• Title/Summary/Keyword: Panel Data

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Trend of Unmet Medical Need and Related Factors Using Panel Data (패널 자료를 이용한 미충족 의료의 추세와 관련요인)

  • Kim, Eun-Su;Eun, Sang-Jun
    • Journal of Convergence for Information Technology
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    • v.10 no.9
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    • pp.229-236
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    • 2020
  • The purpose of this study was to investigate the current status of unmet medical need using data from the Korea Health Panel study from 2009 to 2013 (excluding 2010), and to analyze the trends of unmet medical need and related factors. The subjects of this study were 11,598 in 2009, 11,035 in 2011, 10,584 in 2012, 10,099 in 2013, and 7,144 people in panel data, and conducted frequency analysis, chi-square test and generalized estimating equation. As a result of the analysis by year, it was found that women, under middle school graduation, medical aid, the lowest household income and low subjective health status experienced more unmet medical need. As a result of analysis using generalized estimating equation, women, under 40 years of age, under elementary school graduation, lowest quartile household income, subjective health status of less than 20 points, and activity restrictions are more likely to experience unmet medical need. Based on these results, we intend to provide basic data for establishing policies on the use of medical services.

A Study on the Influence of the Urban Characteristics on the Incidence of Crime Using Panel Model (패널모형을 이용한 도시특성요소가 범죄 발생에 미치는 영향 분석)

  • Lee, Hyo Jin;Lee, Jae Song;Choi, Yeol
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.6
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    • pp.1439-1449
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    • 2015
  • This study, based on the sociological crime theory, is to examine the relation between urban characteristics and the incidence of crime, helping establish effective crime prevention measures. For doing so, the study employs crime data from the Supreme Prosecutors' Office and socio-demographic data including the regional Statistical Yearbooks -both from 2005 to 2012- to build the study's panel data, and analyzes the panel model on the 16 subordinate districts in the city of Busan. To reduce the incidence of crime and prevent crimes from occurring based on the analysis results, first, prevention measures specific to each region by its attributes are needed rather than general ones; second, new institutional frameworks or policies are required for utilizing accurate crime data; third, interdisciplinary research in which various fields including urban engineering are associated to that of social science is necessary to further the study.

The Efficiency of the Large Logistics Providers Using the SBM Model and the Panel Cointegrating Vectors (여분기반분석모형과 패널공적분벡터를 이용한 대형물류기업의 효율성)

  • Mo, Soo-Won;Park, Hong-Gyun
    • Journal of Korea Port Economic Association
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    • v.27 no.3
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    • pp.135-146
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    • 2011
  • A voluminous research on efficiency employs the DEA(Data Envelope Analysis) models. There are, however, only very few that have an interest in the factors influencing such efficiencies. We, furthermore, do not see any studies which analyze the long-term efficiency of the logistics providers using the panel cointegration techniques. The purpose of this paper, hence, is to evaluate the efficiency, analyse its determinants and show a long-term relationship between turnover and the other variables employing the SBM(Slack Based Measure) model, Tobit model, the panel procedure and the FMOLS(Fully Modified OLS). The panel data are composed of 9 individuals and 6 years. The panel cointegrating vectors show that the group coefficient of asset and employees is not only significant but has expected signs, while some of the individual coefficients are insignificant or/and exhibit wrong signs. The panel cointegrating vectors from fully modified OLS also indicate that the estimated coefficients of the panel analysis tend to be overvalued and the asset influences the turnover far greater than the employee does.

