• Title/Summary/Keyword: Panel Data Regression Model

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The Effects of Regional Education Environment on the Private Education Expenditure of the Households (지역의 교육환경이 사교육비 지출에 미치는 영향에 관한 연구)

  • Park, Sun-Young;Ma, Kang-Rae
    • Journal of the Korean Regional Science Association
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    • v.31 no.3
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    • pp.3-17
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    • 2015
  • In Korea, the private education spending of the households accounted for about 3% of GDP and such a education fever has been associated with the financial burden of households. The main purpose of this paper is to investigate the effects of regional education environment on the private education expenditure of the households using the Korean Labor and Income Panel Survey(KLIPS) data. The quantile regression model is used to examine whether the effects of regional education environment such as the degree of education fever differ across the 'quantiles' in the conditional distribution of private education expenditure. The empirical results showed that the amount of private education expenditure is under the influence of the regions where the households reside. In addition, it was found that the private education spending of the households in the upper quantile groups are more likely to be affected by the regional education environments than those in the lower quantile groups.

High Suicidal Risk Group of Elderly: Identification of Causal Factors and Development of Predictive Model (자살 고위험군 노인: 원인 파악 및 예측 모델 개발)

  • Gayeon Park;Woosik Shin;Hee-Woong Kim
    • Information Systems Review
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    • v.25 no.3
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    • pp.59-81
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    • 2023
  • Elderly suicide problem has become worse in South Korea. With a rapid aging of the population, the trend of suicide among the elderly is expected to accelerate, preventing elderly suicide has been considered an important societal problem. Thus, we aim to investigate various factors that explain suicidal ideation and to develop a predictive model for suicidal ideation in the context of elderly people in South Korea. To this end, this study contributes to addressing the elderly suicide problem. By using seven-year panel data from the Korea Welfare Panel Survey, we extract various potential causal factors for elderly suicidal ideation based on interpersonal theory of suicide and social disorganization theory. Then a panel logit model was employed to assess the impacts of potential factors on suicidal ideation and deep learning and machine learning algorithms were used to develop a predictive model for suicidal ideation of elderly people. The results of our study provide practical implications for preventing elderly suicide by identifying causal factors of suicidal ideation and a high suicidal risk group of the elderly. This study sheds light on synergy of mixed methodology and provides various academic implications.

The Characteristics and Utilization Factors of Tertiary Hospital Inpatients: Evidence from Korea Health Panel(2008~2011) (상급종합병원 입원의 특성 및 이용 요인 분석: 한국 의료패널 자료(2008~2011)를 이용하여)

  • Park, Young-Hee
    • The Korean Journal of Health Service Management
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    • v.8 no.3
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    • pp.13-25
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    • 2014
  • This research was performed to investigate the characteristics and determination factors on tertiary hospital inpatients. The used data was the four waves of Korea Health Panel(2008, 2009, 2010, 2011), and the number of subjects was 4,430 cases of tertiary and general hospital admission. The statistical methodology used in the study is the logistic regression model. The significant affecting factors in utilizing tertiary hospital admission were gender, marital status, education, household income, residence region and ICD-10 classification. Man, graduating college/university, married, high-income were socio-economic affecting factors in tertiary hospital admission. Medical need factor of ICD-10 classification and residence region of inpatients was also significant affecting factors in tertiary hospital admission. The 81.4% of inpatients at tertiary hospital had chronic disease and the 12.9% of inpatients readmitted, the 68.2% had a selecting doctor and the only 26.7% of inpatients reinforced by private medical insurance. This study recommended the Korean government to provide proper rule for tertiary hospital admission in order to improve the equity and efficiency of health care system.

