• Proceedings of the Korean Association for Survey Research Conference
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• 2002.06a
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• pp.157-162
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• 2002

패널 무응답자(panel nonrespondent)란 처음 조사에서는 응답을 하였으나 나중 조사에서는 응답을 하지 않은 사람을 의미한다. 패널조사에서는 앞 단계에서의 응답으로부터 뒷 단계의 무응답에 대한 정보를 얻을 수 있다. 무응답에 대한 수정 방법은 어떤 보조 변수들을 선택하고, 그 변수들이 수정하는 데 어떻게 사용하는 가를 결정하는 것이다. 우리는 가중 수정을 패널 무응답자에 대해서만 생각한다. 이러한 가중은 패널 무응답자에 대하여 보상하기 위하여 패널 무응답의 가중값을 수정한다. 종속 변수로서 패널응답 상태(status)는 로지스틱 회귀분석으로 패널 무응답에 대한 모형을 선택하는 방법이다. 로지스틱 회귀분석에서 패널무응답과 상관이 있는 변수들은 패널무응답 편향을 감소시키기 위하여 가중 수정에서 사용하기 위한 변수들이다.

• Korean Journal of Social Welfare Studies
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• v.47 no.4
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• pp.309-332
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• 2016

This research attempts to calculate the vertical equity of National Health Insurance Contribution of locally provided policy holders by abilities to pay. Also, this longitudinal study examined the influence of abilities to pay and demographic characteristics on the health insurance premium. Using data from the Korea Welfare Panel Study, this study followed the self-employed households who continued to participate in the survey from 2011 to 2015. Kakwani's index of progressivity was measured as a measure of vertical equity and panel regression analysis was conducted by STATA program. The results of this research are as follows. First, from 2011 to 2015, the values of kakwani's index were negative according to composite income, which meant some levels of regressiveness of contribution. Secondly, panel regression analysis showed that the lowest household of composite income had a significantly negative effect on premiums, which also meant regressiveness. Based on the results, the author suggested political discussions on reorganizing the system of imposing the National Health Insurance contribution.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.104-106
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• 2021

본 연구에서는 중국 해운·항만기업의 자본구조를 분석하기 위하여 상장된 중국 해운·항만기업 29개를 표본으로 선정하여 패널회귀분석을 활용하여 실증분석을 수행하였다. 표본으로 선정된 해운·항만기업의 재무제표 데이터는 wind자신(資訊)(wind정보)에서 구득하였으며, 29개 샘플회사의 2006년부터 2015년까지 총 10년간의 재무상태표, 손익계산서, 현금흐름표 및 주가 자료 등을 활용하였다. 실증분석을 위한 주요 변수로는 자산부채비율을 종속변수로 두었고 자산구조, 경영위험, 기업규모, 실제세율, 수익능력, 지급능력, 운영능력, 업계특성 등의 변수를 독립변수로 선정하였다. 실증분석 결과 기업규모, 수익능력, 단기지급능력(유동비율) 등의 요인이 중국 해운항만기업의 자본구조에 영향을 미치는 것으로 나타났다.

• The Korean Journal of Applied Statistics
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• v.27 no.7
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• pp.1163-1170
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• 2014

The concepts and structure of intermittent panel time series data are introduced. We suggest a Wald test statistic for the test of homogeneity for intermittent panel first order autoregressive model and its limit distribution is derived. We consider the fitting the model with pooling data using sample mean at the time point if homogeneity for intermittent panel AR(1) is satisfied. We performed simulations to examine the limit distribution of the homogeneity test statistic for intermittent panel AR(1). In application, we fit the intermittent panel AR(1) for panel Mumps data and investigate the test of homogeneity.

• Korea Journal of Hospital Management
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• v.26 no.3
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• pp.84-99
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• 2021

Purposes: 우리나라 공공의료기관들의 경영실적 보고에 따르면 대부분의 공공의료기관들이 만성적자로 인한 경영난 문제를 겪고 있는 실정이다. 이는 공공의료서비스 제공 등이 주요 원인이겠지만 그럼에도 공공의료기관들의 경영효율화 문제는 지속적으로 지적되고 있음은 공공연한 사실이다. 이에 본 연구는 고정비 성격이 강한 인적자원관리비용과 경영성과 간의 관계를 분석하여 공공의료기관의 경영성과 개선을 위한 경영적 함의를 제공하고자 하였다. Methodology: 분석자료는 2014년부터 2019년까지 39개 지역거점 공공병원의 재무자료를 이용하였고, STATA SE 12.0을 사용하여 다중회귀분석과 패널회귀분석을 실시하였다. Findings: 다중회귀분석을 통한 단면연구 결과에서는 인건비가 높을수록 경영성과가 높은 경향을(2014년 의료수익:1.523/ 2015년 의료수익: 2.002, 의료수익의료이익률: 0.002/ 2016년 의료수익: 1.223) 보였으나 패널회귀분석을 통한 종단연구 결과에서는 복리후생비가 높을수록 경영성과가 의미있게 높은 경향을(의료수익: 3.232582/ 의료수익의료이익률: 0.0014502) 보였다. 이는 인건비는 경영성과에 단기적인 효과가 있는 반면 복리후생비는 경영성과에 장기적인 효과가 있음을 반영하는 것이라고 볼 수 있다. Practical Implication: 본 연구는 이러한 결과를 기반으로 장기적인 효과가 있는 복리후생비의 중요성을 제시하고, 공공의료기관의 경영성과에 영향을 미치는 인건비와 복리후생비의 특성 파악을 통하여 효과적인 인적자원관리방법을 위한 경영적 함의를 도출하였다는 점에서 의의가 있겠다.

