• 제목/요약/키워드: 패널분석모형

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The Impact of Offshoring on Korean Firms' Productivity (오프쇼어링이 한국 기업의 생산성에 주는 영향)

  • Park, Moon-Soo;Kim, Hwa-Nyeon;Lee, Kyung-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.10
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    • pp.4784-4790
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    • 2013
  • As with fast growing globalization, Korean firms have increased their offshoring activities and more empirical research are needed to analyze the effect of offshoring on Korean firms' productivity. This study used "Survey of Business Activities", a firm-level panel data set surveyed by the Statistics Korea between 2006 and 2008, and estimated pooled OLS and Panel fixed effect model to examine the impact of offshoring on a firm's labor productivity. Unlike the previous studies on offshoring, we included in the analyses the firms in the service industry in addition to those in the manufacturing industry, and presented the comparative results. The results from pooled OLS model show that 1% increase in the share of offshoring output will lead to 0.03% increase in labor productivity. However, the results from Panel model show that the effects of offshoring on productivity is positive but statistically insignificant. Analyzing the manufacturing and the service sector separately, the main results based on Panel model can be summarized as follows: Offshoring has significant positive effects on firms' productivity in the manufacturing industry. Contrastingly, the impact of offshoring on firms' productivity in the service industry is estimated to be negative but statistically insignificant. Other than the share of offshoring output, most factors except headquarter location have positive effects on firms' productivity in both manufacturing and service industry.

Analysis of the Association between Teacher Relationship, Peer Relationship, and Multicultural Acceptability among Adolescents in Korea: Using Latent Growth Modeling (교우관계와 교사관계가 청소년의 다문화수용성에 미치는 영향에 대한 분석: 다변량 잠재성장모형의 적용)

  • Taekho Lee;Seokyoung Lee;Yoonsun Han
    • Korean Journal of Culture and Social Issue
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    • v.22 no.1
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    • pp.65-85
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    • 2016
  • In this study, we examined the longitudinal change of multicultural acceptability, peer relationship, and teacher relationship using latent growth curve modeling. This study used data from the second, third, and fourth waves of the middle school student cohort (N=2,178) of the Korean Children-Youth Panel Survey (KCYPS). The dependent variable was multicultural acceptability. The independent variables were peer relationship and teacher relationship. The major longitudinal findings of this study are as follows: First, peer relationships, teacher relationships and multicultural acceptability increased with time. Second, peer relationship showed a significant effect on the multicultural acceptability over time. Finally, the teacher relationship showed a significant effect on the multicultural acceptability over time. These results show differentiation with previous cross-sectional studies of multicultural acceptability. Furthermore, it is expected that this study will provide educational implications for the cultivation of multicultural acceptability.

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A spatial panel regression model for household final consumption expenditure based on KTX effects (공간패널모형을 이용한 KTX 개통이 지역소비에 미친 영향 분석)

  • Na, Young;Kim, Yongku
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.5
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    • pp.1147-1154
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    • 2016
  • Impact of Korea train express (KTX) on the regional economy in Korea has been studied by many researchers. Current research is limited in the lack of quantitative research using a statistical model to study the effect of KTX on regional economy. This paper analyses the influence of KTX to the household final consumption expenditure, which is one of important regional economic index, using spatial panel regression model. The spatial structure is introduced through spatial autocorrelation matrix using adjacency of KTX connection. The result shows a significant effect of Korea train express on the regional economy.

The Causal Relationship Test between Marine Business Cycle and Shipping Market Using Heterogeneous Mixed Panel Framework (해운경기변동과 선박시장에 대한 다차원 혼합 패널 인과성 분석)

  • Kim, Hyun-Sok;Chang, Myung-Hee
    • Journal of Korea Port Economic Association
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    • v.36 no.2
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    • pp.109-124
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    • 2020
  • Using panel data on freight rates and ship prices in the dry freighter market from January 2015 to December 2019, this study investigates the characteristics of shipping industry fluctuations. The analysis aims at two aspects of academic contribution. First, this study analyzes the relationship between shipping indicators and ship price based on separate dry-bulk ships, while the previous research considered the overall shipping index and weighted average ship prices. Second, the VAR model for the causality test is extended to a heterogeneous mixed panel model capable of limiting coefficients. There is a peak estimated by removing the cross-correlation problem, which is mainly raised in panel data analysis, using bootstrap estimation and solving the problem of information loss due to differences in non-stationary data. An empirical investigation of the causal relationship between economic fluctuations and ship price shows that the effect on the ship price from the freight is significant at the 1% level. This implies that there is a one-way relationship with demand in the shipping industry rather than a bilateral relationship.

Estimation of Wage Differentials Caused by the Selection of Preferred Job (입직 과정에서의 희망직장 선택이 임금에 미치는 영향 분석)

  • Choi, Youngsup
    • Journal of Labour Economics
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    • v.25 no.1
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    • pp.97-129
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    • 2002
  • It is well known that the quality of job match has strong influence on the efficient allocation of labor resources in the economy on the macro level and also on the productivity of individual worker. Regarding this point we assumed that the selection of preferred job at the job entry can be interpreted as a subjective indicator of job match quality and tried to estimate the effects of such selection on the wage level. For this purpose we suggested random effects switching regression model and applied this model to the data of the Korea Labor Institute Panel Study from 1998 to 2000. As the results of estimation, we found that there exists large wage differentials at least more than fifty percent caused by such selection. Considering the fact that such wage differentials can not be suitably explained by the traditional reasons of the wage discrimination, we suggest the possibility that there also exists large productivity gap caused by the job mismatch and the necessity of improving the job placement service activity.

