• 제목/요약/키워드: Pooled time series and cross-sectional

검색결과 12건 처리시간 0.026초

A Note on Disturbance Variance Estimator in Panel Data with Equicorrelated Error Components

  • Seuck Heun Song
    • Communications for Statistical Applications and Methods
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    • 제2권2호
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    • pp.129-134
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    • 1995
  • The ordinary least square estimator of the disturbance variance in the pooled cross-sectional and time series regression model is shown to be asymptotically unbiased without any restrictions on the regressor matrix when the disturbances follow an equicorrelated error component models.

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건강결과와 건강결정요인간의 횡단면 시계열 연구 : 주요 OECD 국가를 대상으로 (Analysis of Health Promotion determinants in Major OECD Countries: A pooled cross-sectional time series)

  • 최윤정;배성일;이영호;강민선
    • 보건행정학회지
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    • 제19권4호
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    • pp.33-52
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    • 2009
  • Health promotion policies have needed to assess in detailed and evidence-based work to set a policy goal and clear future directions of health promotion in Korea. To identify the major factors related with health promotion, we assessed the associations between public health outcome (potential years of life loss, PYLL) and national health determinants. For this purpose, we used a pooled cross sectional time-series regression analysis with corrected fixed effect models involving sixteen member countries of the Organisation for Economic Cooperation and Development during the period 1970 to 2001. The PYLL was positively associated with tobacco and alcohol consumption (model 1 and 2) and calories intake (model 2 and 3) while the PYLL was negatively associated with GDP, fruit and vegetable intake (model 2), number of doctors (model 3), coverage rates of health care security, and elderly population rates (model 4). In conclusion, health behaviors related with tobacco, alcohol, and nutrition were significant health determinants for health outcome. Overall analysis results of this study will provide a guidance toward improved macro- and micro-policy development for future health promotion policy in Korea.

보건의료체계 재원조달 유형별 건강결과 결정요인 -OECD 국가를 중심으로- (The Determinants of Health Outcome between Two Health Care Financing Systems)

  • 정애숙;이규식;신호성
    • 보건행정학회지
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    • 제17권4호
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    • pp.31-53
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    • 2007
  • The purpose of a national health care system is to improve health care outcome among population. The objective of the study was to explore the determinants of health outcome in the 24 OECD countries between two health care financing systems. The study employed the pooled time series and cross-sectional analysis with tax-funded and social insurance-funded countries over the period of 1980 to 1999 using OECD Health Data 2002. The study revealed that health expenditure per capita, physicians per 1,000 of the population and calorie intake were positively significantly associated, smoking rate was negatively associated with health outcome while controlling all variables in the tax-funded countries. But in the insurance-funded countries, health expenditure per capita and the number of physicians were not statistically significant factors explaining health outcome. Only the calorie intake was positively associated with, and smoking rate, alcohol consumption per capita, and total nitrogen oxide emission per capita were negatively significantly associated with health outcome. In conclusion, healthy life style factors were much more important to improve health outcome in the both systems.

지역 빈곤의 격차와 요인에 관한 연구 (Determinants of Regional Poverty in Korea)

  • 김교성;노혜진
    • 한국사회복지학
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    • 제61권2호
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    • pp.85-106
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    • 2009
  • 본 연구의 목적은, 우리나라 광역 지방자치단체를 중심으로, 지역간 빈곤의 실태를 비교하고, 지역의 경제 사회적 특성에 기초한 요인을 분석하는데 있다. 이를 위해 1998년부터 2006년까지 제주도를 제외한 15개 광역 시 도의 빈곤율을 한국노동패널자료를 활용하여 측정하고, 각 지역의 정치, 경제, 인구구조, 고용, 산업구조, 재정 측면의 다양한 변수를 포함하여 결합회귀분석을 실시하였다. 분석의 결과, 우리나라 절대적 빈곤율의 평균 수치는 13.19%이고, 상대적 빈곤율은 15.50%이며, 최근 들어 두가지 지표 모두 악화되는 경향을 보이고 있다. 그리고 강원도와 충청남도의 빈곤 수준이 상대적으로 높게 나타나며, 서울특별시와 울산광역시에서 낮게 나타나고 있다. 또한 높은 수준의 재정자립도, 사회복지비 지출 수준, 상용직 비율과 제조업 종사자 비율 등이 지역의 빈곤율을 감소하는데 긍정적인 역할을 하는 것으로 밝혀졌다. 본 연구는 기존의 사람에 기반(people-based)한 반빈곤 정책의 효과성을 높이기 위해서는 지역에 기반(place-based)한 다양한 정책적 모색이 필요하다는 사실을 제언하였다.

