• Title/Summary/Keyword: Panel Fixed-Effects Model

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Relationship between the Level of Local Extinction and Total Medical Service Uses (지역소멸수준과 지역의 총 의료이용 간의 관계)

  • Ji-Hae Park;Jae-Hwan Oh;Je-Gu Kang;Yun-Ji Jeong;Kwang-Soo Lee
    • Health Policy and Management
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    • v.33 no.3
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    • pp.253-263
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    • 2023
  • Background: The purpose of this study was to explore the relationship between the local extinction index and total medical service utilization. Methods: A fixed effects model in panel analysis was performed for the 228 administrative districts in Korea. The statistical yearbook on the usage of medical services by region and Korean Statistical Information Service data were used from 2010 to 2019 for analysis. Medical service utilization was represented by the number of visits day, the number of inpatient days, and medical charges. Control variables were selected by using an Anderson model. The local extinction index was calculated using resident registration population data. Results: Descriptive statistics showed that the number of areas at risk of extinction increased from 61 to 95 for the study years. In addition, the number of visits, the number of inpatient days, and medical charges all increased during the study years. After controlling for variables affecting medical service utilization and doing a panel fixed effects model, the result suggested that a one-step increase in the local extinction index was significantly associated with a 12.29% decrease in medical charges of inpatients, a 7.33% decrease in medical charge of outpatient, a 5.21% decrease in the number of inpatient day, and a 5.54% decrease in the number of visits day. Conclusion: This study showed that the higher the region's extinction risks, the higher the region's total medical service utilization. The results of this study suggested that there was a disparity in medical service utilization between areas at risk of extinction and areas not at risk of extinction, so measures should be taken to address this disparity.

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.

A Longitudinal Analysis of the Association between Transition into Marriage and Life Satisfaction and Childhood Parental Divorce as a Moderator (결혼과 삶의 만족도의 관계에 대한 종단분석 및 아동기 부모 이혼의 조절효과)

  • Lee, Yoonjoo
    • Human Ecology Research
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    • v.59 no.1
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    • pp.113-125
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    • 2021
  • Previous research on the association between marriage and life satisfaction is limited due to the lack of attempts to investigate the time profiles of life satisfaction around marriage. This study addresses unresolved questions about the positive association between marriage and life satisfaction as well as tests if it is moderated by childhood parental divorce. Using 14 waves of the Korean Welfare Panel Study(N=3,890 individuals or 25,338 person-year observations), the author first used an ordinary least squares model with clustered standard errors and found that married people reported higher life satisfaction before marriage, compared to people who remained single during the survey. This result supports a social selection perspective. Next, the author used a fixed effects regression model and found that the transition into marriage was associated with an initial rise and subsequent decline in life satisfaction. Life satisfaction increased after reaching its lowest level in the third year of marriage. Life satisfaction after the transition into marriage was significantly higher than that observed three or more years prior to marriage. The result supports a social causation perspective. Such changing patterns were not moderated by parental divorce during childhood. This study advances the current literature on marriage and life satisfaction by using a nationally representative longitudinal data set as well as by testing social selection and causation perspectives.

The Impacts of Education and Non-Labor Income on Employment Among the Elderly: An Estimation with a Panel Logit Model to Address the Problem of Endogenous Predictors (교육수준과 비근로소득이 고령자 취업에 미치는 영향: 내생성을 고려한 패널로짓 모형 추정)

