• Journal of Labour Economics
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• v.34 no.3
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• pp.119-139
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• 2011

Using a establishment-worker matched data, this paper estimates wage differentials between standard and non-standard workers. Unlike previous studies, we estimate a fixed-effect model for the tree-way error-components that control for both unobserved individual heterogeneities and unobserved firm heterogeneities. The estimation results show that standard workers earn 6.5~8.4% mire than non-standard workers. This wage premium is 30~40% of the wage differential estimated from the OLS model. The results implies that a large proportion of the wage differentials between standard and non standard workers can be explained by unobserved firm and individual characteristics.

• Survey Research
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• v.9 no.3
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• pp.71-91
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• 2008

Workplace Panel Survey(WPS) is the representative panel survey of workplace in Korea. WPS was newly sampled in 2005 and is to be used for the subsequent biennial survey. The main survey is divided into a questionnaire for human resources(HR) manager, a questionnaire for labor relations manager and a questionnaire for representatives of unions. The population of WPS 2005 included workplaces across the country with 30 or more employees. The WPS 2005 was composed of 1,905 workplaces including 290 workplaces in the public sector. The sample was selected by the stratified random sampling. Weighting process for the survey data was introduced to compensate for differential sampling and non-response rates. Personal interviews were conducted using the Computer Assisted Personal Interviewing(CAPI) system during visits by interviewers, along with survey via mail and e-mail concerning employment and financial issues. The CPAI system introduced for the WPS 2005 can by used for automatical detection for errors and inconsistencies which may occur during the survey process. The CAPI system played an important part in enhancing the reliability of the survey data.

• Journal of Labour Economics
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• v.34 no.1
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• pp.71-101
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• 2011

Using an establishment-level panel data drawn from the employment insurance administrative DB, this study investigates the relationship between elderly and youth employment in Korea. The primary focus of interest is whether or not the ageing of workforce and an increase in elderly employment have negative impacts on youth employment. In the regression using the full sample, we find the evidence that a movement in elderly employment and ageing workforce are positively related to youth employment. However, we do not find consistent evidence of the positive impact of the elderly employment on youth employment in the estimations using sub-samples divided by various criteria.

• Korean Journal of Labor Studies
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• v.24 no.1
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• pp.261-295
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• 2018

This study draws on data from the 1st (2005) to 6th (2015) waves of the Workplace Panel Survey regarding workplaces with labor representatives, i.e., a trade union or labor-management council, and analyzes these using a fixed effects panel data model to examine the relationship between the level of worker participation and the economic performance of workplaces. Analysis results indicate that higher levels of worker participation in an earlier time period are associated with higher per-worker value added (productivity) and per-worker labor costs (wages) at the current time period, but only up to a certain level beyond which the effect is found to decrease, thus forming an inverted-U shape pattern. Considered from a broad framework, these results are in line with the theoretical predictions by Freeman and Lazear (1995), who had established the logic behind the dynamics of the participation of labor representatives in management activities. In view of the fact that the current average level of worker participation in Korea is very low, the empirical analysis results of this study presents the policy implication that raising the level of workplace participation somewhat beyond current levels would yield improvements in economic performance in terms of the shared rent between labor and management - i.e., productivity (per-worker value added).

• Management & Information Systems Review
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• v.37 no.1
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• pp.123-138
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• 2018

In this paper, we use panel dataset from Korean linked worker-firm to analyse the effects of the workforce age structure on the productivity or labor costs. We measure 'labor productivity' as added value per capita, 'cost of labor' as labor cost per capita and estimate a dynamic panel model to study the effects of the workforce age structure on the productivity or labor costs. Empirical analysis results show that the workforce age structure is positively related to productivity and labor costs, but only up to the aged of 35-39. That is, we find that an increase in the proportion of younger workers or elder workers rather than the aged 35-39 has a negative effect on productivity and labor cost. In particular, the difference between the estimation coefficient of productivity and labor cost when the share of workers aged 50 or older is increased instead of the aged 35-39 is higher than the difference between the estimation coefficient of productivity and labor cost when the share of workers aged 30 or younger is increased instead of the aged 35-39. Our results exhibit that it is reasonable for firms to worry about declining productivity of elderly workers, whereas firms already used older workers efficiently, such as by adjusting their labor costs.

