• Title/Summary/Keyword: Segmented regression analysis

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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.

Development of a fog Frequency Estimation Model at Expressway (고속도로 안개발생 빈도추정 모형 개발)

  • Park, Jun-Tae;Lee, Soo-Beom;Lee, Soo-Il
    • Journal of the Korean Society of Safety
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    • v.26 no.4
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    • pp.127-134
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    • 2011
  • A traffic accident which happens in Expressway during dense fog is more likely to cause the sequential accidents and high death rate. So, the preventive measures shall be taken at dangerous areas to enhance the efficiency of roads and minimize the accidents and the resultant damages. So, it is necessary to find out the characteristics of freeway zone which has high risk of fog occurrence and to establish the comprehensive safety strategy on installation and operation of the safety equipment. In this study, I developed a fog forecasting model by using the freeway fog data. This model can be used as the fog forecasting model in dealing with fog problems when new road is planned. The model was developed by using a statistical analysis technique or the regression analysis, focusing on the variables such as geographical features and regional conditions, distances to water sources and the area of water source. I have segmented the models by classifying the area into inland area and coastal area. The distance to water source and area of the water source located around the freeway were found to be main factors causing fog.

The study of the relationship among make-up attitude, body-related value, and clothing behavior (화장태도, 신체가치, 의복행동 간의 관계 연구)

  • Chung, Mi Sil
    • Korean Journal of Human Ecology
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    • v.22 no.4
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    • pp.677-691
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    • 2013
  • The purpose of this study was to examine the influence of make-up attitude and body-related value on clothing behavior. The subjects were 315 female college students in Gyeongsang provinces. The obtained data were analyzed by reliability analysis, factor analysis, cluster analysis, one-way ANOVA, Duncan's multiple range test, correlation analysis, multiple regression analysis and t-test. The major results of this study were as follows: First, four factors of make-up attitude were identified: pursuit of confidence, sociality, self-satisfaction, and positive image. Second, the subjects were categorized into three different types of groups according to make-up attitude and body-related value, respectively: high involvement type, low involvement type, and middle involvement type. Third, there was significant difference among three groups which were segmented by each make-up attitude and body-related value on clothing behaviors (sexual attractiveness, showing off, body-enhancement). Fourth, a significant positive correlation was found among four factors of make-up attitude and body operatability with clothing behaviors. Fifth, the important variables that affected the clothing behaviors were pursuit of confidence, self-satisfaction, and positive image of make-up attitude. Sixth, body-inclination significantly influenced sexual attractiveness of clothing behavior, whereas body-related value, unlike make-up attitude, only had marginal influence.

The Apparel Purchasing Behavior of Adult Female Group Segmented by Their Materialism

  • Lee, Ok-Hee
    • The International Journal of Costume Culture
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    • v.3 no.3
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    • pp.246-261
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    • 2000
  • The purpose of this study was to investigate the apparel purchasing behavior of adult women consumer groups divided by materialism. The specific objects of this study were ; 1) to examine the degree of materialism, impulsive buying, and conspicuous consumption. 2) to examine the correlation between impulsive buying, materialism, and conspicuous consumption, and to examine the relative influences of impulsive buying, materialism affecting conspicuous consumption. 3) to classify groups according to the level of the propensity for materialism, and to examine the clothing purchasing behavior of the divided groups. Data were administered to 357 adult women living in Sunchol from June to July 1999. For analysis of the data, factor analysis, one-way ANOVE, duncan's multiple range test, frequency and χ²-test were employed. The results of this study were summarized as follows. 1. Materialism and impulsive buying have shown higher than middle score, and conspicuous consumption has shown similar to middle score. 2. The correlation between materialism, impulsive buying, and conspicuous consumption has shown similar to middle score. The higher the materialism and experience of impulsive buying was, the higher was the conspicuous consumption. According to the results of regression analysis examining the relative influence of variables affecting conspicuous consumption. According to the results of regression analysis examining the relative influence of variables affecting conspicuous consumption, the relative importance of the variables were in the order of ; success-symbolic materialism, life-centered materialism, happiness-pursuing materialism, in the order of ; success-symbolic materialism, life-centered materialism, happiness-pursuing materialism, impulsive buying and their explanatory power totalled 35.2%. 3. Evaluating attributes of product, the type of purchasing store, the place of purchasing, the need of high class department store, purchasing price range, and accompanying people when purchasing were the factors influencing the apparel purchasing behavior.

