• Journal of the Korean Regional Science Association
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• v.39 no.4
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• pp.33-51
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• 2023

This study aims to investigate the changes in the employment structure of occupational groups by job characteristics and analyze the factors influencing wage premiums in local labor markets from 2010 to 2020. This study's analysis involves three primary steps. First, the occupational characteristics data from the Korea Network for Occupations and Workers are subjected to an exploratory factor analysis, and then a non-routine task intensity index is calculated by each occupations. Then, we conduct an exploratory analysis of changes in the distribution of employment by occupation from 2010 to 2020 by combining data from the Population Census with data from the Korean Labor and Income Panel Study to construct individual-level and regional-level data. Thirdly, we employ a hierarchical linear model to examine the individual-level and regional-level factors influencing wage premiums. Since 2010, the proportion of employment in occupations requiring non-routine task has continued to rise and now dominates the metropolitan labor market. Moreover, agglomeration effects resulting from urbanization produce a substantial wage premium for wage workers in occupations requiring non-routine tasks. This study seeks to provide policy implications to mitigate inequality and polarization in local labor markets by empirically analyzing the transition of occupational structure and wage inequality in relation to the local labor market context.

• Journal of Labour Economics
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• v.30 no.2
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• pp.1-31
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• 2007

The purpose of this paper is to analyse wage differentials between non-regular and regular works. Data from EAPS(Economically Active Population Survey) 2005 show that the monthly wage level of non-regular worker is only 63% of regular worker and thus there exist 37% wage differentials. However, these wage differentials do not control for hours of work, the amount of human capital, job characteristics, and other individual characteristics affecting wages. If these variables are added to the hourly wage regression equation, the wage gap between non-regular and regular workers drastically decreases to 2.2%. Furthermore, decomposition of the wage differentials by Oaxaca method shows that productivity difference between non-regular and regular workers explains up to 91% of the wage gap. This implies that the magnitude of wage discrimination against non-regular workers is at most 0.2% of hourly wage of regular workers. To control for unobserved individual heterogeneities more accurately, we also construct panel data and estimate wage differentials. The results from the panel data approach show that there is no difference in the hourly wages between non-regular and regular workers. In some specifications, the wage rate of non-regular worker is rather higher than that of regular worker. These results are consistent with economic theory. Other things being equal, workers with unstable employment may require higher wages to compensate their unstability. Firms are willing to pay higher wages if they can get more flexibility from non-regular employment. Empirical results in this paper cast doubt on the view that there is wage discrimination against non-regular workers in the labor market. Public policies should be targeted for disadvantaged groups among non-regular workers, not for non-regular workers in general.

• Journal of Labour Economics
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• v.42 no.2
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• pp.63-99
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• 2019

This paper estimates the effect of the minimum wage increment on employment and work-hour of new workers in Korea using the data from the Survey on Labor Conditions by Type of Employment (SLCTE) from 2008 to 2017. We construct worker groups by sex, age, and education to mitigate endogeneity problem in estimating the effect of minimum wage increment. The result shows that the minimum wage increment leads to decrease of new employment and increase of the ratio of new workers who work less than 15 hours per week. Especially, women, the elderly, the youth, and under high school education level group are sensitive to the minimum wage increment.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.31 no.2
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• pp.119-127
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• 2021

Objectives: We aimed to find the relationships between employment status and hs-CRP level among Korean wage workers using the 2016 Korean National Health and Nutrition Examination (KNHANE, revised). Methods: This study was conducted on 1,937 daytime wage workers over the age of 19 and within a normal weight range (18.5≤BMI≺25). Regular workers were defined as those granted an employment guarantee until reaching retirement age, and non-regular workers were defined as temporary, non-typical, dispatched, short-term workers and contractors. For hs-CRP, three divisions were classified as recommended by the Centers for Disease Control and Prevention (CDC) and American Heart Association (AHA) with less than 1.0 mg/L indicating low risk of cardiovascular disease, above 1.0 mg/L and below 3.0 mg/L considered moderate risk, and more than 3.0 mg/L indicating high risk. To find the relationship between work type and hs-CRP level in Korean wage workers, multinominal logistic regression analysis was performed. Results: For non-regular workers, the odds ratio of the cardiovascular moderate-risk group and cardiovascular high-risk group was statistically significant compared to regular workers. After adjusting for factors such as gender, age, subjective health status, income, education, smoking, and physical labor, the odds ratio of the cardiovascular high-risk group was statistically significant. Conclusions: In this study, the relationship between non-regular workers and high hs-CRP level was examined. Based on this, institutional strategies should be pursued to prevent and manage cardiovascular disease among non-regular workers.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.26 no.1
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• pp.99-108
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• 2016

Objectives: The purpose of this study is to analyze factors associated with depression among wage earners by subjective health and stress perception. Methods: The study subjects include 1,787 wage earners(aged 19 and older) who are currently working, using data from the 2014 National Health and Nutrition Survey. Data were analyzed using frequency test, t-test, ANOVA and multiple regression. Results: Multiple regression analysis showed that perceived stress level, subjective health status, age, monthly household income, sex, marital status, average daily sleeping time, and whether type of employment was regular or non-regular were significantly related to depression. Conclusions: It is necessary to develop an appropriate mental health promotion program and to manage prevention of depression at the national level.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.427-437
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• 2023

