into the model, we utilize hierarchical linear model (HLM). The major results are as follows. First, it is shown that the HLM model is better than the OLS regression models which do not take level-1 and level-2 variables simultaneously into account. Second, random effects on sex, maester dummy and engineering dummy variables are statistically significant. Third, the fixed effects on business hours and mean wage of regular job for level-2 variables are statistically significant effect individual-level wages. Finally, parental education level, parental income, number of licenses and high school grade are statistically significant for higher individual-level wages.

• Journal of the Economic Geographical Society of Korea
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• v.27 no.3
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• pp.155-173
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• 2024

Using Regional Employment Survey, this article analyzes the widening employment gap between Capital and Non-Capital regions since the 2008 global financial crisis through describing the spatial distribution of employment by industry and occupation, calculating the regional downward employment rate of university graduates, and estimating the regional distribution of employment growth in terms of wage distribution, and then statistically analyzes the effect of the declining manufacturing employment in the Non-Capital region since the mid-2010s on total employment change. The results from these analyses are as follows. First, since the mid-2000s, the share of producer services and white-collar jobs has increased in the Capital region. Second, the Non-Capital region has a higher share of non-regular workers relative to wage workers than the Capital region. Third, while the downward employment rate has increased in the Non-Capital region since the mid-2010s, it has risen very modestly or stagnated in the Capital region. Fourth, in terms of wage distribution, the pattern of employment growth since the mid-2010s has been U-shaped, a typical polarized pattern of simultaneous growth in low- and high-wage jobs and decline in middle-wage jobs in the Non-Capital region, while in the Capital region it has been L-shaped with the sides reversed, driven by growth in high-wage jobs. Fifth, this employment polarization in the Non-Capital region since the mid-2010s is associated with employment changes in manufacturing, which accounts for a large share of middle wage jobs. Finally, according to the analysis of the effect of regional manufacturing employment changes on total employment changes since the mid-2010s, declines in manufacturing employment reduce the region's regular employment rate and have a larger negative employment effect in the Non-Capital region. Based on these findings, some policy issues are discussed including the branch plant economy regime based on spatial separation of conception and execution, the mix of geographic and skill mobility, the need to improve employability and jobs through human capital accumulation, and short- and long-term responses to employment fluctuations.