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A longitudinal study for child aggression with Korea Welfare Panel Study data (한국복지패널 자료를 이용한 아동기 공격성에 대한 경시적 자료 분석)

  • Choi, Nayeon;Huh, Jib
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.6
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    • pp.1439-1447
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    • 2014
  • Most of literatures on Korean child aggression are based on using the cross-sectional data sets. Although there is a related study with a longitudinal data set, it is assumed that the data sets measured repeatedly in the longitudinal data are mutually independent. A longitudinal data analysis for Korean child aggression is then necessary. This study is to analyze the effect of child development outcomes including academic achievement, self-esteem, depression anxiety, delinquency, victimization by peers, abuse by parents and internet using time on child aggression with Korea Welfare Panel Study data observed three times between 2006 and 2012. Since Korea Welfare Panel Study data have missing values, the missing at random is assumed. The linear mixed effect model and the restricted maximum likelihood estimation are considered.

Analysis of Decoupling Phenomenon Between Economic Growth and GHG Emissions: Dynamic Panel Analysis of 63 Countries (1980~2014) (경제성장과 탄소배출량의 탈동조화 현상 분석: 63개국 동태패널분석(1980~2014년))

  • Lim, Hyungwoo;Jo, Ha-hyun
    • Environmental and Resource Economics Review
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    • v.28 no.4
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    • pp.497-526
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    • 2019
  • The importance of "decoupling" to maintain economic growth and reduce greenhouse gases is emerging as the world has been mandated to reduce greenhouse gases since the 2015 Paris Agreement. This study covered 63 countries from 1980 to 2014 and analyzed the main characteristics and causes of decoupling phenomenon between economic growth and carbon emissions. In this study, the degree of decoupling was measured every five years. The analysis found that the decoupling rate of OECD countries and countries with large incomes was high, and that the decoupling phenomenon has accelerated worldwide since the 2000s. However, the degree of decoupling was different depending on the national characteristics. According to the results of dynamic panel model, the growth rate of manufacturing and the proportion of exports hampered decoupling, while the proportion of human capital and renewable energy had a positive effect on decoupling. Also income had a inverse U-shape non-linear effect on decoupling.

Loneliness and Game Addiction in the Early Adolescence: A Four-Year Panel Study (초기 청소년의 외로움과 게임중독의 종단적 관계: 게임이용자 패널 데이터의 자기회귀 교차지연 효과 분석)

  • Jin, Borae
    • The Journal of the Korea Contents Association
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    • v.19 no.5
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    • pp.178-186
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    • 2019
  • Previous studies have shown the significant association between loneliness and game addiction. To determine the causal relationship between them, the present study utilized a series of autoregressive cross-lagged models to early adolescent panel data (N = 346) from KOCCA's Game User Panel Research. Results indicated that loneliness and game addiction, respectively, had relatively strong and stable autoregressive effects across four time points. Also, game addiction at a prior time increased loneliness at a later time, but loneliness was not significantly related to game addiction later in time. These results suggest that game addiction may cause loneliness, not the vice versa.

A Role of Automation in the Triggering of Employment, Productivity, and Profitability among Korean Companies from 2005 to 2015 (자동화가 고용, 생산성, 수익성에 미치는 영향 : 2005년부터 2015년 사이의 한국기업을 중심으로)

  • Son, Jungmin
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.286-302
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    • 2022
  • This study examined the dynamic role that automation has had upon employment, productivity, and profitability. For the analysis, 342 companies of the Workplace Panel Survey of the Korea Labor Institute conducted from 2005 to 2015 was used. For analytical models, the fixed effect model, which is capable of controlling the endogeneity problems of variables, was used. According to the analysis results, the increased ratio of automation in Korean companies (1) resulted in the increase of turnover in the short and long terms, a temporary decrease in employment, and (2) a decrease of productivity in the short and medium terms, and thereby (3) failing to change profitability in a positive manner.

Analysis of Determinants of Carbon Dioxide Emissions in Korea: Considering Cross-sectional Dependence and Heterogeneous Coefficient (우리나라 이산화탄소 배출량 결정요인 분석: 횡단면 의존성과 계수 이질성을 고려하여)

  • Kim, So-youn;Ryu, Suyeol
    • Journal of the Economic Geographical Society of Korea
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    • v.24 no.4
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    • pp.400-410
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    • 2021
  • This study analyzed the determinants of carbon dioxide emissions through the expanded STIRPAT model using panel data from 16 metropolitan cities and provinces in Korea from 2000 to 2019. After testing cross-sectional dependence and coefficient heterogeneity of panel data, we performed analysis using MG, CCEMG, and AMG estimation methods reflected these characteristics. The results of analysis using the AMG estimation method are as follows. The coefficients of income, population, and energy intensity were statistically significant with a positive sign, but urbanization was statistically insignificant. Reduction of carbon dioxide emissions in Korea can be achieved through an increase in energy efficiency and sustainable economic growth. It is necessary to establish a policy that can contribute to sustainable economic growth by inducing productivity improvement through technology innovation reducing carbon dioxide emissions in the long-term as well as building a low-carbon society through active development of carbon dioxide reduction technology.