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지방정부 사회복지비 지출수준의 결정요인 분석 (Determinants of the Social Welfare Expenditure in Local Government)

  • 김교성;이재완
    • 한국사회복지학
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    • 제41권
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    • pp.68-92
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    • 2000
  • The purpose of this study is to analyze the determinants of social welfare expenditure in local government. The period of 1995 through 1998 data in Seoul, 6 other metropolitan areas, and 9 provinces (Do) were selected and pooled as unit of analysis and total 8 independent variables were selected based on the theoretical background and previous studies. The pooled cross-sectional time-series regression using SPSS program was adapted for the analysis. Among selected independent variables, the rate of economic expenditure to the local government expenditure, the rate of financial self-reliance, and the increase rate of social welfare expenditure to the previous year has been played a significant role in the rate of social welfare expenditure to the total expenditure. Both the rate of economic expenditure and rate of financial self-reliance have had a negative impacts on the rate of social welfare expenditure and the increase rate of social welfare expenditure have affected the rate of social welfare expenditure positively. Therefore, the variables based on the economic constraint theory as well as incrementalism perspective gives greater explanatory power of the social welfare expenditure than the variables on the political choice theory in Korean local government.

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ASEAN+3회원국에 대한 해외직접투자 결정요인 분석 (An Analysis of Determinants of Foreign Direct Investment to ASEAN+3 Member Nations)

  • 손용정
    • 통상정보연구
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    • 제11권2호
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    • pp.111-126
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    • 2009
  • This study analysed determinants of Foreign Direct Investment to ASEAN+ 3 member nations using panel data for which cross-sectional data are combined with time series data. The data for the analysis included the amount of FDI, GDP, and indexes of economic independence. This study collected data from six nations(Indonesia, Malaysia, Philippines, Singapore, Thailand, Vietnam) whose data were easily available, China and Japan from 2003 to 2007 and analysed them. The results are summarized as follows: Using the pooled OLS method, we found Model 2 had the highest explanatory power whose adjusted R-squared was 89.4%, which accounted for about 89% of foreign investment. Using the fixed effect model, Model 2 had the highest explanatory power whose adjusted R-squared was 96.8%, which accounted for about 97% of foreign investment. Using the probability effect model, Model 5 had the highest explanatory power, but in respect to its statistical significance, only GDP was 1% significant and the rest variables had no significance.

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지역별 제조업의 비용함수 추정 (Cost Function Estimation of Regional Manufacturing Industries in Ko-rea)

  • 김상호;손영엽
    • 지역연구
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    • 제11권2호
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    • pp.1-17
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    • 1995
  • Regional production structres are investigated through an estimation of three-input(labor, capital and material) translog cost function. The estimation uses the pooled data in which time series data of 1970-1990 are combined with cross-sectional data corresponding to firm sizes. The empirical finding are the following: (1) the factors are Allen substitutes each otner in general except Pusan and a couple of regionss, and (2) estimates are very small in its absolute value irrespective of the regions. The low elasticity estimates of this study implies that substitytability among the three inputs are very weak in the regional manufacturing production compared to that in the national production. Seoul-Kyungki metropolitan area produces not only the smallest elasticities but relatively stable estimates without much fluctuation between the sub-regions of the area.

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병원의 미래 현금흐름 정보예측 (A Study on the Predictability of Hospital's Future Cash Flow Information)

