• Title/Summary/Keyword: GINI Index

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Regional difference between the distributions of dental revenues in metropolitan areas and rural areas: Empirical validation of the competition index (대도시와 농어촌에서 치과의료기관 의료수익 분포의 지역 간 차이 : 경쟁 지표에 대한 실증적 검증)

  • Choi, Hyungkil
    • The Journal of the Korean dental association
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    • v.54 no.12
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    • pp.971-984
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    • 2016
  • The increase rate of dentists' competition is very fast at metropolitan areas in South Korea. We compare metropolitan and rural parameters to investigate the relation between competition and revenue variation. The competition and revenue variables of 73 metropolitan and 75 rural areas were calculated from 2010 Census of Service Industry microdata which include non-insurance revenues of dental clinics. Independent sample t-test results showed that the level of competition among dental clinics in metropolitan areas is higher. The lowest and the low ranked revenues are higher in rural areas. The highest and the average revenues are higher in metropolitan areas. But, 25 percentile and median revenues has no significant difference between two areas. Simple log linear regression results showed that the number of clinics could explain the distribution of revenues in both areas better than the density of active dentists and Herfindahl-Hirschman index. In the areas with many clinics have high maximum and average revenues and low minimum revenues. The increasing rate of maximum revenues is higher in metropolitan areas though the decreasing rate of minimum revenues is higher in rural areas. Metropolitan areas have higher Gini coefficients than rural areas, but the increasing rate of Gini coefficients is lower than rural areas. Findings from this study are useful reference when the dentists select the opening areas. One is that the median revenues between metropolitan and rural areas have no significant difference. The other is that the rural areas ensure the more stable and uniform revenues. The results would help to relieve the consumptive competition among dentists and to achieve the distributional efficiency of dental human resources.

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Effects of Iranian Economic Reforms on Equity in Social and Healthcare Financing: A Segmented Regression Analysis

  • Zandian, Hamed;Takian, Amirhossein;Rashidian, Arash;Bayati, Mohsen;Moghadam, Telma Zahirian;Rezaei, Satar;Olyaeemanesh, Alireza
    • Journal of Preventive Medicine and Public Health
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    • v.51 no.2
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    • pp.83-91
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    • 2018
  • Objectives: One of the main objectives of the Targeted Subsidies Law (TSL) in Iran was to improve equity in healthcare financing. This study aimed at measuring the effects of the TSL, which was implemented in Iran in 2010, on equity in healthcare financing. Methods: Segmented regression analysis was applied to assess the effects of TSL implementation on the Gini and Kakwani indices of outcome variables in Iranian households. Data for the years 1977-2014 were retrieved from formal databases. Changes in the levels and trends of the outcome variables before and after TSL implementation were assessed using Stata version 13. Results: In the 33 years before the implementation of the TSL, the Gini index decreased from 0.401 to 0.381. The Gini index and its intercept significantly decreased to 0.362 (p<0.001) 5 years after the implementation of the TSL. There was no statistically significant change in the gross domestic product or inflation rate after TSL implementation. The Kakwani index significantly increased from -0.020 to 0.007 (p<0.001) before the implementation of the TSL, while we observed no statistically significant change (p=0.81) in the Kakwani index after TSL implementation. Conclusions: The TSL reform, which was introduced as part of an economic development plan in Iran in 2010, led to a significant reduction in households' income inequality. However, the TSL did not significantly affect equity in healthcare financing. Hence, while measuring the long-term impact of TSL is paramount, healthcare decision-makers need to consider the efficacy of the TSL in order to develop plans for achieving the desired equity in healthcare financing.

