• Title/Summary/Keyword: logit analysis

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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
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    • v.16 no.2
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    • pp.405-438
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    • 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.

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A Study of Coping Behavior Types of Private Education Expenditure (사교육비 부담의 대처행동 유형에 관한 연구)

  • 김시월;박배진
    • Journal of the Korean Home Economics Association
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    • v.37 no.10
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    • pp.67-80
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    • 1999
  • The purpose of this study is to classify the types of coping behaviors of the burden of private education expenditure and to identify the characteristics of the households representing certain coping behaviors. For empirical analysis, the data of the study were collected from 868 housewives living in Seoul and Sungnam. The statistical methods adopted for data analysis are frequency, percentage, mean, Factor analysis, Cluster analysis and Logit analysis. In this study, it is assumed that the coping behaviors are classified by three factors - financial management, negative, positive. The reset of the logit analysis shows that private education expenditure and subjective burden are the most critical variables for classifying the coping behaviors.

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Estimating an Incheon New Ports' allotment rate for metropolitan cargo using Logit Model - Focusing on a trans pacific route - (Logit모형을 이용한 인천 신항의 수도권 화물 분담률 추정에 관한 연구 - 미주항로를 중심으로 -)

  • Lee, Yun Chan;Lee, Taehwee;Yeo, Gitae
    • Journal of Korea Port Economic Association
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    • v.30 no.1
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    • pp.143-157
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    • 2014
  • Most metropolitan shippers (MS) have used trans pacific route (TPR) or Asia-Europe route (AEP) through Busan port (BP). If Incheon new port (INP) sets up the deep water-depths under -16m, however, there might be a change in MS's port choice behavior (PCB). In this respect, the aim of this paper is to estimate an INP's allotment rate for metropolitan cargo using Logit Model (LM) considering changing global shipping and port environment. This paper reviews previous studies related to shippers' PCB then sets up the utility function (UF) including the dummied dependent variable which is comprised of BP and INP, and some independent variables such as the frequency of liner shipping route (TPR), inland transportation fare, and the rate of container terminal service. As a result of LM analysis, BP has 0.6618 and INP has 0,3382.

Forecasting the Demand for the Substitution of Next Generations of Digital TV Using Choice-Based Diffusion Models (선택기반확산모형을 이용한 디지털 TV 수요예측)

  • Jeong U-Su;Nam Seung-Yong;Kim Hyeong-Jun
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.05a
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    • pp.1116-1123
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    • 2006
  • The methodological framework proposed in this paper addresses the strength of the applied Bass model by Mahajan and Muller(1996) that it reflects the substitution of next generations among products. Also this paper is to estimate and analyze the forecast of demand for products that do not exist in the marketplace. We forecast the sales of digital TV using estimated market share and data obtained by the face to face Interview. In this research, we use two methods to analyze the demand for Digital TV that are the forecasting the Demand for the Substitution and binary logit analysis. The logit analysis is to estimate the decisive factor of purchasing digital TV. The decisive factors are composed of purchasing plan, region, gender, TV price, contents, coverage, income, age, and TV program. We apply the model to South Korea's market for digital TV. The results show that (1) Income, region and TV price play a prominent part which is the decisive factor of purchasing digital TV. (2) We forecaste the demand of digital TV that will be demanded about 18 millions TVs in 2015

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Estimating Value of Time for Freight Transportation in Freight Items using Logit Model (로짓모형을 이용한 화물 품목별 화물운송 시간가치 산정 연구)

  • Ju, Ji-Won;Ha, Heon-Gu
    • Journal of Korean Society of Transportation
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    • v.27 no.5
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    • pp.163-168
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    • 2009
  • Travel time reduction is a benefit in economic analysis. Freight transportation time reduction benefits influence the logistics industry. The objectives of this paper are to estimate the Value of Time (VOT) for transportation time reduction with logit methodology. The data of Gyeonggi-do's domestic road freight transport in 2007 are used. VOT was estimated for five commodities. An average VOT of 19,946 won/vehicle-hr was calculated; transport of electronic parts had the highest VOT. This study will help provide direction for improving Korea's road infrastructure for freight.

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
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    • v.13 no.3
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    • pp.69-77
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    • 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.

Wife-older Marriage and Economic Factors : Empirical Analysis (우리나라 여성연상 결혼의 경제적 요인 : 실증분석)

  • Sung, Nak-Il;Jo, Dong-Hyuk
    • Korea journal of population studies
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    • v.33 no.3
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    • pp.1-30
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    • 2010
  • This study examines difference in age at marriage between spouses and more importantly, investigates into the economic and social factors affecting the ratio or probability of wife-older marriages. Empirical analysis is carried out by applying both logit model and multinomial logit model to an independently pooled cross-section over 2004-2007. The data was collected mainly from the micro data service system of the Statistics Korea. Empirical results indicate that a wife-older marriage was more likely as a wife was more educated and was a larger income earner than a husband. On the other hand, a wife's educational and income level themselves had few systematic relationships with the probability of a wife-older marriage. The probability of a wife-older marriage tended to decrease(increase) when a husband's(a wife's) marriage was the second' The study calculates the average marginal effect of difference in the income level between spouses on the probability of a wife-older marriage, which is -0.007. That is, the probability of a wife-older marriage increases by 0.7% as a husband's income level is 1 million Korean Won less than a wife's. This results presents empirical evidence against widely distributed misconception on wife-older marriage in the mass media.

Financial Distress Prediction Models for Wind Energy SMEs

  • Oh, Nak-Kyo
    • International Journal of Contents
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    • v.10 no.4
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    • pp.75-82
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    • 2014
  • The purpose of this paper was to identify suitable variables for financial distress prediction models and to compare the accuracy of MDA and LA for early warning signals for wind energy companies in Korea. The research methods, discriminant analysis and logit analysis have been widely used. The data set consisted of 15 wind energy SMEs in KOSDAQ with financial statements in 2012 from KIS-Value. We found that five financial ratio variables were statistically significant and the accuracy of MDA was 86%, while that of LA is 100%. The importance of this study is that it demonstrates empirically that financial distress prediction models are applicable to the wind energy industry in Korea as an early warning signs of impending bankruptcy.

A Study on the Forecast of Construction Business Failure according to Financial Ratio (재무비율을 이용한 건설기업의 도산 예측)

  • Heo, Woo-Young;Suk, Chang-Mok;Kim, Wha-Jung
    • Journal of the Korea Institute of Building Construction
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    • v.4 no.2
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    • pp.137-142
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    • 2004
  • There was the time of IMF(1998) that management condition of construction business had been the worst. After that time, structural regulation was completed and financial structure was returned to normalcy(2001). At that time, the aim of this paper is that fifteen construction business are researched for process of management condition and capital structure after they is selected as samples for three years, also failure of two-groups is predicted as statistics analysis and multiple discriminant analysis for them. In this paper, It is researched financial statement of business by the forecast experiment of failure and analyzed statistically possibility of failure and success for financial ratio. For them, the fifteen companies of failure and the fifteen companies what were not the failure, for listed company, and the fourteen variables are selected and they are analyzed statistically according to Logit Analysis.

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
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    • v.30 no.4
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    • pp.61-70
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    • 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.