  • 문영전;양동현
    • 한국병원경영학회지
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    • 제11권3호
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    • pp.19-41
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    • 2006
  • The Objective of this study was to design the model which predict the future cash flow of hospitals and on the basis of designed model to support sound hospital management by the prediction of future cash flow. The five cash flow measurement variables discussed in financial accrual part were used as variables and these variables were defined as NI, NIDPR, CFO, CFAI, CC. To measure the cash flow B/S related variables, P/L related variables and financial ratio related variables were utilized in this study. To measure cash flow models were designed and to estimate the prediction ability of five cash flow models, the martingale model and the market model were utilized. To estimate relative prediction outcome of cash flow prediction model and simple market model, MAE and MER were used to compare and analyze relative prediction ability of the cash flow model and the market model and to prove superiority of the model of the cash flow prediction model, 32 Regional Public Hospital's cross-section data and 4 year time series data were combined and pooled cross-sectional time series regression model was used for GLS-analysis. To analyze this data, Firstly, each cash flow prediction model, martingale model and market model were made and MAE and MER were estimated. Secondly difference-test was conducted to find the difference between MAE and MER of cash flow prediction model. Thirdly after ranking by size the prediction of cash flow model, martingale model and market model, Friedman-test was evaluated to find prediction ability. The results of this study were as follows: when t-test was conducted to find prediction ability among each model, the error of prediction of cash flow model was smaller than that of martingale and market model, and the difference of prediction error cash flow was significant, so cash flow model was analyzed as excellent compare with other models. This research results can be considered conductive in that present the suitable prediction model of future cash flow to the hospital. This research can provide valuable information in policy-making of hospital's policy decision. This research provide effects as follows; (1) the research is useful to estimate the benefit of hospital, solvency and capital supply ability for substitution of fixed equipment. (2) the research is useful to estimate hospital's liqudity, solvency and financial ability. (3) the research is useful to estimate evaluation ability in hospital management. Furthermore, the research should be continued by sampling all hospitals and constructed advanced cash flow model in dimension, established type and continued by studying unified model which is related each cash flow model.

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적극적 노동시장정책의 실업 감소 효과에 관한 연구 (A Study of Active Labor Market Policy and Unemployment : An Analysis Using Fuller-Battese Model)

  • 강철희;김교성;김영범
    • 한국사회복지학
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    • 제45권
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    • pp.7-39
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    • 2001
  • This paper examines the effect of active labor market policy on the unemployment rates in 8 welfare states. This paper focuses on the following questions: what are the major predictors of the changes in unemployment rates?; and what is the effect of active labor market policy in reducing unemployment rates? Using the data from Comparative Welfare States Data Set by Stephens (1997), Key Indicators of the Labour Market by ILO (1999) and Social Expenditure Database by OECD (1999), this paper attempts to answer the above research questions. Fuller-Battese model, a data analysis method in pooled cross-sectional time-series analysis, is adopted to identify variables predicting changes in unemployment rates. This paper analyzes the predictors by using 3 analysis models about 2 types of unemployment (overall unemployment and long term unemployment). Results are as follows: (1) economic variable such as changes in GDP has a positive effect in reducing unemployment rates; (2) active labor market policy has a positive effect in reducing unemployment rates as well; (3) job brokering service among 3 major active labor market programs has a positive effect in reducing unemployment rates; and (4) there is an interaction effect between unemployment benefit level and active labor market policy in reducing unemployment rates. Through the empirical analysis, this paper provides valuable knowledge about effects of active labor market policy on unemployment in 8 welfare states and discusses implications for the active labor market policy in Korea.

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복지국가의 사회복지비 지출 변화$(1982{\sim}1992)$에 관한 실증적 연구 : Fuller-Battese Model을 이용한 분석 (A Study of Social Welfare Expenditures$(1982{\sim}1992)$ of Welfare States : An Analysis Using Fuller-Battese Model)

  • 강철희;김교성;김영범
    • 한국사회복지학
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    • 제42권
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    • pp.7-40
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    • 2000
  • This paper examines the changes $(1982{\sim}1992)$ of social welfare expenditures of 12 welfare states. This paper focuses on two questions. First, to what extent have there been changes in social welfare expenditure (total social welfare expenditures, income support expenditures, social service expenditures) of 12 welfare states? Second, what are the causes of the changes in social welfare expenditures? Using Comparative Welfare States Data Set by Stephens(1997) and Social Expenditure Database by OECD (1999), this paper attempts to answer two questions. Fuller-Battese model, a data analysis method in pooled cross-sectional time-series analysis, is adopted to identify variables predicting social welfare expenditure changes. This paper analyzes the predictors separately according to the types of welfare states by Esping-Andersen (1990). Predictors are different by the types of welfare states; thus, economic variables such as GDP and financial deficiency have effects on social welfare expenditures of Liberal and Corporatist welfare states. while they have no effects in Social Democratic welfare states. Political variables has effects on social welfare expenditures of Corporatist welfare states, not of Liberal and Social Democratic welfare states. Demographic variables has effects on social welfare expenditures of Social Democratic welfare states rather than Liberal and Corporatist welfare states. This paper provides an additional knowledge about social welfare expenditure changes of 12 welfare states and discusses implications for the development of welfare state in Korea.

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