• Title/Summary/Keyword: 토빗모형

Search Result 65, Processing Time 0.021 seconds

Private Pension Dependency of Korean and U.S. Households (한국과 미국 가계의 사적연금자산 의존도)

  • Yuh, Yoonkyung
    • 한국노년학
    • /
    • v.36 no.3
    • /
    • pp.809-826
    • /
    • 2016
  • This study analyzed private pension dependency of Korea and U.S. households using the most recent dataset of two countries. For this purpose, 2013 Korean Retirement and Income Study(KReIS) of national pension research institute in Korea and 2013 SCF(Survey of Consumer Finances) of FRB in U.S. were used. The private pension dependency was defined as the proportion of private pension wealth among total financial wealth in each household and tobit model was used to investigate determinants of private pension dependency of the two countries. After controlling for other factors, household income and net worth, age, educational attainment, and health status of householder were crucial determinants of private pension dependency for both countries. Householder's age, educational attainment, and health tend to increase the private pension dependency in Korea and U.S. However, household income and net worth affected the private pension dependency opposite direction. The private pension dependency increased with high level of income and net worth in Korea, while it decreased with high level of income and net worth in U.S. Results of this study provide useful implications for future pension system and policy in Korea.

Developing the Pedestrian Accident Models Using Tobit Model (토빗모형을 이용한 가로구간 보행자 사고모형 개발)

  • Lee, Seung Ju;Kim, Yun Hwan;Park, Byung Ho
    • International Journal of Highway Engineering
    • /
    • v.16 no.3
    • /
    • pp.101-107
    • /
    • 2014
  • PURPOSES : This study deals with the pedestrian accidents in case of Cheongju. The goals are to develop the pedestrian accident model. METHODS : To analyze the accident, count data models, truncated count data models and Tobit regression models are utilized in this study. The dependent variable is the number of accident. Independent variables are traffic volume, intersection geometric structure and the transportation facility. RESULTS : The main results are as follows. First, Tobit model was judged to be more appropriate model than other models. Also, these models were analyzed to be statistically significant. Second, such the main variables related to accidents as traffic volume, pedestrian volume, number of Entry/exit, number of crosswalk and bus stop were adopted in the above model. CONCLUSIONS : The optimal model for pedestrian accidents is evaluated to be Tobit model.

An Analysis of Change in Efficiency of Department of Early Childhood Education in KOREA (3주기 및 4주기 교원양성기관 평가 후 전국 대학 유아교육과 효율성 분석)

  • Song, Woon-Kyung;Song, Yun-Kyung
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.22 no.5
    • /
    • pp.517-529
    • /
    • 2021
  • This study analyzes changes in the efficiency of the Department of Early Childhood Education in Korea to examine the effectiveness of the National Evaluation for Teacher Education Institution. We provide policy implications from exploring factors influencing efficiency and comparing characteristics of efficient and inefficient departments. With 149 Department of Early Childhood Education in Korea, DEA was conducted to estimate the relative efficiency, and the Tobit model was applied to explore factors affecting efficiency. The results confirm that the Department of Early Childhood in Korea is run efficiently, though there was no change in scale efficiency and relative efficiency after the two phases of the National Evaluation for Teacher Education Institution. The results show the number of books per student was significantly lower despite a significantly higher employment rate. Efficiency of college departments, department greater than 60 (per cohort), and department in metropolitan city (except Seoul area) is confirmed greater. These results provide policy implications on developing evaluation measure and processes to improve education quality and efficiency.

A Study on the Development of an Estimation Model: The Psychological Cost of Traffic Accidents (교통사고의 심리적 비용 산정모형 개발에 관한 연구)

  • Yu, Jeong-Bok;Shon, Eui-Young
    • Journal of Korean Society of Transportation
    • /
    • v.26 no.3
    • /
    • pp.211-221
    • /
    • 2008
  • This dissertation studied the psychological cost, which converted the mental pain suffered by the victim of a traffic accident and his/her family, friends and people around him/her into social costs. Three methodologies - Choice Experiments, Direct Question and Dichotomous Choice Question - were used to design questionnaires, and models were built for each questionnaire design method. When building models, a logit model was used, which is used most frequently in probabilistic choice model. And the tobitmodel was used to make direct questionnaires. When verifying these models, although there were some differences in each model, suitability of most models and credibility of each coefficient were meaningful around the credibility level of 95%. According to the analysis, domestic psychological cost produced through the assessment model of psychological cost was 15.63 million won per person or 5.1 trillion in total, assuming 37.1% of total traffic accident cost.

Analysis of Rent-Free Determinants : Evidence from Seoul Office Market (오피스 렌트프리 결정요인 분석 : 서울시를 중심으로)

  • Han, Gwang-Ho;Kwon, Hee-Jae;Ro, Seung-Han
    • Journal of Cadastre & Land InformatiX
    • /
    • v.49 no.1
    • /
    • pp.5-15
    • /
    • 2019
  • This study is to review methodological limitations of previous studies, propose Tobit Model as an analysis model. We model used annual rent-free as dependent variable and considering to contract characteristics and building characteristics as independent variable. We model was consisted to the three model as follow: Basic model, Time control model, Quadratic model. As a result of the analysis, existing variables revealed through previous studies such as contract period, contract area, total floor area, and building age were all statistically significant. These results were robust when considering time effects. Also, floor area and annual rent-free was quadratic relationship by inverse U shape. This result provide to methodological contribution for related research. Also, provide to more accurate information for participants in seoul office market.