The Impact of Export Insurance on Exports to ASEAN and India: The Experience of Korea

  • Lee, Koung-Rae;Lee, Seo-Young
    • Journal of Korea Trade
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    • v.24 no.6
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    • pp.157-172
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    • 2020
  • Purpose - This research empirically proves the extent to which export insurance promotes Korean exports to research object countries among New Southern countries. The outcome of this research will present implications for the operations of export insurance for exports to these countries. Design/methodology - For the empirical analysis, the export equation was composed using a basic gravity model. Based on this, the determinants of Korea's exports to research object countries were analyzed. In this study, a panel unit root test and panel cointegration test were conducted. As a result of the panel unit root test, it was confirmed that the variables of the panel data are not belonging to I(0), but to I(1). As a result of the panel cointegration test, it was established that there are long-term stable relationships among all variables. Accordingly, the gravity model was estimated using original data in order to reduce the information loss caused by the first difference, in spite of individual data belonging to I(1). Findings - For the estimated results of panel OLS, the estimated coefficient of short-term export insurance was 0.56-0.64, with statistically significant results at the significance level of 1%. In addition, for the analysis results of the random effect model, the estimated coefficient of short-term export insurance was 0.59-0.64%, with a statistically significant result at the 1% significance level. This could indicate that Korean export insurance has positive influences on export promotion to New Southern countries. Originality/value - The research implies that export insurance has a 4.1 to 4.7 multiplier effect in expanding exports to the New Southern countries for Korea. This research has intensively analyzed the effects of export insurance on the promotion of exports to a selected area by a government foreign economic policy, which is the originality and value of this paper.

RDD with Follow-Up Texting: A New Attempt to Build a Probability-Based Online Panel in South Korea

  • Dong-Hoon Seol;Deok-Hyun Jang;Sarah Prusoff LoCascio
    • Asian Journal for Public Opinion Research
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    • v.11 no.3
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    • pp.257-273
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    • 2023
  • Conducting face-to-face surveys is difficult and cost prohibitive, necessitating a new attempt to build a probability-based panel in South Korea. Since 99.9% of adult Koreans own a mobile phone, mobile phone numbers provide a viable sampling frame. Random digit dialing (RDD) surveys were conducted August-December 2021. Of the 288,056 valid phone numbers dialed, 13,655 respondents between the ages of 19 and 69 completed a phone survey. These respondents were later invited by text message to join a panel; 3,202 of these (23.4% or 1.2% based on the number initially contacted) joined the panel. When compared to official government statistics like resident registration data, the census, or the Social Survey, this new probability-based panel can be said to be representative of the Korean population on the basis of age, gender, location, marital status, and household size after weighting is applied. However, even after weighting, panel members are more educated than the general population, white-collar workers and self-employed people are overrepresented, and blue-collar workers are underrepresented. As of February 2023, this panel has grown to 10,471 participants with plans to continue to invite more panel members in the same way. Based on the comparisons in this paper, we can regard this panel as a cost-effective, probability-based panel that may be used for various kinds of public opinion research, by researchers both within and outside of Korea. As we continue to refine and grow this panel, we hope it will become more widely used by researchers as well as provide a model for those building similar panels in other countries.

A Study on the Test of Homogeneity for Nonlinear Time Series Panel Data Using Bilinear Models (중선형 모형을 이용한 비선형 시계열 패널자료의 동질성검정에 대한 연구)

  • Kim, Inkyu
    • Journal of Digital Convergence
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    • v.12 no.7
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    • pp.261-266
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    • 2014
  • When the number of parameters in the time series model are diverse, it is hard to forecast because of the increasing error by a parameter estimation. If the homogeneity hypothesis which was obtained from the same model about severeal data for the time series is selected, it is easy to get the predictive value better. Nonlinear time-series panel data for each parameter for each time series, since there are so many parameters that are present, and the large number of parameters according to the parameter estimation error increases the accuracy of the forecast deteriorated. Panel present in the time series of multiple independent homogeneity is satisfied by a comprehensive time series to estimate and to test of the parameters. For studying about the homogeneity test for the m independent non-linear of the time series panel data, it needs to set the model and to make the normal conditions for the model, and to derive the homogeneity test statistic. Finally, it shows to obtain the limit distribution according to ${\chi}^2$ distribution. In actual analysis,, we can examine the result for the homogeneity test about nonlinear time series panel data which are 2 groups of stock price data.

