• Title/Summary/Keyword: Ordered logit analysis

Search Result 73, Processing Time 0.029 seconds

Analysis of Multicategory Responses with Logit Model on Earlyold Age Pension

  • Kim, Mi-Jung
    • Journal of the Korean Data and Information Science Society
    • /
    • v.19 no.3
    • /
    • pp.735-749
    • /
    • 2008
  • This article suggests application of logit model for analysis of multicategory responses. Referring to the reference category, characteristic of each category is obtained from analysis of polytomous logit model. With National Pension data it is illustrated that application of logit model helps it possible to find significant factors which may not be found only with polytomous logit model. Application of the logit model is done by reducing the number of categories. Categories are grouped into the former and the latter group according to reference category. Extra finding of significant factor was possible from logistic regression analysis for the two groups after removing the reference category. It is expected that this application would be helpful for finding information and characteristics on ordered multicategory responses where the proportional odds model does not fit.

  • PDF

Severity Analysis of the Pedestrian Crash Patterns Based on the Ordered Logit Model (Ordered Logit Model을 이용한 보행자 사고 심각도 요인 분석)

  • Choi, Jai-Sung;Kim, Sang-Youp;Hwang, Kyung-Sung;Baik, Seung-Yup
    • International Journal of Highway Engineering
    • /
    • v.11 no.1
    • /
    • pp.153-164
    • /
    • 2009
  • This Paper presents the severity analysis result of the year 2006 national pedestrian crashes using the data base of 37,589 records prepared for the National Police Bureau. A set of attributing factors considered to affect pedestrian crash patterns were selected, and their contributing effects were investigated by applying the Ordered Logit Model. This model was selected because this model has been able to afford satisfactory results when the dependent variable involved ordered severity levels; fatal, injury, and property- damage-only in this investigation. The investigation has unveiled the followings; First, the pedestrian crash patterns were dependent upon human -drivel and pedestrian- characteristics including gender, age, and drinking conditions. Second, other contributing factors included vehicle, roadway geometric, weather, and hour of day characteristics. Third, seasonal effect was not contributive to crash patterns. Finally, the application of the Ordered Logit Model facilitated the ordered severity level analysis of the pedestrian crash data. This paper concludes that conventional wisdom on the pedestrian crash characteristics is largely truthful. However, this conclusion is limited only to the data used in this analysis, and further research is required for its generalization.

  • PDF

A Study on Determinants of Use and Satisfaction of Reverse Mortgage Considering Socioeconomic Characteristics of the Elderly (고령층의 사회경제적 특성을 고려한 주택연금 이용 및 만족도 결정요인 분석)

  • Lee, Jae Song;Choi, Yeol
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.37 no.2
    • /
    • pp.437-444
    • /
    • 2017
  • The purpose of this study is to analyze the factors affecting the reverse mortgage utilization and satisfaction of the elderly. Based on the survey data of the reverse mortgage demand in 2016, we carried out empirical analysis using the binary logit model and the ordered logit model. First of all, as a result of the empirical analysis using the binary logit model, the determinants of using the reverse mortgage were age, region, assets, household member, children with financial help, and education level. As a result of the empirical analysis using the ordered logit model, the determinants of the satisfaction level of the reverse mortgage were estimated to be age, gender, and region. Based on the results of the empirical analysis, it is necessary to find a way to increase the participation rate of the reverse mortgage and to improve the satisfaction of the user.

Analysis of Consumer Preference of Nonghyup by Ordered Logit Model in the Chungnam Province (순서화 로짓모형을 이용한 농협의 선호도 분석: 충남지역 주민을 대상으로)

  • Woo, Jae-Young
    • Journal of Agricultural Extension & Community Development
    • /
    • v.16 no.2
    • /
    • pp.405-438
    • /
    • 2009
  • This study aims to analyse the consumer and regional dwellers preferences of nonghyup influenced by contributions of socio-economical using ordered logit model. The survey data were obtained from 225 adults in Chungnam province, cross sectional data in 2007. This paper especially estimates the impact of socio-economic characteristics, such as sex, occupation, school career, and emotional and subjective recognition of contributions of regional socio-economical and culture development, social welfare, It also examines the impact of recognition of cooperational level with local government's policy, customer satisfaction ratings, degree of business ethics. The main results are as follows; the consumer and regional dwellers preferences of nonghyup is not affected by sex, occupation, school career. But the consumer and regional dwellers preferences of nonghyup is influenced by emotional and subjective recognition of contributions of regional socio-economical and culture development, social welfare, It also influenced by emotional and subjective recognition of policy cooperation level with local government, customer satisfaction ratings, degree of business ethics.

  • PDF

A Study on the Factors Concerning Non-Work Trip of the Elderly People : A case of Seoul Metropolitan Area (고령자의 비업무통행에 영향을 미치는 요인 분석: 수도권 사례를 중심으로)

  • Hahn, Jin-Seok;Oh, Sung-Ho;Park, Jong-Il;Kim, Joon-ki
    • Journal of Korean Society of Transportation
    • /
    • v.30 no.4
    • /
    • pp.61-70
    • /
    • 2012
  • This research explores different non-work trip characteristics between the elderly group (65+) and the working age group (20-64) using heteroscadastic ordered logit model. The analysis is based on travel survey data of Seoul Metropolitan area in 2006. The results show that age induces heteroscadasticity and the model provides a better fit than ordered logit model. The factors increasing the number of non-work trip of the elderly were driver's license and household income. Conversely, the number of non-work trips decreased in those groups that were male, with a job, in aging, and with the number of preschool children. The factors having opposite effects (increased the number of non-work trips in the working age groups and decreased in the elderly group) between the elderly group and working age group were age and job.