Factors of Welfare Recognition toward Health Insurance and Health Care: Using 2013 Korea Welfare Panel Study (건강보험 및 보건의료에 대한 복지인식에 영향을 주는 요인: 2013년 한국복지패널 자료를 이용하여)

  • Park, Young-Hee
    • The Korean Journal of Health Service Management
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    • v.9 no.3
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    • pp.115-126
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    • 2015
  • Objectives : This research was performed to investigate the characteristics and determination factors of health care policy satisfaction and welfare recognition for health insurance & health care financing. Methods : The utilized data were 4,174 cases who responded to a welfare recognition survey in the 8th wave of the Korea Welfare Panel Study (2013). The statistical methodology used in this study is the multiple regression model. Results : The significant affecting factors of health care policy satisfaction were age, education, household income, welfare attitudes, and health status. Medical utilization & private medical insurance were not related to health care policy satisfaction. The affecting factors of health insurance reinforcement were age, health status, welfare attitudes. The affecting factors of health care financing expansion were age, economic activity type, medical utilization, welfare attitudes. The affecting factors of welfare attitudes were age, economic activity type, household income, health insurance, and health status. Conclusions : Health care policy satisfaction, health insurance reinforcement, and health care financing expansion were all affected by age and welfare attitude; but this was not the case for private health insurance. This study recommended that the Korean government provide active planning for reinforcement of health insurance and publicity of the health care system in order to accord with the prospects of people.

An empirical formulation to predict maximum deformation of blast wall under explosion

  • Kim, Do Kyun;Ng, William Chin Kuan;Hwang, Oeju
    • Structural Engineering and Mechanics
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    • v.68 no.2
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    • pp.237-245
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    • 2018
  • This study proposes an empirical formulation to predict the maximum deformation of offshore blast wall structure that is subjected to impact loading caused by hydrocarbon explosion. The blast wall model is assumed to be supported by a simply-supported boundary condition and corrugated panel is modelled. In total, 1,620 cases of LS-DYNA simulations were conducted to predict the maximum deformation of blast wall, and they were then used as input data for the development of the empirical formulation by regression analysis. Stainless steel was employed as materials and the strain rate effect was also taken into account. For the development of empirical formulation, a wide range of parametric studies were conducted by considering the main design parameters for corrugated panel, such as geometric properties (corrugation angle, breadth, height and thickness) and load profiles (peak pressure and time). In the case of the blast profile, idealised triangular shape is assumed. It is expected that the obtained empirical formulation will be useful for structural designers to predict maximum deformation of blast wall installed in offshore topside structures in the early design stage.

Bank-specific Factors Affecting Non-performing Loans in Developing Countries: Case Study of Indonesia

  • Rachman, Rathria Arrina;Kadarusman, Yohanes Berenika;Anggriono, Kevin;Setiadi, Robertus
    • The Journal of Asian Finance, Economics and Business
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    • v.5 no.2
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    • pp.35-42
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    • 2018
  • In recent decades, financial crises in various countries have often been preceded by the rise in non-performing loans (NPLs) in the banks' asset portfolios. The increase in NPLs is proven to have adverse impact on the banking sector so that understanding the determinant of NPLs is immensely crucial to ensure the efficiency and soundness of the overall economy. This study aims to shed light on bank-specific factors that affect loan default problems in developing countries whose banking sectors play a major role in the overall economy. This study analyzes panel data sets of 36 commercial banks listed in the Indonesian Stock Exchange during the period 2008-2015. Applying fixed-effects panel regression model reveals that Indonesian banks' profitability and credit growth negatively influence the number of NPLs. Moreover, banks with higher profitability are proven to have lower NPLs because they can afford adequate credit management practices. Likewise, banks with higher credit growth evidently have lower NPLs in the sense that they demonstrate more specialized lending activity and thus have better credit management systems. These findings imply that, in order to lower loan defaults that can deteriorate banks' asset quality, banks should maintain their level of profitability and increase, rather than decrease, their credit supply to debtors.

Counter-Cyclical Capital Buffer and Regional Development Bank Profitability: An Empirical Study in Indonesia

  • ANDAIYANI, Sri;HIDAYAT, Ariodillah;DJAMBAK, Syaipan;HAMIDI, Ichsan
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.829-837
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    • 2021
  • The study investigates the impact of the Counter-Cyclical Buffer Policy (CCB) on regional development bank profitability in Sumatra, Indonesia. CCB requires banks to hold capital at times when credit is growing rapidly so that the buffer can be reduced if the financial cycle turns down or the economic and financial environment becomes substantially worse. This study employs time series data of regional development banks (RDBs) in Sumatra Island, Indonesia. The methodology applied in this study is a panel dynamic model with Generalized Methods of Moments (GMM). The results show that increasing capital through the implementation of CCB did not have a significant effect on RDBs' profitability. The findings of this study suggest that the activation and implementation of CCB lead to an increase in the amount and cost of loans to companies but do not affect the profitability of RDBs. The value of a Non-Performing Loan (NPL) proved to have a negative and significant effect on bank profitability. The CCB policy aims to overcome the pro-cyclicality of credit growth and improve bank resilience through increased capital which is expected to reduce excessive credit growth as a source of systemic risk. This causes a lack of lending to the community so that the profits obtained by the bank decrease.