Impact of Cutback of Screen Quota in Korean Movie Market: Three Years Before and After the Screen Quota Reduction in 2006 (스크린 쿼터 축소의 영향분석)

  • Kim, Jung-Ho
    • The Journal of the Korea Contents Association
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    • v.11 no.2
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    • pp.238-250
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    • 2011
  • In 2006, the number of days of the screen quota (theatrical movie screening days of Korean produced films in a year required by the law) was reduced to 73 days from 146 days per year. Three years after the reduction of screen quota, this paper studies the impact of reduction of screen quota system on Korean produced films. Using Non-parametric statistics, Gini Index and Regression analysis, this study shows that the average number of Korean moviegoer of Korean films which was released last three years(2007-2009) after the cutback of screen quota in 2006 is reduced to 640,109.9123 from 1,107,217.82 for three years(2003-2005) before the cutback. And this is significant in statistics. while Hollywood film gets 76,168,518 more audiences than the total number of audience for 2003-2005, the total numbers of Korean films is cut to 218,917,590 (2007-2009) from 245,802,356 (2003-2005). Gini Index of 2009(0.84) indicates that the inequality of a distribution of box office performance of Korean films is getting worse after the cutback. For now, the reduction of screen quota has negative effects for Korean films. Only the technological advance, education of relates personnel, redesigning of the related infrastructure, market-driven movies, creative production, and the promotion of the independent films can reduced the negative effects.

A New Memory-based Learning using Dynamic Partition Averaging (동적 분할 평균을 이용한 새로운 메모리 기반 학습기법)

  • Yih, Hyeong-Il
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.4
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    • pp.456-462
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    • 2008
  • The classification is that a new data is classified into one of given classes and is one of the most generally used data mining techniques. Memory-Based Reasoning (MBR) is a reasoning method for classification problem. MBR simply keeps many patterns which are represented by original vector form of features in memory without rules for reasoning, and uses a distance function to classify a test pattern. If training patterns grows in MBR, as well as size of memory great the calculation amount for reasoning much have. NGE, FPA, and RPA methods are well-known MBR algorithms, which are proven to show satisfactory performance, but those have serious problems for memory usage and lengthy computation. In this paper, we propose DPA (Dynamic Partition Averaging) algorithm. it chooses partition points by calculating GINI-Index in the entire pattern space, and partitions the entire pattern space dynamically. If classes that are included to a partition are unique, it generates a representative pattern from partition, unless partitions relevant partitions repeatedly by same method. The proposed method has been successfully shown to exhibit comparable performance to k-NN with a lot less number of patterns and better result than EACH system which implements the NGE theory and FPA, and RPA.

Measuring Inequalities in Terms of the Distribution of Urban Population (도시화의 특징과 불평등도 분석)

  • 박주문
    • Korea journal of population studies
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    • v.18 no.2
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    • pp.98-114
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    • 1995
  • Since 1962 the Korean society has undergone a rapid transformation under government policies to achieve maximum economic growth. Urbanization via massive rural to urban migration has been observed to be connected with a rapid economic development. Based on the data from the government publications such as Population and Housing Census Reports and Korean Urban Yearbooks, this study measures inequalities in terms of the distribution of urban population. In a historical context, the pace of urbanization during the period 1966-1970 was characterized as the most rapid and the urban-rural growth difference(URGD), which is a valuable measure of the pace of urbanization, was the highest. In terms of regional pattern, Seoul dominated the urbanization picture of Korea during the period 1966-1970. Its annual growth rate was the fastest among those shown during the period 1960 to 1990 and also highest. However, Seoul's primacy was pulled down since 1970. The Gini coefficient, which is the most common general measure of inequalities in distribution, was the highest in 1980. Since 1980 it has continued to fall. As a result, it was lower in 1990 than in 1970. Despite lowering Gini coefficient, inequalities are still large. A concentration index also showed the same trends as those of Gini coefficent.