Analysis of Bus Accident Severity Using K-Means Clustering Model and Ordered Logit Model (K-평균 군집모형 및 순서형 로짓모형을 이용한 버스 사고 심각도 유형 분석 측면부 사고를 중심으로)

  • Lee, Insik;Lee, Hyunmi;Jang, Jeong Ah;Yi, Yongju
    • Journal of Auto-vehicle Safety Association
    • /
    • v.13 no.3
    • /
    • pp.69-77
    • /
    • 2021
  • Although accident data from the National Police Agency and insurance companies do not know the vehicle safety, the damage level information can be obtained from the data managed by the bus credit association or the bus company itself. So the accident severity was analyzed based on the side impact accidents using accident repair cost. K-means clustering analysis separated the cost of accident repair into 'minor', 'moderate', 'severe', and 'very severe'. In addition, the side impact accident severity was analyzed by using an ordered logit model. As a result, it is appeared that the longer the repair period, the greater the impact on the severity of the side impact accident. Also, it is appeared that the higher the number of collision points, the greater the impact on the severity of the side impact accident. In addition, oblique collisions of the angle of impact were derived to affect the severity of the accident less than right angle collisions. Finally, the absence of opponent vehicle and large commercial vehicles involved accidents were shown to have less impact on the side impact accident severity than passenger cars.

Effects of Utilizing of Weather and Climate Information on Farmer's Income (기상·기후 정보 활용이 농가 소득에 미치는 효과 분석)

  • Jeong, Hak-Kyun
    • Journal of Climate Change Research
    • /
    • v.9 no.3
    • /
    • pp.283-291
    • /
    • 2018
  • The purpose of this study is to analyze the effects of useof weather and climate information on farmer income. To accomplish the objective of the study a farm survey was conducted, whose target respondents were local correspondents and reporters of the Korea Rural Economic Institute. The ordered logit model was employed for empirical analysis on determining whether use of weather and climate information affects farmer income. The analysis results show that the greater is farmer use of short-range weather forecasts, the higher is the income. The results also show higher farmers income with use of short-range special weather forecasts. Based upon the empirical results, the dissemination of more precise weather and climate information is suggested to increase farmer income.

Characteristics of Geometric Conditions Affecting Freeway Travel Speed : Focused on Speed Limit Change (고속도로 주행속도 변화에 영향을 미치는 도로기하구조 특성분석 : 제한속도 상향전후 비교를 중심으로)

  • Hong, Sungmin;Oh, Cheol
    • International Journal of Highway Engineering
    • /
    • v.16 no.5
    • /
    • pp.83-90
    • /
    • 2014
  • PURPOSES : The purpose of this study is to identify the factors affecting the effectiveness of speed limit change that is defined as the amount of increased travel speed. METHODS : A ordered logit model was adopted to analyze the relationship between the change in travel speed and contributing factors. A stretch of Kyungbu freeway was selected for the analysis because the Korea expressway corporation has raised speed limit from 100km/h to 110km/h since September 1st in 2010. RESULTS : The results showed that geometric design elements, speeding cameras, and section length were identified as factors contributing the effectiveness. Contributing geometric design elements include the number of horizontal curves and vertical curves that do not meet the design requirement with 110km/h speed limit. CONCLUSIONS : The outcome of this study will be used for establishing various traffic operations and control strategies for freeway speed management.

Analysis of Residential Environment Satisfaction and Residential Preference in Daegu Downtown (대구 도심의 주거환경만족도와 거주의향 분석)

  • Song, Heung-Soo;Im, Jun-Hong;Kim, Han-Soo
    • Journal of the Korean housing association
    • /
    • v.26 no.5
    • /
    • pp.133-141
    • /
    • 2015
  • As an empirical study on Daegu Downtown showing decentralization phenomenon, the purpose of this study is, based on the residential satisfaction research targeting the Downtown residents, to analyze the residential environment satisfaction and residential preference. Considering the parameters of measurement, we used the Ordered Logit Model and Logistic Regression. The results are as follows: First, the comprehensive residential environment satisfaction is relatively lower than that in 2008 and the residential preference in Downtown is similar to that of the past. Second, among the 7 factors that constitute the Downtown residential environment, the house, the landscape, and the security have a relatively large influence on the comprehensive residential environment satisfaction. Third, the residential environment factors which affect those who are hoping continuous Downtown residence are the safety, the house and the complex.

An Analysis on the Health and the Medical Demand in Korea: Using the Grossman Model (우리나라의 건강수요 및 의료수요에 대한 분석: Grossman Model을 중심으로)

  • Hwang, Yongha;Sakong, Jin
    • Health Policy and Management
    • /
    • v.29 no.3
    • /
    • pp.332-341
    • /
    • 2019
  • Background: This study analyzes the effects of the individual's health behavior on the health and the medical demand for the management of health and medical expenses. Methods: This study uses the Korea Health Panel Survey data from 2010 to 2015. We utilize the panel ordered logit model and the panel Tobit model with the subjective health status and the medical expenses as the dependent variables. Results: Chronic diseases would cause the deterioration of his or her health and the increase in medical expenses. Smoking and drinking alcohol would deteriorate one's health. The total amount of cigarettes increases medical expenses. Exercises could make people healthier, whereas excessive exercise might increase medical expenses. Private health insurance would increase medical expenses. Conclusion: Since health could reduce the medical expenses, people should promote one's health by changing one's behavior for health.