Purpose - The purpose of this research is to examine the impact of job satisfaction related attributes on the level of life satisfaction of individuals with disabilities. Job satisfaction related elements consist of wage level, job stability, working condition, career development, and communication. Design/methodology/approach - For the data collection, this research made use of The Korean Panel Survey of Employment for people with disabilities, with the study period consisting of 2016-2018, and the number of observations measuring 4405. For the data analysis, the ordinary least square, fixed effect, and random effect regression models were used. Findings - The results indicate that the life satisfaction of people with disabilities is positively influenced by wage satisfaction, job stability satisfaction, working condition satisfaction, career development satisfaction, and communication satisfaction. Research implications or Originality - This study informs policy makers for the design of welfare for people with disability, specifically related to their labor conditions.

• The Journal of Industrial Distribution & Business
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• v.9 no.3
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• pp.19-29
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• 2018

Purpose - This study empirically analyses the changes in unemployment rates to understand push factors of generating wage pressure and how it affects the aggregate demand in Korea and the United States. We use a structural macroeconomic model which is centered on the labor market and simultaneously explains the natural rate of unemployment and deviations. Research design, data and methodology - We attempt to empirically analyse the unemployment rates through two countries to analyse the economic effects of real wages and aggregate demand between 2000 and 2016. We introduce having estimated the whole model that the growth of unemployment into the part caused by each of these factors. Results - The results of this study show that in the long run, there is not only a natural level of employment but also a natural level of real demand are positively related. in the short run, demand can vary from bring about changes in employment by means of price or wage surprises. Conclusions - The pressure of demand in the labor market shows up strongly in both countries. The estimated labor-demand equation are consistent with this framework and generally have well defined real wage and demand effects.

• Communications for Statistical Applications and Methods
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• v.19 no.2
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• pp.293-301
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• 2012

Quantile regression proposed by Koenker and Bassett (1978) is a statistical technique that estimates conditional quantiles. The advantage of using quantile regression is the robustness in response to large outliers compared to ordinary least squares(OLS) regression. A regression tree approach has been applied to OLS problems to fit flexible models. Loh (2002) proposed the GUIDE algorithm that has a negligible selection bias and relatively low computational cost. Quantile regression can be regarded as an analogue of OLS, therefore it can also be applied to GUIDE regression tree method. Chaudhuri and Loh (2002) proposed a nonparametric quantile regression method that blends key features of piecewise polynomial quantile regression and tree-structured regression based on adaptive recursive partitioning. Lee and Lee (2006) investigated wage determinants in the Korean labor market using the Korean Labor and Income Panel Study(KLIPS). Following Lee and Lee, we fit three kinds of quantile regression tree models to KLIPS data with respect to the quantiles, 0.05, 0.2, 0.5, 0.8, and 0.95. Among the three models, multiple linear piecewise quantile regression model forms the shortest tree structure, while the piecewise constant quantile regression model has a deeper tree structure with more terminal nodes in general. Age, gender, marriage status, and education seem to be the determinants of the wage level throughout the quantiles; in addition, education experience appears as the important determinant of the wage level in the highly paid group.

• Safety and Health at Work
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• v.14 no.1
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• pp.31-42
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• 2023

Background: This study analyzes the linear and non-linear effects of the hard and soft dimensions of job quality on the overall health of wage workers. It also examines the congruence or fit between the hard and soft job quality on the overall health of wage workers. Methods: This study measured thirty indicators that constitute job quality and reduced the indicators into twelve sub-dimensions of job quality using reflective factor analysis. In addition, this study derived two dimensions of job quality from the twelve subdimensions, namely the hard and soft job quality using formative factor analysis. This paper applied the response surface analysis to analyze the congruence effect between the two dimensions of job quality. Results: A logarithmic relationship was found between the dimension of hard job quality and the worker's overall health. This study also verified that the congruence effect between the two dimensions of job quality does not exist, and the combined effect of job quality is lower when the two dimensions of job quality are at the same level than the effect when either level of job quality is high or low. Conclusions: Although hard and soft job quality has independent positive effects on the overall health of wage workers, the two dimensions of job quality are not congruent or not in harmony with each other. This incongruence between hard and soft job quality, together with a higher impact of hard job quality, suggests that the role of soft job quality on overall health is relatively limited.

• East Asian Economic Review
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• v.25 no.1
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• pp.99-121
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• 2021

This paper investigates the relationship between the minimum wage and firm's export behavior by using firm-level data of Vietnamese manufacturing enterprises over the period 2010 through 2015. In this regard, I apply the logistic regression model for the probability of exporting and the differences-in-differences analysis to the data, and find that raising minimum wage standards drive no new exporters but a rise in a firm's export sales. Less productive and more labor-intensive firms raise their amount of exports in response to increasing minimum wage levels. Being exposed to increasing minimum wage levels makes a firm under-perform in terms of export sales compared to non-exposed firms.