• Title/Summary/Keyword: Panel Data Regression Model

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Distribution of Factors Affecting Foreign Direct Investment in ASEAN Countries

  • Anh Thi Lan, NGUYEN;Chau Thi Minh, PHAM;Hanh Hong, NGUYEN;Dat Ngoc, NGUYEN;Duy Van, NGUYEN
    • Journal of Distribution Science
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    • v.21 no.2
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    • pp.1-6
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    • 2023
  • Purpose: Research on attracting foreign direct investment plays an important role in ASEAN countries. ASEAN has needed FDI capital for development and integration with many developing countries. Research design, data and methodology: This study is conducted to assess the impact of factors: inflation (INF), economic growth (GDP), population (POP), and trade (TRADE) on attracting foreign direct investment (FDI) of ASEAN countries. The study will find out how factors distribution contributes to FDI attraction. The study collects data from 10 ASEAN countries from 2010 to 2020. With data collected for ten countries from 2010 to 2020, data analysis with panel data will be used in this study. The Regression with Driscoll-Kraay standard errors correction model will be used in the study. Results: Panel data analysis shows that economic growth and population positively impact FDI attraction in ASEAN countries. However, two factors: INF and TRADE, do not affect FDI. Conclusions: Countries need to focus on economic development, create many good conditions for people and domestic enterprises and create opportunities for foreign investors to pay more attention. improving the quality of domestic human resources will help to better improve the working quality factor when the demand for high-quality human resources increases.

Development of Model Estimating Fertility Rate for Korea (출산율 예측 모형 개발)

  • Lee, Sam-Sik;Choi, Hyo-Jin
    • Korea journal of population studies
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    • v.35 no.1
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    • pp.77-99
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    • 2012
  • This study aimed at developing a model for estimating fertility rates for Korea under some conditions. The model is expected to provide the basic information for establishing and evaluating the polices in prompt and adequate response to low fertility and population ageing. The model was established on the basis of experiences by some OECD countries in Europe, having experienced the fertility increase trend and being economically well-developed, because Korea has never experienced the steady increase in fertility rate since 1960. This study collected about 20 years' time series data for each of selected countries and applied to the regression model, which is called a 'panel analysis' to take into considerations both cross-sectional and longitudinal aspects of fertility change simultaneously. Simulation of the model for Korea and some panel countries showed a very small difference, less than 0.1, between the estimated rate and the observed rate for each year during 2006~2010. Thus, the model, as established in this study, is evaluated as accurate or well-fitted to a considerable extent.

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Factors Affecting Financial Leverage: The Case of Vietnam Firms

  • NGUYEN, Chi Dieu Thi;DANG, Hong Thuy Thi;PHAN, Nghi Huu;NGUYEN, Trang Thuy Thi
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.801-808
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    • 2020
  • The purpose of the study is to find the factors that influence the financial leverage of Vietnam firms. The dependent variable is the financial leverage and the independent variables are firm size, asset structure, liquidity, growth opportunities, profitability, and firm age. The data are collected from Vietnam firms' annual financial reports in the period from 2010 to 2019. The study uses a sample of 448 Vietnam listed firms in the period. We also employ a panel regression model with pooled OLS and fixed effect to analyze the firms' financial data. The results of the model showed that financial leverage (FL) has a negative relationship with some factors such as asset structure (AS), liquidity (LQ), growth opportunities (GRW), profitability (ROA), and firm age (AGE) in the fixed effect regression. It means that when liquidity, profitability, and firm age increase, firms' financial leverage will decrease. While firms' financial leverage has still a positive relationship with the firm size (SIZE) in the model. As a result, when firm size increases, financial leverage will increase, too. The results showed that models are fit for the research and can be used to predict future findings. It is also useful for enterprises, financial advisors, investors, as well as the financial managers.

The Effect of Private Health Insurance on Health Care Utilization: Evidence from Korea Health Panel (2008~2010) (민간의료보험이 의료 이용에 미치는 영향: 한국의료패널(2008-2010)을 이용한 Two-Stage 분석)

  • You, Chang-Hoon;Kang, Sung-Wook;Choi, Ji-Heon;Oh, Eun-Hwan;Kwon, Young-Dae
    • The Korean Journal of Health Service Management
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    • v.8 no.2
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    • pp.101-113
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    • 2014
  • This paper examined the effects of private health insurance(PHI) on the health care utilization among the Korean. The used data was the three waves of Korea Health Panel (2008, 2009, 2010), and the number of subjects was 13,951 persons. Authors employed two-stage least square panel model where the instrument variables for controlling for endogeneity of PHI were number of insurance planner per 100,000 in resident area and whether subject worked on financial profession. The results showed that healthcare expenditure of outpatients who purchasing PHI was higher than that of outpatients without PHI, and there was no difference in admission between the two groups. This article recommended the Korean government to monitor the effects of PHI on the health care utilization in order to improve the efficiency of health care finance.

An Economic Effect Analysis of ASEAN FTA on FDI Flows into the ASEAN Countries

  • Yoo, Jung-Geun
    • Journal of Distribution Science
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    • v.14 no.1
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    • pp.39-49
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    • 2016
  • Purpose - Considering industrialization development stages, an economic effect of ASEAN free trade agreement (FTA) on foreign direct investment (FDI) flows into the ASEAN countries was analyzed. Research design, data, and methodology - utilizing macro-level panel data from 2001 to 2012, panel regression analysis was conducted with a model constructed based on the knowledge-capital model. Results - As for overall ASEAN countries, ASEAN FTA was positively effective to attract vertical FDI to this region, while horizontal FDI was dominant before ASEAN FTA. Meanwhile, for the diversified economy relevant to Singapore, ASEAN FTA was not effective to attract FDI. For the ongoing industrialization economy relevant to Thailand, Malaysia, and the Philippines, ASEAN FTA was negatively effective to attract FDI; ASEAN FTA became a strong incentive to replace foreign investments with trade transactions for the horizontal firms, but an influence of market potentials after ASEAN FTA, which induces to third-country effects such as export platform FDI, has increased. For the incipient industrialization economy relevant to Indonesia, Vietnam, and Cambodia, ASEAN FTA was positively effective to attract vertical FDI. Conclusions - The effectiveness of FTA on FDI inflows varied considerably by the industrialization development stages of host countries.