  • Kim, Cheoljoo
    • 한국사회정책
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    • v.23 no.1
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    • pp.95-123
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    • 2016
  • As Korean society grows rapidly older, a systematic analysis of the determinants of labor supply behavior among the elderly becomes a prerequisite for designing more effective senior employment policies and income security regime for the elderly. Literatures review shows that a majority of previous researches have been ignoring the problem of "endogenous predictor" especially when it comes to the estimation of the effects of the two key variables, education and non-labor income, on labor supply decisions among older people. They have failed to take into consideration the unobserved heterogeneities which might affect both labor supply decisions of the elderly and their levels of education and non-labor income, which means, according to some econometric literatures, that the estimated coefficients of the two predictors can be inconsistent. The paper tries to redress the endogeneity problem by employing a panel logit model with data from the 1st. to 4th. wave of the KLoSA(Korean Longitudinal Survey of Ageing) to estimate the effects of key predictors on the probability of getting jobs among older people(ages of 60 or older). Both a random effects and a fixed effects model reaffirms that non-labor income has a negative effect on the chances of being employed. And a random effects model shows that the effect of education is also negative, as has frequently been reported by previous studies. That means the effects of education and non-labor income on elderly employment remain negative after the effect of unobserved heterogeneities is controled for and the problem of endogenous predictors is redressed through an appropriate panel data analysis. These findings mean, in turn, that when Korean baby-boomers, who had acquired an unprecedentedly higher level of education and were expected to enjoy ever-larger amount of non-labor income than their preceding generations, retires in near future, their incentives to work will become much weaker and the lack of labor-force and the burden of financing increased public pension expenditure will become more troublesome. The paper concludes with recommending some policy initiatives helpful to solve these expected problems.

Does Population Aging Contribute to Increased Fiscal Spending?

  • LEE, Mihye
    • Asian Journal of Business Environment
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    • v.9 no.4
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    • pp.23-28
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    • 2019
  • Purpose - With rapid population aging in Korea, changes in the population structure will result in a rise in the fiscal burden. This paper investigates the effects of population aging on fiscal spending based on Korea's province data and country panel data from the OECD. Research design, data, and methodology - We use province-level fiscal data from Local Finance Integrated Open System and the Korean Statistical Information Service and also collect country panel data from the OECD. To investigate the relationship between population aging and fiscal expenditures, our analysis uses the fixed effects model. Results - The empirical analysis based on Korean local finance and country panel data show that population aging has a positive impact on social welfare expenditures and it also has a positive impact on spending related to children and the elderly, implying that population aging may lead to an increase in fiscal spending via an increase in social welfare expenditures and spending related to children and the elderly. Conclusion - These empirical results suggest that countries like Korea that expect to experience rapid population aging need to pay more attention to prepare for the expected increase in age-related spending in the near future.

Factors Determining Children's Private Health Insurance Enrolment and Healthcare Utilization Patterns: Evidence From the 2008 to 2011 Health Panel Data

  • Shin, Jawoon;Lee, Tae-Jin;Cho, Sung-il;Choe, Seung Ah
    • Journal of Preventive Medicine and Public Health
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    • v.48 no.6
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    • pp.319-329
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    • 2015
  • Objectives: Parental socioeconomic status (SES) exerts a substantial influence on children's health. The purpose of this study was to examine factors determining children's private health insurance (PHI) enrolment and children's healthcare utilization according to PHI coverage. Methods: Korea Health Panel data from 2011 (n=3085) was used to explore the factors determining PHI enrolment in children younger than 15 years of age. A logit model contained health status and SES variables for both children and parents. A fixed effects model identified factors influencing healthcare utilization in children aged 10 years or younger, using 2008 to 2011 panel data (n=9084). Results: The factors determining children's PHI enrolment included children's age and sex and parents' educational status, employment status, and household income quintile. PHI exerted a significant effect on outpatient cost, inpatient cost, and number of admissions. Number of outpatient visits and total length of stay were not affected by PHI status. The interaction between PHI and age group increased outpatient cost significantly. Conclusions: Children's PHI enrolment was influenced by parents' SES, while healthcare utilization was affected by health and disability status. Therefore, the results of this study suggest disparities in healthcare utilization according to PHI enrollment.

Effects of Human Capital and Innovation on Economic Growth in Selected ASEAN Countries: Evidence from Panel Regression Approach

  • CHE SULAIMAN, Nor Fatimah;SAPUTRA, Jumadil;MUHAMAD, Suriyani
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.7
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    • pp.43-54
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    • 2021
  • Human capital and innovation capacities are essential elements and one of the sustainable approaches to driving economic growth. However, there is debate among scholars concerning these two factors in fostering economic growth. This study investigates the relationships between human capital and innovation capacity and economic growth in selected ASEAN countries, namely, Malaysia, Thailand, and Indonesia. Economists widely discussed the interrelation of human capital and innovation. A large body of literature stated that human capital is an essential factor and engine of economic growth. Innovation has become key in transforming the economic development of developing countries. We analyze human capital (HC) and innovation capacity (INC) using static panel data analysis. The data analysis shows that the fixed-effect model is the best model in this study. Further, human capital (HC) has a significant positive relationship with economic growth. Meanwhile, innovation capacity has no significant relationship with economic growth. We also found that Malaysia's coefficient of human capital and innovation capacity is higher and more efficient than in Thailand and Indonesia. In conclusion, human capital and innovation capacity are crucial elements for measuring economic growth. Skilled human capital contributes significantly to the economic growth and economic development of a nation.