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A Recursive Partitioning Rule for Binary Decision Trees

  • Kim, Sang-Guin
    • Communications for Statistical Applications and Methods
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    • v.10 no.2
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    • pp.471-478
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    • 2003
  • In this paper, we reconsider the Kolmogorov-Smirnoff distance as a split criterion for binary decision trees and suggest an algorithm to obtain the Kolmogorov-Smirnoff distance more efficiently when the input variable have more than three categories. The Kolmogorov-Smirnoff distance is shown to have the property of exclusive preference. Empirical results, comparing the Kolmogorov-Smirnoff distance to the Gini index, show that the Kolmogorov-Smirnoff distance grows more accurate trees in terms of misclassification rate.

New Splitting Criteria for Classification Trees

  • Lee, Yung-Seop
    • Communications for Statistical Applications and Methods
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    • v.8 no.3
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    • pp.885-894
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    • 2001
  • Decision tree methods is the one of data mining techniques. Classification trees are used to predict a class label. When a tree grows, the conventional splitting criteria use the weighted average of the left and the right child nodes for measuring the node impurity. In this paper, new splitting criteria for classification trees are proposed which improve the interpretablity of trees comparing to the conventional methods. The criteria search only for interesting subsets of the data, as opposed to modeling all of the data equally well. As a result, the tree is very unbalanced but extremely interpretable.

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Contribution of Principal Components Based on the Broken-Stick Model (Broken-Stick 모형에 기초한 주성분 공헌도평가)

  • Kang, Y.J.;Byun, J.H.;Ki, K.Y.
    • The Korean Journal of Applied Statistics
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    • v.23 no.4
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    • pp.767-776
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    • 2010
  • Frontier (1976) suggested a criterion based on the expected length of ordered random intervals under the Broken-stick model (Barton and David, 1956) to determine the optimal number of principal components retained. It is considered to be one of the methods that provide the most consistent simulation results (Jackson, 1993). This study is aimed to propose a method using the distribution of ordered random intervals to evaluate the contribution of principal components. We also examine several types of Gini indices along with the corresponding Lorenz curves to visualize the overall equivalence of those contributions.

A Study on the Multi Functional Administrative City and Innovation City Effect on Balanced National Development (행정중심복합도시와 혁신도시건설이 국토균형발전에 미치는 영향)

  • Kweon, Ihl;Ryu, Sang-Kyu
    • Proceedings of the Korea Contents Association Conference
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    • 2006.05a
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    • pp.75-79
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    • 2006
  • The Purpose of the study is to analyze the change of the unbalanced national development by the construction of multifunctional administrative city and innovation cities. In this study, index of unbalanced national development is measured by unbalanced distribution of population on national land. Gini's coefficient is used to measure the unbalanced distribution of population. As a result, the construction of multifunctional administrative city and innovation cities will relieve the unbalanced national development. but the effect will be insignificant. For the relief of unbalanced national development, various policy and strategy will have to develop.

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The Relationship Between Government Size, Economic Volatility, and Institutional Quality: Empirical Evidence from Open Economies

  • MUJAHID, Hira;ZAHUR, Hafsah;AHMAD, Syed Khalil;AYUBI, Sharique;IQBAL, Nishwa
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.5
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    • pp.19-27
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    • 2022
  • The size of the government is one of the most fundamental debates of open economies. In any economy, government plays an important role, but a pertinent level of economic prosperity has never been obtained in history without government. Therefore, the objective of this paper investigates the association of government size, economic volatility, and institutional quality for 182 economies from the time period 1996-2016 is collected from the World Bank database. GE is defined as the General government's final consumption expenditure. Health expenditure is represented by HE. Government expenditure on education is denoted by EDUEXP. The economic volatility is measured by the rolling standard deviation of GDP per capita growth rate, Population growth, Trade openness, GINI represented Gini index which measures the degree to which the income distributed or consumption expenses among citizens deviates from a perfectly equal distribution. The results proposed that economic volatility has a significant effect on government size and institutional qualities. Moreover, the paper extends the investigation by finding the link between economic volatility with government health and education expenditure separately. The policy implication drawn from this analysis is that controlling economic volatility may reduce the size of government and also significantly affect health and education expenditures.