Estimation of Willingness-to-pay for Mitigating Crowdedness in High-speed Rail Trains (고속철도 차량 내 혼잡도 완화에 대한 지불 용의액 추정 연구)

  • Lee, Jang-Ho;Kim, Dong-Sun
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.37 no.2
    • /
    • pp.379-387
    • /
    • 2017
  • As the average load factor of High-Speed Rail (HSR) trains increased up to 98%, it caused uncomfortable crowdedness in the cabin and deteriorated the level of service to the HSR users. In this paper, we estimated the willingness-to-pay (WTP) of the HSR users for mitigating the crowdedness in the cabin. The contingent valuation method based on the stated preference data was used and the tobit model was applied for the estimation of WTP. It can be concluded that WTP for mitigating the crowdedness in the HSR trains is proportional to the congestion level of train and income level of user. Males, first-class users, not-assigned ticket users, and monthly pass users have relatively higher WTPs, while homemakers, travelers in weekends, commuters and leisure travelers have relatively lower values. The results can provide the fundamental information to estimate the benefits of mitigating crowdedness or the magnitude of governmental subsidy to railway operators for additional introduction of HSR trains.

Analysis of the Performance Determinants for Global R&D Cooperation of Korean Firms (우리나라 기업의 R&D 국제협력 성과 결정요인 분석)

  • Koh, Daeyoung;Sung, Yeolyong;Cho, Yoonae
    • Journal of Korea Technology Innovation Society
    • /
    • v.19 no.3
    • /
    • pp.604-633
    • /
    • 2016
  • In this study, we attempt to identify factors that influence the performances of Korean firms regarding global R&D cooperation, and to derive policy implications for performance improvement. The hypothetic influential factors include firms' general characteristics, purposes and types of cooperation, technology, partners and their countries, and government support. We categorize the performances of global R&D cooperation into technological, economic, and strategic performance, and analyze the effects of those factors on each of the performances as well as the overall performance. We use a standard tobit model for the overall performance, while using a multivariate tobit model for the other performances to reflect the possible correlations among them. The survey data was collected from 162 Korean firms that had previously conducted or were currently conducting global R&D cooperation.

The Actual Condition of Relational Goods and Decomposition (관계재로서 함께하는 시간의 실태와 영향요인 및 분해)

  • Noh, Hyejin
    • Korean Journal of Social Welfare Studies
    • /
    • v.48 no.3
    • /
    • pp.117-143
    • /
    • 2017
  • This study empirically analyzed the factors that intensify the unequal distribution of relational goods through the decomposition of relational gaps and the actual condition of relational goods. The results of the analysis are as follows. First, the average time for forming a relationship with family members or others is 158 minutes in 24 hours a day. Second, tobit regression analysis showed that relational goods time increased as they were employed, more family members, and ownership of their home. On the other hand, relational goods decreased when they were female, double-working, aged, divorced, and increased working time. The increase in household income decreased family relational goods, but increased the time with others. Based on the results of this analysis, this study proposed reduction of working time as a way to increase the happiness by sharing the relationship with meaningful people.

Measuring Social Benefit of Mitigation of In-Vehicle Congestion Level in Intercity Buses (광역버스 차내혼잡도 완화의 경제적 편익측정에 관한 연구)

  • RYU, Sikyun;HAN, Siwon;YOU, Jaesang
    • Journal of Korean Society of Transportation
    • /
    • v.34 no.6
    • /
    • pp.523-534
    • /
    • 2016
  • The purpose of this study is to develope a method for measuring social benefit by mitigating in-vehicle congestion level in intercity buses. Contingent valuation method and Tobit model are adopted for social benefit evaluation method. One thousand passengers were interviewed with 992 obtained valid samples. Tobit models with age, income level, and bus boarding times as explanatory variables are selected to estimate the willingness to pay for the mitigation of intercity bus in-vehicle congestion. Statistically and logically, two models with age or income level as explanatory variables are turned out to be valid. The intercity bus service supply status and usage are examined and the bus users who have willingness-to-pay for the intercity bus in-vehicle congestion mitigation have been identified. In case of the 'no standing' rules implemented to the intercity bus, the annual economic benefit from the service is estimated to be 14.7 billion won.

Developing the Pedestrian Accident Models of Intersections using Tobit Model (토빗모형을 이용한 교차로 보행자 사고모형 개발)

  • Lee, Seung Ju;Lim, Jin Kang;Park, Byung Ho
    • Journal of the Korean Society of Safety
    • /
    • v.29 no.5
    • /
    • pp.154-159
    • /
    • 2014
  • This study deals with the pedestrian accidents of intersections in case of Cheongju. The objective is to develop the pedestrian accident models using Tobit regression model. In pursuing the above, the pedestrian accident data from 2007 to 2011 were collected from TAAS data set of Road Traffic Authority. To analyze the accident, Poisson, negative binomial and Tobit regression models were utilized in this study. The dependent variable were the number of accident by intersection. Independent variables are traffic volume, intersection geometric structure and the transportation facility. The main results were as follows. First, Tobit model was judged to be more appropriate model than other models. Also, these models were analyzed to be statistically significant. Second, such the main variables related to accidents as traffic volume, pedestrian volume, number of traffic island, crossing length and the pedestrian countdown signal systems were adopted in the above model.