• Journal of Labour Economics
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• v.26 no.3
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• pp.77-114
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• 2003

Analyses of the special data sets constructed from the National Longitudinal Survey of Youth and the Panel Study of Income Dynamics reveal that, compared with an annual wage measure, survey week wages are significantly counter-cyclically biased due to selecting workers with strong labor market attachment. We also find that survey week wages are more counter-cyclically biased in high-wage industries than in low-wage industries, that is, inter-industry gaps of survey week wages are counter-cyclically biased. Unlike existing longitudinal studies, the current study concludes that real wages are much more procyclical in high-wage industries than in low-wage industries, which is attributed to our adoption of annual wages that is less subject to the selectivity bias. Our finding is consistent with the empirical regularity that real wages are much more procyclical for men than for women, as men are overrepresented in industries with greater real wage procyclicalities. Overall, current results do not support the predictions of segmented labor market theories for the cyclicality of real wages.

• Asia-Pacific Journal of Business
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• v.10 no.4
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• pp.137-151
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• 2019

Using Korean Labor and Income Panel Study data, this paper estimates nominal wage rigidity in Korea by industry from 2005 to 2017 and evaluates the level of inefficiency of Korean labor market. And, after estimating employment volatility by industry using the Labor Force Survey at Establishments data for Korea, we combine the nominal wage rigidity and the employment volatility estimates and analyze the effect of nominal wage rigidity on employment volatility in Korea from 2011 to 2017. If the level of wage rigidity is high, it may be hard for the labor market to be in the equilibrium, and therefore, the market may have inefficiency. We find that the inefficiency of the labor market in Korea have increased from 2005 to 2017 and the industry of accommodation and food service activities has the highest level of inefficiency over the period. We also find that one-percent-point increase in wage rigidity increases employment volatility by 2.3-2.9 percent and the positive effect is bigger for workers with part-time and temporary jobs. The result implies that firms may adjust their labor costs by changing the number of casual workers, rather than permanent workers, when the labor market suffers from a high level of wage rigidity.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.228-229
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• 2019

This study performs analyzing a status of labor cost policy of public construction project and labor management information system in Korea for improving of labor cost survey in the construction market. The outcome of this study will be helpful to build a labor cost information system included the information of man-hour, regular pay and benefit, total wage. And if these result is integrated with the information of worker's career, qualification, skill level, it is confidently expected that the survey of labor cost is reliable.

• Journal of Labour Economics
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• v.37 no.2
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• pp.1-47
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• 2014

Longitudinal analysis of individual wage data received from the Korea Labor and Income Panel Survey (KLIPS) for the 1998-2012 period reveals that nominal wage reductions are prevailing among job stayers. It is also found that the probability of nominal wage cut is higher in the period of lower inflation or higher unemployment, and affected by various individual or group characteristics. Additional analysis of two establishment-based average wage series and the KLIPS shows that real wages are substantially procyclical, which is attributed to the strong procyclicality of nominal wages rather than countercyclicality of inflation. Current findings defy wage-rigidity-based explanations of unemployment fluctuations or models that predict wage rigidity, inlcluding segmented labor market hypotheses.

• Analyses & Alternatives
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• v.6 no.1
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• pp.35-68
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• 2022

In this paper we define wage premium of college hierarchy as a wage differential among college graduates from different universities within the same graduate cohort and estimate the wage premium of college hierarchy for the three different cohorts: namely, 1982, 1992, and 2002. We utilize a unique data set called Education-Labor Market Lifetime Path Survey, which contains education and labor market information about the three different college graduate cohorts. We find that the wage premium of college hierarchy changes over time for the same cohort. It tends to large right after graduation but decrease with labor market experience. When the test score at the time of college entrance controlled, the wage premium of college hierarchy mostly disappears for the 1992 cohort. But for the 2002 cohort it remains seven years after graduation. The difference in the wage premium of college hierarchy can be explained, at least partly, by the number of colleges, college enrollment ratio, and the relation between college hierarchy and the entrance test score.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.281-282
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• 2021

The construction industry is known for a large number of workers and its high employment inducing effect. Therefore, the survey on the wages of the construction industry is an important basic data for grasping fluctuations according to the survey cycle and establishing future policies, and it is a statistical data having a large impact on related industries. In this study, we intend to conduct a comparative analysis of 'the wage survey in Construction sector,' which is the representative nationally approved statistics that surveys the current construction industry wages, and 'the labor force survey of business establishment'.

• 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 Information Systems
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• v.20 no.3
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• pp.187-207
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• 2011

As the IT labor captures an increasing proportion of the total labor, it is important to analyze the contribution of IT labor to national economy. Although there has been abundant research about the effect of IT investments, it is difficult to find a research about IT labor's economic contribution. Most prior studies on the effect of IT investment have focused on the effect of IT capital investment. This paper empirically explores whether and how IT labor makes contribution to Korean economy. And also this paper examines the economic contribution of IT experts and semi-experts in Korean industries over the 2000 to 2007 period, using production function framework and panel data set for 24 industries constructed from 'Input-Output table' and 'Research on Wage Structure Survey'. Based on the full sample of 120 observations, this study finds that a 1% increase in IT labor wage is associated with 0.042190% increase in added value. In the case of non-manufacturing industries on the sample of 50 observations, this study finds that a 1% increase in IT labor wage is associated with 0.074908% increase in added value. And in the case of IT experts (separated from IT semi-experts), this study finds that a 1% increase in IT expert's labor wage is associated with 0.013957% increase in added value of all industry. This study provides implication for policy makers and managers. The results suggests that non-manufacturing industries can capture further benefits by increasing investment in IT labor. Building on this study, future research should examine the impact of IT labor at a more detailed industry level and the firm level.

• 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.

• Journal of Labour Economics
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• v.44 no.1
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• pp.73-101
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• 2021

Employing bunching estimators of Cengiz et al. (2019) for data from the "Economically Active Population Survey," this paper estimates the effect of minimum wage increases on the volume of waged employment for the period 2009-2019. A bunching estimator, which exploits yearly changes in the hourly wage distribution due to the minimum wage hike, can be easily applied to the Korean labor market, which adopts the yearly single national minimum wage. The estimation results suggest that an increase in the annual minimum wage during the period from 2009 to 2019 had a negative effect on the volume of waged employment. A 10% increase in the (real) minimum wage leads to a 1.42~1.74% decrease in the volume of waged employment. Disemployment effects of minimum wage hikes are greater in the sector with a higher proportion of minimum wage workers. It is necessary to carefully consider disemployment effects in determining the level of the minimum wage.