• Health Policy and Management
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• v.29 no.4
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• pp.496-501
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• 2019

Background: In this study, wage status and wage determinants of care workers were analyzed. Methods: The analysis used database (DB) of long-term care institutions, DB of long-term care institutions, DB of long-term care workers, DB of health insurance qualification, and contribution possessed by National Health Insurance Services. We analyzed the wage status of the care workers from 2009 to 2016 through basic analysis and estimated the factors affecting the wage of the long-term care facilities' care workers using pooled ordinary least squares. Results: The monthly average wage of care workers was raised from Korean won (KRW) 1.37 million in 2009 to KRW 1.52 million in 2016, and the working hours were shortened by 20 hours from 207 hours to 187 hours. Hourly wages increased by KRW 1,329 from KRW 6,831 in 2009 to KRW 8,160 in 2016. The average monthly wage of care workers was affected by gender, age, years of employment, monthly working hours, establishment type, city size, institutional size, the grade of the institution, and management status. In particular, the wage level of the care workers was high when the larger the size of the institution, the better the management status (fill rate), the establishment type is "government and local government" and "corporation," the institutional rating is high, and the facility manager has the first grade of the social worker license. Conclusion: The government should consider aggressive policies to improve the treatment of care workers as well as the quality of long-term care services so that there will be more long-term care facilities that are guaranteed social publicity above a certain level.

• 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 Korean Clinical Nursing Research
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• v.25 no.3
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• pp.294-302
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• 2019

Purpose: The purpose of this study was to investigate the wage structure of hospital nurses in Korea and to analyze the factors that determine the level of nurses' wages. Methods: First, a mobile survey on nurses' wages was conducted with a total of 3,742 nurses working in hospitals. A literature review was also done. Second, a regression model was applied to analyze the determinants of nurses' wages. Results: The average monthly wage of 3,742 nurses based on the survey was KRW 3,588,000 and the standardized monthly income of 3,742 nurses was estimated to be KRW 3,364,000 as of the end of 2018. The results of regression analysis(R²=61.7%) showed that gender, nursing experience, designated night duty, ownership, and number of beds were statistically significant variables for nurses' wages at 1% significance level. The monthly wage of nurses working in total nursing care wards was not significantly different from those working in other wards at 5% significance level. Conclusion: The substantial difference in nurses' wages according to job career, hospital size, region, etc may result in the low proportion of nurses with more than three to five years of service experience and the high turnover of less-experienced workers. Consideration should be given to adjust the gap in wage level and a standard nurse wage system could be effective measures.

• Journal of Labour Economics
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• v.41 no.2
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• pp.61-88
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• 2018

This paper examines the impact of internal migration on wage growth among college graduates using Propensity Score Matching methods. We define migration as moving between Seoul Metropolitan Area (SMA) and non-SMA based on the locations of graduates' first and second jobs. We also take the direction of migration into account for examining the wage premium in SMA. In order to estimate the impact of migration on wage growth, we use the Graduate Occupational Mobility Survey (2010GOMS) coupled with other supplementary data such as College Scholastic Ability Test score and local characteristic variables. The results reveals that graduates moving from SMA to non-SMA do not experience significant wage growth. However, we find that graduates moving from non-SMA to SMA experience an increase in their monthly wage about 170,000~186,000 KRW on average (9.5~10.3% of their monthly wage on the first job).

• Journal of Labour Economics
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• v.30 no.2
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• pp.87-118
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• 2007

Using KRIVET's Graduates Economic Activities Survey for 2005, this article examines the relationship between university ranking and labor market outcome, with a focus on wage differentials existing between provincial and Seoul metropolitan area university graduates. According to the analysis results, the average monthly wage for provincial university graduates was 1,747.7 thousand Korean won, which is 11.5% lower than that for graduates of universities in the Seoul metropolitan area. School effects on individual wage were estimated to about 12.2% after applying Hierarchical Linear Model technique, which means that university explains only an insignificant part of the total variance in wage among graduates. After controlling for the selection bias, the ability difference between the two areas, by applying the Heckman type 2SLS wage function and Neumark wage differential decomposition technique, the wage gap resulting from the segregation was not identified. This implies that, to a significant extent, the wage gap between provincial and Seoul metropolitan university graduates is attributed to the difference in productivity among individual graduates, rather than to the wage segregation. Also, the estimated wage function by applying Quantile Regression technique indicates that there does not exist any significant wage segregation difference by wage quantile.