• Survey Research
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• v.12 no.2
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• pp.89-112
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• 2011

This study shows the results of constructing panel data using Farm Household survey and presents some examples of empirical application. This study shows that ex post constructed panel data using repeated cross-sectional survey can be used in various dynamic analyses. This paper also shows that the well known difficult problem of longitudinal weights can be easily solved by using the existing cross-sectional weights in original cross-section data. Based on these results, we propose that the National Statistical Office not only try to construct panel data, but also construct panel data by using existing repeated cross-section data. The benefits of this approach seems to be very big in establishment survey.

• Journal of Labour Economics
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• v.43 no.4
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• pp.179-203
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• 2020

This study aims to compare and analyze the impact of labor unions on job training programs using two different longitudinal data, Workplace Panel Survey (WPS) and Korean Labor and Inocme Panel Study (KLIPS). By applying the Correlated Random Effect (CRE) model to both individual-level and establishment-level data, we observe that labor unions increase the likelihood that establishments provide employees with job training programs and workers participate in the trainings. Our results shed light on the role of labor unions to increase the opportunities of job training programs for workers.

• 한국사회정책
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• v.23 no.2
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• pp.25-48
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• 2016

This study stemmed from the notion that effects of wage peak system were investigated exclusively on management efficiency from the perspective of workplace. As a way to overcome the limitation of previous studies, This study examined the effects of wage peak system on age integration of senior workers. Quantitative analyses with data from workplace panel survey were executed. Results revealed that percent of workers aged 50 and over was significantly higher in work places that implemented wag peak system than that of those did not. Also Average year of employment for full time workers was higher in work places that implemented wag peak system than that of those did not, suggesting that wage peak system was related to labor market integration of aged workers in some ways.

• KDI Journal of Economic Policy
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• v.29 no.3
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• pp.75-109
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• 2007

This paper empirically investigates the effects of import tariff on within-plant productivity growth in Korean manufacturing, using the detailed plant-level longitudinal data of the Korea Census of Manufacturers for the period of 1993-2003. Our main findings are as follows: First, the productivity changes of Korean manufacturing for the period under analysis were mostly induced by within-plant productivity gains, rather than within-industry and/or between-industry resource reallocations. Second, after controlling for firm-specific heterogeneity, the estimation results indicate that lowering tariff-barriers has a positive impact on within-plant TFP growth. We interpret the results in a way that trade liberalization through the removal of tariff and non-tariff barriers heightens the competitive pressure, which in turn creates incentives to reduce production and managerial inefficiency and to invest more on innovative activities. Third, we also find that plant productivity growth from reducing tariff barriers is particularly conspicuous within a year after tariff changes, which implies that plants are quickly adjusting to heightened import competition. On the other hand, our results show that the trade effect on employment creation proceeds relatively slow.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.1
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• pp.76-86
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• 2008

This paper estimates the TFP in IT manufacturing (total factor productivity) by employment size of establishment and analyses the determinants of it. And the panel data is consisted of time series and cross section data of 4 employment size of establishment over $1990{\sim}2004$. During the period from 1991 to 1997 TFP increased positively irrespective of the employment size of establishment, but from 1998 to 2004 TFP increase rate turned negative except large size(more than 300) of establishment. TFP assume macro variables and policy variables as the determinants of IT manufacturing TFP. The analysis of whole size of establishment shows that sales growth rate is significantly positive, which makes us conclude that there is a teaming by doing effect and economy of scale. But some variables(i.e. IT capital stock, policy financing, and openness etc.) are significant in only a few models. So there may be different effect by employment size of establishment. In TFP determinants analysis by employment size of establishment, we find that coefficients of policy financing and openness variables are significantly positive. The larger employment size of establishment is, the larger scale economy is. And for large size(more than 300) establishment, IT capital stock helps propel the increase of the productivity.