An Analysis of Panel Attrition in GOMS(Graduates Occupational Survey) (대졸자 직업이동 경로조사에서 패널탈락분석)

  • Chun, Young-Min;Yoon, Jeong-Hye;Oh, Min-Hong
    • The Korean Journal of Applied Statistics
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    • v.22 no.5
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    • pp.981-993
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    • 2009
  • It would cause a serious problem in the panel data when panel attrition is concentrated on certain socioeconomic groups. Using the GOMS, this study investigates whether there exists non-random attrition bias in the data and seeks for feasible solutions to minimize the bias. The results of logit analyses show that panel attrition in the GOMS results mainly from surveying system but not from the surveyed. Therefore, the result suggests to develop well-organized management skill and systems as well as to construct weighting methods.

Monetary Policy Independence and Bond Yield in Developing Countries

  • ANWAR, Cep Jandi;SUHENDRA, Indra
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.23-31
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    • 2020
  • This paper investigates the impact of monetary policy independence shock on bond yield by allowing for heterogeneous coefficients in the model based on panel data for 19 developing countries using quarterly data from 1991 to 2016. First, we estimate the model using conventional panel VAR estimation with the assumption of homogeneous coefficients across countries. Second, by performing Chow and Roy-Zellner tests to check the homogeneity assumption, we find that the assumption does not hold in the model. Third, we apply a mean-group estimation for panel VAR as a solution for heterogeneity panel model. The results reveal that central bank independence is effective in reducing bond yield with the maximum at period 6 after the shock. Shock one standard deviation bond yield has a negative effect on consumption and investment. We determine that central bank independence has a contradictory effect on real activity; a negative effect on consumption but a positive influence on investment for the first two years after the shock. Additionally, we split our sample into three groups to make the subgroups pool. Our empirical result shows that monetary policy independence shock reduces bond yield. Meanwhile, the response of economic activity to bond yield varies for all three groups.

Variable Free Surface Panel Method for Potential Flow Analysis around a Ship (가변 자유수면 패널법을 이용한 선체 주위 포텐셜 유동 해석)

  • Choi, Hee-Jong;Kim, Jin;Van, Suak-Ho;Park, Il-Ryong;Kim, Kwang-Soo
    • Journal of the Society of Naval Architects of Korea
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    • v.45 no.1
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    • pp.54-62
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    • 2008
  • A new solution method was developed to solve the free surface flow around a hull and named as 'Variable Free Surface Panel Method'. In the method the non-linearity of the free surface boundary conditions was fully taken into account and the raised panel method was employed to effectively solve the problem. The transom stern flow was also considered and the panel on the hull was generated using the panel cutting method. Numerical calculations were performed for KCS(KRISO Container Ship) hull form and compared with the experimental data to confirm the validity of the method. The comparison with the conventional free surface panel method was also accomplished. It is confirmed that new method gives more reliable results than the conventional method.

Determinants of the National Health Expenditures: Panel Study (국민의료비 결정요인분석)

  • 최병호;남상호;신윤정
    • Health Policy and Management
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    • v.14 no.2
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    • pp.99-116
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    • 2004
  • This study estimates the determinants of national health expenditures of OECD countries using panel regression method. The data used are OECD Health Data(2003) covering 33 countries and from 1970 to 2001. This study shows several important different results compared to the previous studies. Further this study estimates the determinants of Korean case using data from 1m to 2000, and compare with the results of OECD panel. The main findings are as follows. The income elasticity of health expenditures is estimated below 1.0, but is shown above 1.0 when the different health systems of each country are controlled. The women's labor participation influences strongly positive effect on the health expenditures. The diffusion of new technologies is positively related with the increasing expense. The increasing government expenditures have a tendency not to contain health expenses, but to increase expenses. The expansion of public health insurance holders is containing the expenses, and the increasing number of doctors is pushing expenditures. This implies the health expenditures are influenced more by the induced demand of providers rather than the moral hazard of patients. However, the above result is opposite in Korean case. The existence of primary care doctors affects slightly up warding rather than containing expenditures. Finally the determinants are seriously depending upon which factors are included in the model and which statistical model is chosen. Therefore it must be cautious to interpret the results of statistical model.