• Title/Summary/Keyword: Tobit Regression Analysis

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Time, Energy, Monetary and Psychological Employment Cost of Working Wife compared to full-time housewife (취업주부의 시간, 에너지, 금전, 심리적 취업비용에 관한 연구)

  • 문숙재
    • Journal of the Korean Home Economics Association
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    • v.33 no.6
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    • pp.73-88
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    • 1995
  • the purpose of this study was to compare the consumption of personal and material resources between working wives and full-time housewives and to conceptualize the cost of working wives by the degree of additional consumption of the resources. The proposed costs of working wives included the long working time (time cost), the short leisure time(energy cost), the increase of expenditures fro services and the serious role conflict(psychological cost). Three methods, t-test, simple regression analysis, multiple regression analysis/tobit analysis were used to analyse the differences in consumption of resources between two groups. On the basis of the analysed results, the employment cost of working wives were discussed.

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

  • Noh, Hyejin
    • Korean Journal of Social Welfare Studies
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    • v.48 no.3
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    • pp.117-143
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    • 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.

Drivers' Acceptable levels of the Accuracy of Travel Time Information and Their Valuations (통행시간 정보 정확도에 대한 운전자들의 허용수준과 화폐가치)

  • Yu, Jeong Whon;Choi, Seo Yoon
    • International Journal of Highway Engineering
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    • v.14 no.6
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    • pp.139-148
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    • 2012
  • PURPOSES : The accuracy of travel time information is a key measure of effectiveness and reliability of advanced traveler information systems. This study aims at investigating drivers' perception on the acceptable level of information accuracy and their corresponding valuations. METHODS : A questionnaire survey was executed for collecting driver perception data to capture the expectation level of travel time information provided and their willingness to pay for the information. A Tobit model was adopted for exploring the relationship among the acceptable level, driver socioeconomic characteristics and travel attributes. Since drivers' willingness to pay for accurate travel time information can be different according to their travel lengths, a piecewise linear regression model was developed to capture the sensitivity of values of travel time information to travel length. RESULTS : The analysis results suggest that trip purpose and travel time are two dominant factors to determine drivers' acceptable level of travel time information. For business and short trips, drivers want more accurate information than for non-business and long trips. Drivers' willingness to pay for travel time information also varies depending on their incomes, trip purposes and travel lengths. The results also show that drivers' valuation of travel time information provided is sensitive to their travel length. For longer trips, drivers are less sensitive to travel time information and then put less value on the information provided. CONCLUSIONS : Censored nonlinear regression models are developed to estimate drivers' acceptable accuracy for travel time information and their valuation using questionnaire survey data. The findings on drivers perception to the required accuracy of travel time information and their corresponding willingness to pay can be used in the design and deployment of advanced traveler information system to improve its effectiveness and usefulness through high compliance.

The Evaluation of Administrative Efficiency of the Korean University Using DEA Model (DEA 모형을 이용한 국내 대학의 경영 효율성 평가)

  • Yoo, Sungjin;Kim, Yonghee;Kim, Joohoon;Choi, Jeongil
    • Journal of Korean Society for Quality Management
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    • v.42 no.4
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    • pp.647-664
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    • 2014
  • Purpose: The purpose of this study was to evaluate administrative efficiency of the Korean university and to identify the factors which may affect on the efficiency of universities. In addition, last purpose of this study was to compare correlation among administrative, research and education model. Methods: The collected data through Higher Education in Korea were analysed using DEA (Data Envelopment Analysis). Furthermore, in order to provide the better accurate results by removing the bias of the results, this paper implements Bootstrap DEA. It also analyzed the causes of efficiency by Tobit Regression after setting the dependent variable as a proposed efficiency score and compared correlation analysis results between other models. Results: The results of this study are as follows; First, the Korean universities showed low administrative efficiencies. Second, efficiency of national universities are higher than it of private universities. Finally, the administrative and research education model have statistically significant correlation. However, usually many Korean universities focus their resources on education performance such as employment and rates to attract new students than research performances. Conclusion: This study shows that the administrative efficiency positively affects both research and educational efficiency. Approximately 70% of the Korean universities needs to improve their administrative efficiencies and to pay attention to enhance their poor services, low-level performances.

Regional Total Factor Energy Efficiency and its Determinants of the Korean Manufacturing Sector (우리나라 16개 시·도의 제조업부문 총요소 에너지 효율성 및 결정요인 분석)

  • Park, Changsuh;Seo, Yun Seok
    • Journal of the Korean Regional Science Association
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    • v.33 no.1
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    • pp.3-16
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    • 2017
  • This paper analyzed 16 regional total factor energy efficiency (TFEE) of the Korean manufacturing sector using data envelopment analysis method for the period of 2005-2013. According to the empirical results, it is necessary to use TFEE as well as partial energy efficiency defined by the ratio of energy usage to output (energy intensity) when we compare energy efficiency. Secondly, TFEE in the Korean manufacturing sector is quite different across 16 regions. For example, Gangwon province should improve energy efficiency by 55% compared to Seoul, Gwangju, Ulsan, and Gyeongbuk which are located on production frontier. Furthermore, the estimation of panel tobit regression model showed that the higher non fossil fuel using, the higher production share of large-sized firms, the lower energy intensity, and the lower capital-labor ratio could have positive effect on TFEE.