A Study on the Relationship between Foreign Direct Investment and the Absorptive Capacity of a Host Country Using Panel Threshold Regression (패널문턱회귀를 활용한 외국인 직접투자와 현지국 흡수능력의 관계 연구)

  • Cao, Thu Trang;Ji-Young Hwang;Yun-Seop Hwang;Cheon Yu
    • Korea Trade Review
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    • v.47 no.4
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    • pp.89-102
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    • 2022
  • This study is designed to investigate the effect of inflow FDI on the host country's economic growth and the role of absorptive capacity in this relationship. Eight developing countries in East Asia, including Mongolia, Indonesia, Malaysia, Myanmar, the Philippines, Thailand, Vietnam, and Cambodia, are analyzed. Year data from 2000 to 2018 are used. Based on the study of Hansen (1999), the panel threshold effect model is used, and human capital, R&D, and infrastructure are set as absorptive capacity by referring to Wang and Hwang (2013). The analysis results are as follows. It is confirmed that FDI has a positive effect on the economic growth of the host country, and absorption capacity strengthens the relationship between FDI and economic growth in a positive direction. At this time, it appears that a threshold exists for the moderating effect of the absorptive capacity. It presents useful implications for economic growth in developing countries.

Factors Determining the Economic Preparation for Later Life of the Elderly with Industrial Injury: Based on Andersen Behavioral Model of Health Care Utilization (산재경험 고령자의 경제적 노후준비에 관한 연구: 앤더슨 모형을 중심으로)

  • Moon, Yong-pil;Won, Seo-jin
    • The Journal of the Korea Contents Association
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    • v.15 no.8
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    • pp.313-325
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    • 2015
  • This study aims to address factors affecting economic preparation of the elderly with industrial injury using Andersen model. In addition, it is also to explore differences in accordance with changes in the employment status between regular employees and non-regular employees. The authors analyze Panel Study of Worker's Compensation Insurance(PSWCI)'s 1st wave data in the logistic regression model. The authors found gender and education were related to economic preparation. In addition, earned income, national health insurance and the degree to which pain interferes with daily life and the lives caused by industrial accidents were associated with economic preparation. But national pension was not statistically significant to economic preparation. Based on the findings, the researchers addressed political implications to enhance financial security of injured workers.

Empirical Analyses on the Financial Profile of Korean Chaebols in Corporate Research & Development Intensity (국내 자본시장에서의 재벌 계열사들의 연구개발비 비중에 대한 재무적 실증분석)

  • Kim, Hanjoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.4
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    • pp.232-241
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    • 2019
  • This study examines one of the conventional and controversial issues in modern finance. Specifically, this study identifies financial determinants of corporate R&D intensity for firms belonging to Korean Chaebols. Empirical estimation procedures are applied to derive more robust results of each hypothesis test. Static panel data, Tobit regression and stepwise regression models are employed to obtain significant financial factors of R&D expenditures, while logit, probit and complementary log-log regression models are used to detect financial differences between Chaebol firms and their counterparts not classified as Chaebols. Study results found the level of R&D intensity in the prior fiscal year, market-value based leverage ratio and firm size empirically showed their significance to account for corporate R&D intensity in the first hypothesis test, whereas the majority of explanatory variables had important power on a relative basis. Assuming that the current circumstances in the domestic capital market may necessitate gradual changes of Korean Chaebols in terms of their socio-economic function, the results of this study are expected to contribute to identifying financial antecedents that can be beneficial to attain optimal level of corporate R&D expenditures for Chaebol firms on a virtuous cycle.