• The Journal of Fisheries Business Administration
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• v.51 no.3
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• pp.49-71
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• 2020

A fisher means any person employed to provide his/her labor in a fishing vessel in exchange for a wage. There is no concept of a fisher in Seafarers Act. This act shall not apply to seafarers who are in service on board a fishing vessel the gross tonnage of which is less than 20 tons. However, of the total 63,112 fishing vessels, only 2,829 fishing vessels have a total tonnage of more than 20 tons. Fishermen engaged in fishing vessels with a gross tonnage of which is less than 20 tons are not guaranteed to be paid arrears through the Wage Claim Guarantee Fund for Seafarer (Article 56). In addition, fishermen working on a fishing vessel are excluded from the Wage claim Guarantee Act. The Labor Standards Act shall apply to fishermen engaged in fishing vessels with a gross tonnage of which is less than 20 tons. Fishermen and seafarers are at a higher risk of living security than regular workers. Guaranteeing the payment of wages is essential for fishermen to improve the life and employment stability. In order to guarantee fisher wage claims, the concept of a fisher in the Seafarers Act must be realized by sources such as the Wage Claim Guarantee Fund of Ministry of Oceans and Fisheries, step by step expansion of members in the wage claim guarantee fund for seafarers and interest for delayed payment of wages, etc.

• Health Policy and Management
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• v.30 no.1
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• pp.92-99
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• 2020

Background: The purpose of this study is to analyze the effect of the income support allowance policy for the care workers on wage level. Methods: The analysis data was constructed using database (DB) of long-term care institution, DB of long-term care personnel status, and DB of health insurance qualification and contribution possessed by National Health Insurance Services. We analyzed the wage status of care workers 2009 to 2016 through basic analysis. We used the difference-in-difference analysis method for the workers who worked in the same institution from 2012 to 2013, The effects of the income allowance policy on wage increase were analyzed. Results: As a result of the net effect of the income support allowance policy, the monthly average wage of the care worker increased by 25,676 won and the hourly wage increased by 478 won. As a result of the analysis, it can be confirmed that the income support allowance policy has achieved some of the goals of raising the wage level of the care workers, and the effect of raising wages for other occupations in the long-term care business can be confirmed. Conclusion: The low wage problem of long-term care workers such as care workers is not the only problem in Korea. In other countries, there are various wage support policies for employees. In particular, it is necessary to refer to the improvement in the treatment of care workers in Japan and wage pass-through in the United States. In addition to wages, there is a need to promote policies to provide employment motivation through efforts to improve their social status and improve their job status and career development for employees in long-term care facilities.

• Korea Journal of Hospital Management
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• v.2 no.1
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• pp.162-182
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• 1997

This study was carried out to assess the current status of hospital wage structure and to find out the characteristics and problems in the current hospital wage structure. so as to provide empirical data for establishing a rational wage structure. The data were collected from administrative personnels in charge of wage management in 31 hospitals by using a structured questionnaire through direct visiting and mailing in Pusan Metropolitan City. The major findings in this study were as follows: First, the hospital wage structure applied differently to the basic wages between doctors and the other employees. The wage structure for doctors included performance rate of 51.6%, followed by a synthesis rate of 29.0%, while the wage for the other employees had the synthesis rate of 74.2%, followed by the seniority rate of 12.9%. Second, the wage consisted of a basic wage for 57.5%. the allowance for 21.1% and monthly installed bonus for 21.4%, and the basic wage comprised 68.3% of the total wage for doctors, as compared to 51.9% for nurses and medical technicians and 52.4% for administrative and managerial personnel. The annual rate of the bonus was average 460%, and 96.8% of the hospital did not consider personnel preformance appraisal when paying the bonus. Third, 80.6% of the hospitals applied the legal rate to the retirement allowance while 19.4% applying cumulative rates more than the legal rate, and all of university hospitals applied cumulative rates. Retirement reserves were practiced only in 54.9% of the hospitals. Forth, many hospitals seemed to be interested in applying graded wage system according to performance, by showing that 42.9% of the hospitals were planning to apply it in the future, despite only 9.7% practicing it. Fifth, the wage structure appeared to be complicated due to various kinds of allowances. The kind of the allowances varied among hospitals, ranging from 2 to 26 kinds, and increased as the size of hospital was larger. Sixth, the opinions leading to improve the basic wage structure favored the seniority rate for 51.6% either to maintain the present seniority rate(16.1%) or to apply the incentive pay in addition to the senior rate(35.5%). and also favored the performance rate for 35.5%, followed by the job rate for 12.9%. In conclusion, the current hospital wage structure seemed to be too complicated to reflect personal ability, contribution and performance and to become a big barrier to inducing worker's motivation and to strengthening in competitveness. Therefore it is suggested that the current wage structure should be revised to the one emphasizing on job and ability base with considering characteristics and situation of the hospital, rather than seniority factors.

• 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.

• Economic Analysis
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• v.27 no.2
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• pp.41-70
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• 2021

Using the 2017 and 2019 Survey on Immigrants' Living Conditions and Labour Force, we examine how the job training programs in Korea affect immigrants' labor market outcomes by applying the propensity score matching method. The results show that job training programs increase the probability of being employed by 6.4 percentage points and positively affect monthly wages. There is significant heterogeneity in the effects of job training effects across visa categories. For immigrants with work visas, the effect on the employment rate is relatively small, while the wage effect is considerably large. On the other hand, we do not find a positive wage effect for marriage migrants. Both the employment rate and the monthly wage increased through job training for permanent residents.