A Study on the Efficiency and Productivity Change of Korean Non-Life Insurance Company After Financial Crisis (금융위기 이후 국내 손해보험회사의 효율성 및 생산성 변화 연구)

  • Park, Chun-Gwang;Kim, Byeong-Chul
    • The Korean Journal of Financial Management
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    • v.23 no.2
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    • pp.57-83
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    • 2006
  • The purpose of this paper is to analyze the efficiency and productivity change and inefficiency cause of the korean non-life insurance companies of the before($1993{\sim}1996$) and after($1998{\sim}2004$) of IMF. we use DEA (Data Envelopment Analysis) model to measure company efficiency and MPI(Malmquist productivity indices) to measure company productivity change and Tobit regression to analyze inefficiency cause. we utilize ten non-life insurance companies in korea and the time-series data for eleven from 1993 to 2004 except 1997. The empirical results show the following findings. First, total cost efficiency shows that the after of IMF decrease of 3.7% over the before of IMF and MPI change indicates that the after of IMF increase 7.7% over the before IMF. Second, the results of Tobit regression to analysis the cause of inefficiency show that total cost efficiency is positively related invested assets, acquisition expenses ratio, collection expenses ratio and is negatively related solicitors ratio, personnel expenses ratio, land & buildings expenses ratio, loss ratio, net operating expenses ratio. Especially inefficiency of small-to-mid sized companies is main cause of total cost efficiency of non-life insurance companies in korea. Small-to-mid sized companies endeavored various aspects of business strategies.

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A Study on Factors for Influence SW Development Productivity on The IT Service Company (IT Service기업의 Software개발 생산성 영향 요인에 관한 실증 연구 : SW개발 방법론 중심으로)

  • Song, Young-Woon;Kim, Wanki
    • Journal of Information Technology Services
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    • v.13 no.2
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    • pp.195-217
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    • 2014
  • This paper has explored when implementing SW development project of the IT service corporations, what factors affect its productivity in SW development methodology. The importance of the AHP analysis surveyed from the experts in IT service companies and related committee, was shown in the order of the following processes : 1) Deployment process 2) Management process 3) Establishment process. It is measured the methodology levels of establishment, deployment and management in each project using the survey results collected from project execution members and analyzed the productivity of projects that have been executed within 2 years. Using project methodology level, productivity correlation analysis, and regression analysis, this study confirms that the methodology deployment level brings positive effects significantly to SW development productivity. The significance of this study would be not only to research and analyze SW development productivity using the real project execution data but also to underline the necessities and the importance of steady research, deployment and support for SW development productivity improvement.

Analyzing Efficiency in the Seoul's Urban Bus Industry Using Data Envelopment Analysis (자료포락분석기법(DEA)을 이용한 서울 시내버스운송업의 효율성 분석)

  • 오미영;김성수;김민정
    • Journal of Korean Society of Transportation
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    • v.20 no.2
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    • pp.59-68
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    • 2002
  • Using 1996 annual observations for 69 bus firms in Seoul, this paper measures firm-level efficiency with data envelopment analysis(DEA) and identifies firm characteristics indicative of differential efficiency in these firms with Tobit regression analysis. The paper then conceptualizes that these firms produce two kinds of output(city/seat bus kilometers or city/seat bus Passengers) using four inputs (labor vehicle, fuel and maintenance). The findings show that, on an average, these firms have only a little input saving potential of 0.9 percent, while not a little output increasing potential of 12.9 percent. On the other hand, it is discovered that these firms operate more efficiently with a lower ratio of maintenance employees to total employees. Furthermore, it appears that both the ratio of seat buses to total buses and average speeds positively affect efficiency in this industry.

A Study on the Efficiency Analysis of Abalone Aquaculture in Wando Region Using Stochastic Frontier Approach (SFA를 이용한 전복 양식업의 지역별 효율성분석에 관한 연구 - 완도지역을 중심으로 -)

  • Kim, Hye-Seong;Song, Jung-Hun
    • The Journal of Fisheries Business Administration
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    • v.43 no.2
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    • pp.67-77
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    • 2012
  • Based on the survey on aquaculture management status in Nohwa-eup, Bogil-myeon, Wando-eup in Wando region, this study aimed to estimate productive efficiencies of abalone aquaculture production using a stochastic frontier approach (SFA) and to find out their determinants. In the analysis, a Cobb-Douglas production function with an inefficiency term that follows an halfnormal distribution was assumed for the estimation of productive efficiencies. Then, based on the outcomes of productive efficiencies, determinants of productive efficiency were investigated using a tobit regression model. Results showed that the average inefficiency was estimated to be 10% and the production size would be a statistically significant variable for the production. In addition, it was shown that the cage installing method would be an important factor affecting to the level of productive efficiency.

Estimation of Willingness to Pay (WTP) of the Cost of Safe Transportation for Freight Cars Using the Contingent Valuation Method (CVM) (조건부가치측정법(CVM)을 이용한 일반형 화물자동차 안전운송원가 지불의사(WTP) 추정)

  • Hong, Sun-Yong;Kim, Si-Hyun
    • Journal of Navigation and Port Research
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    • v.45 no.6
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    • pp.346-351
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    • 2021
  • With the goal of eradicating overwork, overload, and speeding of general freight cars(cargo) by the Ministry of Land, Infrastructure and Transport, Infrastructure and Transport, the "The Fare of safe transportation for freight cars System" has been enforced since 2020. 'The Fare of safe transportation for freight cars' rate for each item is being applied and supplemented, but the 'The Cost of safe transportation for freight cars' of general freight cars (cargo) and steel items is under discussion. The purpose of this study was to estimate the willingness to pay( WTP) for cargo. A survey was conducted on shippers, transportation companies (arrangers, carriers), and cargo drivers (using direct questioning among contingent valuation method (CVM) and the Tobit Regression analysis was conducted, and the average and median values of freight rates were derived using the estimated results, and the willingness to pay by tonnage of freight cars was confirmed. It is expected that the results of this study can be used as a reference to the "The Fare of safe transportation for freight cars Committee" an organization for deliberation and resolution of the 'The Cost of safe transportation for freight cars'.