• Journal of Labour Economics
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• v.31 no.2
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• pp.103-128
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• 2008

This paper estimates the union effect on the wages using Korean Labor and Income Panel Study by using fixed-effect estimation. While the cross-sectional estimates show the size of 4.6% increase in the wages of workers in the union compared 10 the observationally identical workers in the non-union jobs, the union wage effect is estimated as 2.1% increase in the panel study. This shows that there exits an substantial upward-bias in the cross-sectional estimation of union wage effect.

• Journal of Energy Engineering
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• v.26 no.2
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• pp.80-92
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• 2017

This paper attempts to estimate the diesel fuel demand function in Korea using panel data panel data of 16 major cities or provinces which consist of diesel demands, diesel market prices and gross value added from the year 1998 to 2015. I apply panel GLS(generalized least square) model, fixed effect model, random effect model and dynamic panel model to estimating the parameters of the diesel fuel demand function. The results show that short-run price elasticities of the diesel fuel demand are estimated to be -0.2146(panel GLS), -0.2886(fixed effect), -0.2854(random effect), -0.1905(dynamic panel) respectively. And short-run income elasticities of the diesel fuel demand are estimated to be 0.7379(panel GLS), 0.4119(fixed effect), 0.7260(random effect), 0.4166(dynamic panel) respectively. The short-run price and income elasticities explain that demand for diesel fuel is price- and income-inelastic. The long-run price and income elasticities are estimated to be -0.4784, 1.0461 by dynamic panel model, which means that demand for diesel fuel is price-inelastic but income-elastic in the long run. In addition I apply dummy variable model to estimate the effect of 16 major cities or provinces on diesel demands. The results show that diesel demands is affected 10 regions on the basis of Seoul.

• 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.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.915-940
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• 2017

본 연구는 산업조직이론과 자원기반관점을 통합하여 사업 다각화에 대한 산업환경요인과 기술역량의 결정요인들로 구성한 통합모형을 설계하고, 제안한 모형을 스마트공장 ICT융합기술(애플리케이션 및 플랫폼 분야) 특허 출원기업 272개사의 6개년(2010년~2015년) 특허 및 재무데이터를 이용하여 실증적으로 분석하였다. 고정효과 패널모형을 분석한 결과, 기업의 사업다각화 의사결정에 영향을 미치는 요인들 가운데 기술경쟁력은 사업다각화 수준을 높이는 긍정적 효과가 검증되었다. 추가적으로 2단계 최소자승 고정모형을 분석한 결과, 출원특허수 보다 특허의 기술융합수준이 기술경쟁력을 증대시키는 유의미한 긍정적 효과가 있음을 검증하였다. 본 연구 결과에 근거하여 기업의 ICT융합기술자원 및 역량을 바탕으로 한 사업 다각화 전략기획방향과 정부 R&D 정책과 관련하여 융합기술자원의 사업화 지원방안에 대한 시사점을 제공하고자 한다.

• International Area Studies Review
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• v.16 no.1
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• pp.3-27
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• 2012

This paper adopts recently developed panel unit root test that is cross-sectionally robust. Cointegration test is also used to find whether regional house prices are in line with gross regional domestic production (GRDP) in the long run in Korea during 1989-2009. Based on the panel VECM and the panel ARDL models, we examine causal relationships among the variables and estimate the long-run elasticity. We find evidence of cointegration and bidirectional causal relationships between regional house prices and GRDP. The results of long-run estimates, using both fixed effect and ARDL models, show that house prices positively and significantly influence on the GRDP and vice versa. Together with these results, the findings of ARDL-ECM imply that there exists a long-run equilibrium relationship between house prices and regional economic variables even if there is a possibility of short-run deviation from its long-run path.

• 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 Social Welfare
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• v.68 no.3
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• pp.105-125
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• 2016

School absenteeism is considered one of the early predictors of school drop-out and serious delinquency or criminal behavior. The primary goal of the current study was to explore the protective and risk factors related to changing school absenteeism over time based on the ecological-systemic perspective. The data was derived from the Korean Children and Youth Panel Survey (KCYPS) using the 2011 and 2012 survey waves collected from 2,378 elementary school students. Using this data, Panel Fixed Effects Analysis was conducted. Major findings indicated that daily computer usage, parental abuse, school activity attendance, and school grades had an effect on students missing school days over time. Specifically, high levels of computer usage and parental abuse were related to increased school absenteeism, while high levels of school activity attendance and school grades were associated with decreased school absenteeism. These findings emphasized the importance of predictive intervention for children and suggested the need to construct a school absenteeism monitoring system in South Korea.

• Korea Trade Review
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• v.41 no.5
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• pp.373-389
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• 2016

This study mainly investigates the port SOC's impact on trade volume. In order to investigate the relationships between port SOC and trade volume, we did the empirical analysis using panel data regression and fixed effects model. The total period of 97 years and 1,082 ports' information were applied to panel data and regression model. According to the results, the coefficients of development of container berth, development of bulk berth, maintenance of port, the jetty facilities like breakwater have positive(+) impact on the dependent variable, the trade volume. Especially, the jetty facilities show a strongly positive impact on trade volume. On the other hand, the development of new port and navigation facilities like lighthouse have a negative(-) impact. In examining Hausman test and LR test, the fixed effect model is statistically more appropriate than the random effect model for this study.

• Economic Analysis
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• v.27 no.3
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• pp.33-60
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• 2021

This study estimates the fiscal multiplier using Input-Output table panel data from year of 2010 to 2018. Considering the endogeneity of the government expenditure, this study uses the share of government expenditure by sector in the initial period as an instrument variable. The estimation from the panel fixed effect instrumental variables model shows that the estimate for the current period of government expenditure is 1.15~1.22 and the estimate for the cumulative multiplier is 1.23~1.32 depending on the method of controlling time trend. Since the general equilibrium effect absorbed by the time-fixed effect in the estimation equation, the estimated multiplier in this study may be different from the multiplier of the economy as a whole. The general equilibrium effect depends on the response of monetary policy, changes in tax policy, and interaction between sectors.

• Journal of Korea Port Economic Association
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• v.30 no.2
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• pp.133-143
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• 2014

The paper uses a panel gravity model to analyse the determinants of export via Gwangyang port for the period from 2000-2012. The gravity model includes export via Gwangyang port, GDP and population of trading partners, the distances between Korea and its partners, and Korea-ASEAN FTA dummy. Hausman test shows up which one is exactly appropriate between random effect estimation and fixed effect estimation to use panel dataset. It depends on whether or not existence or nonexistence of the correlation between unobserved omitted factors and variables. Fixed effect estimation is suitable for this paper by the rejection of null hypothesis. An Empirical analysis of this paper shows GDP influences positive effects and distance influences negative effects to Gwangyang port trading partners. In addition, the results strongly supported the effects of Korea-ASEAN FTA on the growth of Gwangyang port export.