Determinants of Foreign Direct Investment: Evidence from Provincial Level Data in Indonesia

  • MEIVITAWANLI, Bryna
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.53-60
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    • 2021
  • Foreign direct investment (FDI) is especially important for developing countries. This study investigates the determinants of FDI in the case of Indonesia. Most empirical researches in this field used time series data of a single country or panel data of several countries. Although panel data analysis is more comprehensive, however results taken from cross-country analysis cannot be directly applied to any specific country in the dataset and therefore lacks practicality. In this research, panel data analysis of a single country is performed to overcome the aforementioned shortcomings. Five determinants of FDI are tested using panel data of 33 Indonesian provinces over 10-year period of time. Two methodologies are adopted, random/fixed effects model and Granger Causality. The results show that only market size significantly affects FDI when tested using both methodologies. Human capital and financial market development show significant result in one of the two methodologies. While, economic growth and infrastructure did not show any significant results at all. This research stresses the importance of comprehensive single country analysis since only one out of five commonly discussed determinants is applicable in the case of Indonesia. Governments should therefore carefully reconsider the use of cross-country analysis as a basis of their policy formulations.

Discrete-time Survival Analysis of Risk Factors for Early Menarche in Korean Schoolgirls

  • Yong Jin Gil;Jong Hyun Park;Joohon Sung
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.1
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    • pp.59-66
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    • 2023
  • Objectives: The aim of this study was to evaluate the effect of body weight status and sleep duration on the discrete-time hazard of menarche in Korean schoolgirls using multiple-point prospective panel data. Methods: The study included 914 girls in the 2010 Korean Children and Youth Panel Study who were in the elementary first-grader panel from 2010 until 2016. We used a Gompertz regression model to estimate the effects of weight status based on age-specific and sex-specific body mass index (BMI) percentile and sleep duration on an early schoolchild's conditional probability of menarche during a given time interval using general health condition and annual household income as covariates. Results: Gompertz regression of time to menarche data collected from the Korean Children and Youth Panel Study 2010 suggested that being overweight or sleeping less than the recommended duration was related to an increased hazard of menarche compared to being average weight and sleeping 9 hours to 11 hours, by 1.63 times and 1.38 times, respectively, while other covariates were fixed. In contrast, being underweight was associated with a 66% lower discrete-time hazard of menarche. Conclusions: Weight status based on BMI percentiles and sleep duration in the early school years affect the hazard of menarche.

Estimating the Impact of Trade Cost on Export: A Case Study Vietnam

  • Tu, Mai Thi Cam;Giang, Huynh Thi Thuy
    • The Journal of Asian Finance, Economics and Business
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    • v.5 no.3
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    • pp.43-50
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    • 2018
  • The paper aims to investigate the impact of trade cost on export: A Case Study Vietnam. The study conducts a static linear panel data analysis on annual data covering bilateral export between Vietnam and 70 major importers of Vietnam from 2001 to 2013. The gravity model has been one of the most successful applications in empirical trade. In this paper we apply the gravity model to estimate the impact of trade cost on Vietnamese bilateral export value. The paper uses gravity model to estimate the impact of trade cost on Vietnamese bilateral export value. The empirical results derive from a static linear panel data analysis (fixed effects model) indicates that trade cost plays a crucial role in determining the export value that occurs between Vietnam and trading partners. Besides, population of importing country, trade openness of importing country, gross domestic product of importing country and gross domestic product of Vietnam are also significant determinants of Vietnamese bilateral export value. The main findings indicates that trade cost plays a very important role in the Vietnamese bilateral export performance. This suggests that the Vietnamese government should attempt to improve domestic trade costs to enhance competitiveness and increase export growth sustainably.