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Price Response Function with Price-Dependent Quality Evaluation at Segment Level (가격을 품질의 지표로 사용하는 세분시장의 가격반응함수 추출)

  • Kwak, Young-Sik;Lee, Yun-Kyung;Nam, Yong-Sik
    • Journal of Global Scholars of Marketing Science
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    • v.16 no.2
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    • pp.77-94
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    • 2006
  • The purpose of this study was to identify the consumers who use the level of price as the indicator of the product quality and calibrate the price response function with price-dependent quality evaluation. In order to implement the purpose of this study, Home theater market in China had been segmented by the mixture regression model, and price response function was calibrated at segment level. Based on the types of price response function, segments were allocated into one of two groups; the group using the level of price as the quality indicator or the group not using the level of price as that. Then, characteristics of both groups were compared in terms of product attributes and demographic variables.

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The Effect of Outpatient Cost Sharing on Health Care Utilization of the Elderly (노인의 외래본인부담제도에 따른 의료이용의 변화)

  • Kim, Myung-Hwa;Kwon, Soon-Man
    • Journal of Preventive Medicine and Public Health
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    • v.43 no.6
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    • pp.496-504
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    • 2010
  • Objectives: The purpose of this study was to analyze the effect of outpatient cost-sharing on health care utilization by the elderly. Methods: The data in this analysis was the health insurance claims data between July 1999 and December 2008 (114 months). The study group was divided into two age groups, namely 60-64 years old and 65-69 years old. This study evaluated the impact of policy change on office visits, the office visits per person, and the percentage of the copayment-paid visits in total visits. Interrupted time series and segmented regression model were used for statistical analysis. Results: The results showed that outpatient cost-sharing decreased office visits, but it also decreased the percentage of copayment-paid visits, implying that the intensity of care increased. There was little difference in the results between the two age groups. But after the introduction of the coinsurance system for those patients under age 65, office visits and the percentage of copayment-paid visits decreased, and the 60-64 years old group had a larger decrease than the 65-69 years old group. Conclusions: This study evaluated the effects of outpatient cost-sharing on health care utilization by the aged. Cost sharing of the elderly had little effect on controlling health care utilization.

Shoes Satisfaction and Selection Criteria According to Women's BMI (성인여성들의 체질량지수에 따른 구두 선택기준 및 만족도)

  • Kim, Yong Sook
    • Korean Journal of Human Ecology
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    • v.24 no.1
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    • pp.111-122
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    • 2015
  • The purpose of this study was to identify the shoes satisfaction and selection criteria according to women's BMI. Data was collected from 323 women in their 20-40's. Factor analysis, one-way ANOVA, Chi-square test, and multi regression analysis were done. Women were segmented into the under weight group, the regular weight group, and the over weight group according to their BMI. The factors of shoes selection criteria were fit and practicality, appearance, fashion and brand, materials and sewing, comfort and economy, and size. Generally most women were satisfied with the styles of shoes but dissatisfied with materials and size. The underweight group's foot was shorter and narrower, shoes was shorter and heel height was higher but the over weight group was opposite. The under weight group were satisfied with higher heel and comfort and practical shoes. The regular weight group were satisfied with higher heel and comfort and economy shoes but the over weight group was dissatisfied with higher heel and comfort and economy shoes.