Relevance of Change on the Subjective Recognition of Social Class and Medical Expenditure (주관적 계층인식 변화와 의료비지출과의 관련성)

  • Choi, Ryoung;Hwang, Byung Deog
    • The Korean Journal of Health Service Management
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    • v.13 no.1
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    • pp.31-42
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    • 2019
  • Objectives: The purpose of this study is to analyze the relationship between the change gap in the perception of subjective hierarchy and medical expenditure and the factors influencing medical expenditure. Methods: An analysis based on the the data extracted from the Panel Study of Korea Health Panel for 2012-2013 (n=9,359) is conducted. Further in this study, data analysis included a chi-square test and logistic regression using SPSS version. 22.0 to analyze the factors influencing the turnover intention of industrial workers. Results: Model I showed decreases in medical expenditure by 1.247, 1.391, and 1.441 times in social classes one, two, and Model II showed an increase in medical expenditure by age, spouse, number of family members living together, insurance type, income class, economic activities, subjective health status, chronic illness and change on subjective recognition of social class. Conclusions: The study concludes that the state and community require psychological, social, and cultural support, in addition to individual efforts, to reduce medical expenditure.

Developing Traffic Accident Models Using Panel Data (Focused on the 50 intersections in Cheongju) (패널자료를 이용한 교통사고모형 개발 (청주시 교차로 50개 지점을 대상으로))

  • Kim, Jun-Yong;Na, Hui;Park, Min-Gyu;Park, Byeong-Ho
    • Journal of Korean Society of Transportation
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    • v.29 no.4
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    • pp.95-101
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    • 2011
  • This study proposes the accident estimation model developed based on the time-series cross-sectional data at 50 intersections in Cheongju. The data were collected repeatedly and accumulated from 2004 to 2007. This study focused on deriving the optimal among the various models including TSCSREG(Time Series Cross Section Regression). Four different models utilizing various elements affecting accidents were developed. Through a statistical test, it was found that the t values of independent variables of the fixed effect models were less than those of the random effect models. Two variables were then found to be positive to the accidents: the number of crosswalks at an intersection and the number of intersections.

Maximum likelihood estimation of Logistic random effects model (로지스틱 임의선형 혼합모형의 최대우도 추정법)

  • Kim, Minah;Kyung, Minjung
    • The Korean Journal of Applied Statistics
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    • v.30 no.6
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    • pp.957-981
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    • 2017
  • A generalized linear mixed model is an extension of a generalized linear model that allows random effect as well as provides flexibility in developing a suitable model when observations are correlated or when there are other underlying phenomena that contribute to resulting variability. We describe maximum likelihood estimation methods for logistic regression models that include random effects - the Laplace approximation, Gauss-Hermite quadrature, adaptive Gauss-Hermite quadrature, and pseudo-likelihood. Applications are provided with social science problems by analyzing the effect of mental health and life satisfaction on volunteer activities from Korean welfare panel data; in addition, we observe that the inclusion of random effects in the model leads to improved analyses with more reasonable inferences.

A Study on the Outward Foreign Direct Investment and Psychic Distance of Spanish Companies (스페인 기업의 해외투자 진출과 심리적 거리에 관한 연구)

  • Jae-won Lyu;Yong-Duk Kim
    • Korea Trade Review
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    • v.48 no.2
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    • pp.71-94
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    • 2023
  • The purpose of this study is to prove the effect of psychic distance between home country and host country on overseas foreign direct investment(OFDI) of Spanish companies through panel analysis. The panel data was based on cultural, institutional, economic, and geographical distance data over the past decade between Spain and Spain's OFDI countries. According to the Random Effect Model(REM) analysis, cultural distance(CULD) had a negative effect on OFDI, while institutional distance(INSD) had a positive effect. Among economic distances, income size distance(GDP) had a positive effect on OFDI, but export size distance(EXPO) had a negative effect. Geographic distance(PKM) had a negative impact. Meanwhile, according to the results of quantile regression analysis to prove the psychic distance effect by OFDI size, the effects of CULD and INSD in the quartile (75%) to which Korea belongs were the same as the REM analysis results. In addition, GDP and EXPO had a positive effect, and PKM had a negative effect but EXPO had a positive effect. Therefore, FDI host countries need to establish differentiated strategies through quantile analysis while making continuous efforts to improve the system.

Estimating Price Elasticity of Residential Water Demand in Korea Using Panel Quatile Model (패널 분위수회귀 모형을 사용한 우리나라 지방 상수도 생활용수 수요의 가격탄력성 추정)

  • Kim, Hyung-Gun
    • Environmental and Resource Economics Review
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    • v.27 no.1
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    • pp.195-214
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    • 2018
  • This study estimates the price elasticity of residential water demand in Korea. For that, annual panel data from the year of 2010 to 2013 for 161 local water services is estimated by using panel quantile model. As a result, the price elasticities of residental water demand in Korea are estimated to be between -0.156 and -0.189 depending on its quantile. In addition, the study finds that the estimated elasticity of residential water demand by traditional conditional mean regression is relatively more influenced by high demand areas because the distribution of residental water demand in Korea is left-skewed.