• Journal of Labour Economics
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• v.42 no.1
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• pp.73-105
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• 2019

In this paper, we investigated the impacts of minimum wage on the working hours and labor income of wage earners considering coverage of minimum wage. The results show that the increase in the proportion of workers influenced by the minimum wage in the industry has a negative effect on the average monthly working hours and the average monthly salary of workers affected by the minimum wage. This implies that firms try to offset the rise in labor costs caused by increase in the minimum wage by adjusting the working hours of the employees influenced by the minimum wage. Our finding suggests that the minimum wage policy would reduce the labor income of workers affected by the minimum wage.

• Journal of the Korean Regional Science Association
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• v.38 no.2
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• pp.3-20
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• 2022

The purpose of this study is to explore the heterogeneity of compensating wage differentials for outdoor workers, under the threat of climate change and heatwave, by region and by wage quantile. This study conducted Oaxaca-Blinder decomposition, multiple regression analysis by region, and unconditional quantile regression analysis using the Korean Working Conditions Survey, which provides individual-level information on the working environment and worker's characteristics. The implications derived from the results of the study are as follows: For most variables, the endowment effect and the price effect were greater for indoor workers, while experience and gender played a role in narrowing the wage gap; The compensating wage differentials for outdoor workers were confirmed to be 2.4% nationwide, depending on the region however, the compensating wage differentials varied from 5 times of national average to nothing statistically significant; The higher the wage quantile, the greater the compensating wage differentials for outdoor workers, and statistically significant monetary compensation was not identified for some low-level outdoor workers. This study is meaningful as an early study that revealed the heterogeneity of compensating wage differentials for outdoor workers and suggested further research on the topic.

• Journal of Industrial Convergence
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• v.22 no.6
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• pp.41-50
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• 2024

The objective of the study was to explain the effect of job fit on life satisfaction of wage workers and verify the mediating effect of job satisfaction between two variables. For the purpose, 7,202 research subjects were selected from the 23th data of the Korean Labor and Income Panel Study. Selected data was analyzed by various methods including frequency analysis, descriptive statistics analysis, and correlation analysis. Moreover, the mediating effect was verified by applying SPSS Macro Model Number 4 analysis and bootstrapping method. The major findings are as follows. First, job fit of wage workers was shown to enhance their life satisfaction. Second, work satisfaction of wage workers was revealed to play a complete mediating role in the relationship between job fit and life satisfaction of wage workers. On the basis of the results, the various practical programs to increase life satisfaction of wage workers were discussed.

• Journal of Korea Port Economic Association
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• v.35 no.2
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• pp.37-60
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• 2019

An analysis of the correlation in port-related industries between minimum wage and employment effects, showed that it was very insignificant. However, there are some differences between commercial and temporary workers, those that are self-employed, and other workers in the private sector. Thus, while commercial workers are somewhat stable, they have a somewhat negative effect on temporary workers and self-employed people. At the Minimum Wage Council, the minimum wage hike is seen as stable because of the interaction between income and substitution effects in the labor market. According to the analysis, the port-related industries were affected more by the global economic recession and domestic economic volatility than the variables related to the minimum wage hike.

• Journal of Labour Economics
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• v.34 no.2
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• pp.53-77
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• 2011

The last decade has witnessed a surge of research interest in differences between regular and irregular workers in employment forms. Recent studies on estimating wage differentials between the two types of workers in employment forms have typically used the linear regression analysis. Our study utilizes a new methodology to estimate wage differentials between the two types of workers: data matching. Our method can perform better than the ordinary regression analysis because it carefully addresses the selection bias problem. Our results indicate that there is no significant difference in wage between regular and irregular workers.

• Journal of Labour Economics
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• v.43 no.3
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• pp.33-61
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• 2020

The purpose of this study is to analyze the disparity in on-the-job training between regular and non-regular workers and to compare the wage effects of on-the-job training. Using the Korean micro data from the Programme for the International Assessment of Adult Competencies(PIAAC) published by OECD, Propensity Score Method(PSM) is applied to overcome the endogeneity problem. The average treatment effect(ATT) on the training participation is analyzed, using non-regular workers as treatment group and regular workers as comparison group. Odds ratios of non-regular employees' training participation compared to regular employees shows 0.67 times after constructing matching sample and this means that non-regular workers are facing a disadvantageous training opportunity compared to regular workers. In order to estimate the wage effect of on-the-job training, the average treatment effect(ATT) of on-the-job training on average wages for regular workers and non-regular workers is estimated respectively. I find insignificant wage effect from on-the-job training among regular workers and significant positive effect on non-regular worker's wage from on-the-job training.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.1-14
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• 2022

The purpose of this study was to find the wage determinants of web-based platform workers. For this purpose, a total of 3,575 web-based platform workers' information from Freelancer.com, a global platform labor market, in September 2018 were used and whether or not newly available indicators such as evaluations by previous employers had a significant effect on the wage increase of platform workers using OLS and QR methods. As an OLS estimation results, the number of reviews, as well as education and experience, affects the wages of platform workers. However, as a result of the QR estimation, experience rather than education, recommendation rather than a review has a more significant effect on the wage of web-based platform workers as the wage level rises.

• Journal of Labour Economics
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• v.44 no.2
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• pp.71-90
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• 2021

This paper examines the effects of COVID-19 on the working hours and wages by employment types of wage workers. Using the Economically Active Population Survey-Supplementary Survey by Employment Types(2017-2020), I found that due to COVID-19, non-regular workers reduced their working hours more than regular workers, shrinking their opportunities to generate wage income. During the same period, the working hours and wage gap between new regular and non-regular workers widened, this was largely in part-time and short-term workers. As the working conditions change based on the initial level, these results show that efforts to improve their(new and short term workers) working conditions can contribute to mitigating labor market inequality.

• The Journal of Information Technology
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• v.3 no.2
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• pp.23-37
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• 2000

This study examines the effect of trade union on the structure of wage determining and the variance of wage in manufacturing and non-manufacturing, 1993, in Korea It finds that the wage determining mechanism is significantly different between union and nonunion establishments, and that the wage inequality is too significantly lower among workers in establishments that are unionized than among those that are not. However, it is not clear whether the union wage policies designed to standardize rates have the effects of reduction in wage variance. that is mostly because of smaller variance within unionized workers having the same wage determining characteristics.

• Journal of Korean Society of Forest Science
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• v.112 no.2
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• pp.217-229
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• 2023

Forest projects often apply construction industry labor rates, without considering the demanding work conditions and labor intensity unique to forest operations, resulting in workplace issues. This study aims to analyze forest operations' characteristics and wage survey methods in other fields to establish a framework for surveying the wages of forest workers. The developed framework was tested through direct surveys conducted with all forest operation companies. Survey items included actual wages by occupation, identification and removal of outliers using quartile deviation, and occupation-based wage calculation. Results revealed that the appropriate wages for 2022 were as follows: KRW 163,376 for general workers, KRW 221,407 for special workers, KRW 250,045 for work leaders, and KRW 239,863 for wood cutters. These figures were 16.27% higher than those derived from the standard construction wage survey. The developed framework was validated by comparing the appropriate wages with both the standard construction wage survey and the forestry workers' wage. The results indicated that the wages calculated using the developed framework were 4.5% more similar to the forestry workers' wage compared with those from the standard construction wage survey. Consequently, the standard construction wage survey was deemed unsuitable for forest projects. To ensure efficient forest operations, it is imperative to conduct wage surveys using the developed framework over multiple years to accumulate sufficient data.