Comparison of Customer Satisfaction Indices Using Different Methods of Weight Calculation (가중치 산출방법에 따른 고객만족도지수의 비교)

  • Lee, Sang-Jun;Kim, Yong-Tae;Kim, Seong-Yoon
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.201-211
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    • 2013
  • This study compares Customer Satisfaction Index(CSI) and the weight for each dimension by applying various methods of weight calculation and attempts to suggest some implications. For the purpose, the study classified the methods of weight calculation into the subjective method and the statistical method. Constant sum scale was used for the subjective method, and the statistical method was again segmented into correlation analysis, principal component analysis, factor analysis, structural equation model. The findings showed that there is difference between the weights from the subjective method and the statistical method. The order of the weights by the analysis methods were classified with similar patterns. Besides, the weight for each dimension by different methods of weight calculation showed considerable deviation and revealed the difference of discrimination and stability among the dimensions. Lastly, the CSI calculated by various methods of weight calculation showed to be the highest in structural equation model, followed by in the order of regression analysis, correlation analysis, arithmetic mean, principal component analysis, constant sum scale and factor analysis. The CSI calculated by each method showed to have statistically significant difference.

A Study on Probability of Home-ownership over the Family Life Cycle -Case of Oaxaca City of Mexico- (가족생활주기상의 주택소유확률에 관한 연구 -멕시코 Oaxact시 의 경우를 중심으로-)

  • 이인수
    • Journal of the Korean housing association
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    • v.9 no.1
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    • pp.33-42
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    • 1998
  • This study has been designed to analyze longterm trend of home-ownership probability over the family life cycle. In this study, 633 female household heads were interviewed on their critical life event such as pregnancy, birth or death of households, marriage, and residential movement between 1987 and 1990 in Oxaca, Mexico. The raw data composed of 100,000 lines were transformed into yearly segmented observation data, proposed by Allison. The results are drawn as follws: 1) There is significant effect of marriage cohort on residential mobility and home ownership: couples who married in 1960s are likely to change their residence at early stage of family life than those who married in 1940s. They also have lower probability of home ownership for 10 years after marriage than the other cohorts. 2) Over all the cohorts, it is consistent tendency that probability of home ownership continuously increases over the entire family life cycle for 40 years. 3) Of the logistic regression analysis of home ownership on household socioeconomic variables, the homeownership was positively related with age of marriage and time since marriage, and was negatively related with education of female head. Over in this study, it is proven that home owenership is ultimate goal of most families, and it is a function of family event variables.

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Overall damage identification of flag-shaped hysteresis systems under seismic excitation

  • Zhou, Cong;Chase, J. Geoffrey;Rodgers, Geoffrey W.;Xu, Chao;Tomlinson, Hamish
    • Smart Structures and Systems
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    • v.16 no.1
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    • pp.163-181
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    • 2015
  • This research investigates the structural health monitoring of nonlinear structures after a major seismic event. It considers the identification of flag-shaped or pinched hysteresis behavior in response to structures as a more general case of a normal hysteresis curve without pinching. The method is based on the overall least squares methods and the log likelihood ratio test. In particular, the structural response is divided into different loading and unloading sub-half cycles. The overall least squares analysis is first implemented to obtain the minimum residual mean square estimates of structural parameters for each sub-half cycle with the number of segments assumed. The log likelihood ratio test is used to assess the likelihood of these nonlinear segments being true representations in the presence of noise and model error. The resulting regression coefficients for identified segmented regression models are finally used to obtain stiffness, yielding deformation and energy dissipation parameters. The performance of the method is illustrated using a single degree of freedom system and a suite of 20 earthquake records. RMS noise of 5%, 10%, 15% and 20% is added to the response data to assess the robustness of the identification routine. The proposed method is computationally efficient and accurate in identifying the damage parameters within 10% average of the known values even with 20% added noise. The method requires no user input and could thus be automated and performed in real-time for each sub-half cycle, with results available effectively immediately after an event as well as during an event, if required.