• The Journal of shipping and logistics
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• v.35 no.1
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• pp.21-50
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• 2019

The aim of this study is to analyse a characteristic analysis of coastal passenger vessels' voyage scheduling using the Panel Regression Analysis. The GLS and Fixed Effect Analysis show that the number of canceled flights and passenger transport performance have a positive impact on the voyage scheduling, and that the freight transport performance and freight income vary from model to model. Also, through the LSDV and OLS analysis, the trend of cluster formation by regional office was confirmed. This indicates that there are frequent changes in passenger ship companies and ships, and in-depth plans are needed in various respects rather than the expansion of unconditional ships. Subsequent studies need to generate more detailed and practical results by further analysis of detailed factors, dividing them by route and vessel type.

• Survey Research
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• v.12 no.3
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• pp.173-186
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• 2011

We introduced the methodologies used to construct the longitudinal weights and cross-sectional weight that are required for the analysis of Korea Youth Panel Survey. To analyze the longitudinal dynamic change of the population, we derived the longitudinal weight through nonresponse adjustment based on logistic regression and post-stratification. Cross-sectional weights that are necessary to produce an asymptotically unbiased estimator of the population parameter were constructed through simple nonresponse adjustment based on overall response rate and post-stratification.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1253-1262
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• 2014

Regression tree is a tree-structured solution in which a simple regression model is fitted to the data in each node made by recursive partitioning of predictor space. There have been many efforts to apply tree algorithms to various regression problems like logistic regression and quantile regression. Recently, algorithms have been expanded to the panel data analysis such as RE-EM algorithm by Sela and Simonoff (2012), and extension of GUIDE by Loh and Zheng (2013). The algorithms are briefly introduced and prediction accuracy of three methods are compared in this paper. In general, RE-EM shows good prediction accuracy with least MSE's in the simulation study. A RE-EM tree fitted to business survey index (BSI) panel data shows that sales BSI is the main factor which affects business entrepreneurs' economic sentiment. The economic sentiment BSI of non-manufacturing industries is higher than that of manufacturing ones among the relatively high sales group.

• Korean Security Journal
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• no.50
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• pp.119-141
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• 2017

The purpose of this study is to analyze the longitudinal causal relationship between organizational commitment and job satisfaction, focusing on security related workers. For this purpose, the Korean Labor and Income panel data were classified into security employees. Data were analyzed using SPSS 18.0 and AMOS 20.0, and validity and reliability analysis were conducted before hypothesis testing. The results of the analysis show that organizational commitment at time t-1 has a positive effect on organizational commitment at time t, and that job satisfaction at time t-1 has a positive effect on job satisfaction at time t Respectively. The results of this study are as follows: 1) The organizational commitment has a significant effect on the job satisfaction. 2) The effect of job satisfaction on organizational commitment was also significant 3) The cross-lagged coefficients show that organizational commitment precedes job satisfaction and serves as a predictor

• Journal of Industrial Convergence
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• v.22 no.2
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• pp.1-12
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• 2024

This study investigates what decisions have an impact on bank performance. A panel regression analysis was conducted using data from the financial statements of banks located in the United States from 2013 to 2022, and the effects of explanatory variables were examined through hierarchical panel regression analysis divided into financial decision-making and management decision-making. In addition, by analyzing performance separately from the creditor and shareholder perspectives (hereinafter referred to as overall) and from the shareholder perspective alone, it suggests which elements should be utilized and how to improve performance from each perspective. When a panel regression analysis was performed using only liquidity and stability, dependency on deposits and the interest coverage ratio had a statistically significant impact from the perspective of overall performance, and the debt ratio also had a statistically significant impact from the perspective of shareholder performance. When adding non-technical factors, only the labor cost ratio among non-technical factors was found to be statistically significant from the overall performance perspective, and although the non-technical factors were not statistically significant from the shareholder performance perspective, the cash ratio was found to have a statistically significant impact. Lastly, when adding technical innovation elements, the intangible asset ratio was not statistically significant from the overall performance perspective, but was significant from the shareholder performance perspective. The significance and implications of this study are that there are differences in factors that can affect the performance of overall or shareholder and that various decision-making factors can affect a bank's performance.