• Journal of Labour Economics
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• v.43 no.2
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• pp.75-107
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• 2020

Using the data from 1980 to 2017, I show the long-term trends in the gender wage gap in Korea and analyze factors using decomposition method. It tended to decline until the 1990s, but gradually slowed after the 2000s. Gelbach(2016)'s decomposition method is used as an alternative rather than Blinder-Oaxaca decomposition. The results show that the proportion of explanation of traditional factors, such as age, education, firm size, industry and occupation, are continuously decreasing in explaining the gender wage gap. Expecially, the proportion of explanation of age and that of education have decreased, and that of industry tended to decrease in the 1990s but to increase after the 2000s.

• Journal of Labour Economics
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• v.40 no.1
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• pp.69-97
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• 2017

This paper estimates the public and private sector wage gap trend from 2000 to 2014 using 'Korean Labor and Income Panel Study.' We account for unobserved fixed effect by using 1st differencing log wage in order to allow the gap to vary over time. Standard OLS estimates present the public sector wage is 10% higher than private sector on average. Moreover, the public sector wage premium displays the inverted V shape: sharply increasing up to 2006 and decreasing from 2007 to 2014. However, after controlling unobserved fixed effect, the public sector wage premium disappears and does not display the inverted V shape any more.

• Journal of Labour Economics
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• v.40 no.4
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• pp.1-31
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• 2017

Recent empirical studies highlight the importance of between-firm or between-establishment factors in rising wage inequality. Examining the establishment-level data from the Mining and Manufacturing Survey of 2000-14, this paper finds that overall between-establishment wage dispersion has increased in Korea. However, unlike other OECD countries, the divergence occured in the lower tail of the wage distribution. Dispersion in labor productivity exhibits a similar movement, therefore explains the widening wage dispersion. In contrast, the link between wages and total factor productivity is much weaker, which appears to be associated with inefficient capital reallocation. I also find much heterogeneity in the productivity-wage relationship across productivity distribution. The most productive establishments turn the smallest portion of productivity gains into wage increases.

• Journal of Labour Economics
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• v.37 no.4
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• pp.113-141
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• 2014

This paper examines the occupational gender wage gap in the Korea labor market. This paper classifies occupations into three(the blue-collar profession, white-collar profession and female-dominated profession) according to job characteristics and female worker's ratio. To analyze occupational gender wage gap, this paper uses Mincer's wage equation(1974) and Oaxaca model(1973). The results are listed below. First, the gender wage gap is growing in all occupations. Second, the cause of increasing gender wage gap varies in different occupations.

• Journal of Industrial Convergence
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• v.18 no.2
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• pp.19-26
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• 2020

This study analyzed the status and trend of gender wage gap among listed companies in KOPSI market over the 2000-2017 period. The main results of the study are as follows. First, the gender employment gap index for KOSPI listed companies stood at 39.81 in 2017, with 40 women per 100 men being employed. Although the absolute value of the proportion of female employment remains low, it has not only been higher than 33.74 in 2000 but has also increased steadily in recent years. In terms of the number of years of service, the average number of male employees in 2017 was 9.9 years, compared with 6.9 years for female employees, and the gender tenure gap decreased over the past few years. Finally, The gender wage gap index increased from 60.57 in 2000 to 67.87 in 2017. In addition, there are slight variations in the size of the company or industry, but consistent results have shown that the gender wage gap decreases in recent years. The findings suggest that our society is developing in a way that reduces the gender employment gap and the gender wage gap.

• Journal of Labour Economics
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• v.31 no.3
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• pp.75-105
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• 2008

This paper examines the changes over lime in union relative wage effects during the period of 1988 and 2007. The union wage premium was 3.4 percent in average during the last 20 years. It has fallen in the boom years up to the mid-1990s, but has rapidly risen since the Asian financial crisis of 1997. Time series evidence suggests that the union wage premium is counter-cyclical, which means that it responds to economic conditions with a reverse direction. There has been also a fast increase in the unadjusted wage gap relative to regression-adjusted wage gap during the last 10 years in particular, implying favorable changes in the selection of workers into unionized companies.

• Journal of Labour Economics
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• v.29 no.1
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• pp.1-39
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• 2006

This paper documents the increase in earnings variability (or earnings risk) during the 1990s in Korea, and investigates whether it can be accounted for by capital market opening. The variances of transitory and permanent innovations in earnings are estimated from repeated cross-section data using a simple econometric framework. The increasing time-series pattern of earnings risk among men follows the increased foreign capital presence reasonably well, but the supporting cross-sectional evidence for a causal relationship between the two is weak. However, foreign direct investment (FDI) is found to have had some non-neutral effects on workers of varying skills in such a way that transitory earnings risk of less-skilled workers relatively increased with FDI. To the extent that transitory innovations are not fully insured, this widening effect of FDI on earnings risk gap may have contributed to widening welfare gap between skilled and unskilled workers in Korea, at least in terms of "risks."

• Economic Analysis
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• v.26 no.2
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• pp.43-71
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• 2020

This paper aims to derive macroeconomic implications by analyzing the business cycle characteristics of the youth unemployment. The results of empirical analysis seem to show that youth unemployment appears to be relatively less correlated with business cycle compared to other age groups, and thus it is difficult to explain the recent steady increase in the potential labor force as a result of the business cycle fluctuation alone. Moreover, the alternative unemployment measures of the youth group showing upward trend were estimated to be co-integrated with output measures. This co-integrated trend increase suggests that unlike other age groups, youth may be influenced by structural factors inherent in Korea's economic growth path. The fact that the wage difference based on firm size has widened steadily since the Asian financial crisis and that the proportion of large companies that provide relatively high-quality jobs compared to major industrialized countries is significantly lower may be the evidence of the structural changes in Korean youth labor market. The results of above analysis may explain why the job search periods for youth has lengthened amid these structural changes.

• 재활복지
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• v.22 no.3
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• pp.23-39
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• 2018

The fourth industrial revolution and technological innovation will make the job factor of people with disabilities complicated and difficult. Thus, this study analyzed the technical factors influencing the job structure and tried to find a way to develop the job of the people with disabilities in response to the 4th Industrial Revolution by changing the labor market and changing the trend of the employment by industry. The methods for this study are literature research and FGI. First, technological factors affecting the job structure of the Fourth Industrial Revolution are artificial intelligence, Internet and networking of things, 3D printing, big data, Second, technological innovation due to the industrial revolution was a major factor in the job structure. As the industrial revolution and technological innovation progressed, the job structure shifted rapidly from the manufacturing industry to the service industry, Third, as the measures of the 4th Industrial Revolution and the change of the job structure, it is necessary to make preemptive investment for the development of competency to cope with technological innovation, Finally, in order to respond to the Fourth Industrial Revolution and the rapidly changing technological innovation, the basic data of people with disabilities should be able to be big data.

• Journal of Labour Economics
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• v.27 no.1
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• pp.107-134
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• 2004

This paper attempts to find out the economic roots of the increasing tendency not to choose the science and engineering (S&E) fields in the colleges. The analysis shows that the relative economic position of the S&E graduates measured in terms of employment quality is not significantly different from that of the non-S&E graduates. But the S&E graduates earn relatively low wage and self-employment income. Furthermore, the relative income of the top 5% bracket of the S&E graduates has been declining in the recent five years. The paper concludes that low relative income of the average S&E graduates as well as the increasingly lower relative income of the most able S&E personnel, coupled with the increasing compensating differential required for the S&E jobs, is the main reason for the 'avoidance' phenomenon of the S&E fields.