• Title/Summary/Keyword: 로짓회귀분석

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Corporate Life cycle and Restructuring (기업 수명주기와 구조조정)

  • Kim, Jeong-Kyo;Kim, A-Hyeon
    • Journal of Digital Convergence
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    • v.18 no.6
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    • pp.217-223
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    • 2020
  • The purpose of this study is to examine the restructuring strategies that are selected according to the corporate life cycle and to provide evidence that restructuring strategies that are chosen when firms face financial difficulties can have a positive impact on corporate restructuring. This study is logistic regression analysis of 3,593 samples of companies listed on Korea Exchange from 2001 to 2016. The results of this study show that a company that is growing through the expansion of its size and investment can overcome the financial difficulties of the company. And this study finds evidence that the declining firms use the capital increase or debt issuance to revive the corporate regeneration. The results of this study suggest that it is important to consider the life cycle at the time of corporate restructuring and select the appropriate strategy accordingly.

The Analysis of Factors affecting Expressway Accident Involving Human Injuries using Logit Model (로짓모형을 활용한 고속도로 인적피해에 영향을 주는 요인분석)

  • Seo, Im-Ki;Lee, Ki-Young;Lee, Seong-Kwan;Park, Je-Jin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.11 no.3
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    • pp.102-111
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    • 2012
  • Expresway traffic accident is fatal accident by high speed, especially human injury is a great social issue. This paper aims to identify characteristic differences of highway accidents that involve human injuries or not. To analysis the elements that affect the two types of accidents used the logistic regression model. The analysis showed that human injury accident rate is increased in case of straight road, flat, or cut-slope areas, barriers, male driver, and older driver. These results provide the ground for actions to counter the problems. By discovering factors for accidents leading to fatality, this study can provide important implications for authorities that establish highway safety measures and policies in preventing human injuries or deaths from car accidents.

A CRM Study on the Using of Data Mining - Focusing on the "A" Fashion Company - (데이타마이닝을 이용(利用)한 CRM 사례연구(事例硏究) - A 패션기업(企業)을 중심(中心)으로 -)

  • Lee, Yu-Soon
    • Journal of Fashion Business
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    • v.6 no.5
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    • pp.136-150
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    • 2002
  • In this study, we proposed a method to be standing customers as the supporting system for the improvement of fashion garment industry which was the marginal growth getting into full maturity of market. As for the customer creation method of Fashion garment company is developing a marketing program to be standing customer as customer scoring to estimate a existing customer‘s buying power, and figure out minimum fixed sales of company to use a future purchasing predict. This study was a result of data from total sixty thousands data to be created for the 11 months from september. 2000 to July. 2001. The data is part of which the company leading the Korean fashion garment industry has a lot of a customer purchasing history data. But this study used only 48,845 refined purchased data to discriminate from sixty thousands data and 21,496 customer case with the exception of overlapping purchased data among of those. The software used to handle sixty thousands data was SAS e-miner. As the analysis process is put in to operation the analysis of the purchasing customer’s profile firstly, and the second come into basket analysis to consider the buying associations for Association goods, the third estimate the customer grade of Customer loyalty by 3 ways of logit regression analysis, decision tree, Artificial Neural Network. The result suggested a method to be estimate the customer loyalty as 3 independent variables, 2 coefficients. The 3 independent variables are total purchasing amount, purchasing items per one purchase, payment amount by one purchasing item. The 2 coefficients are royal and normal for customer segmentation. The result was that this model use a logit regression analysis was valid as the method to be estimate the customer loyalty.

A Study on the Measurement and Effect Factors of Productivity of the Korean Ocean Carriers (금융위기 이후 국적 외항선사의 생산성 측정과 영향요인에 관한 연구)

  • Nam, Hyung-Sik;Ahn, Ki-Myung
    • Journal of Navigation and Port Research
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    • v.44 no.4
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    • pp.338-346
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    • 2020
  • In this study, we first measured the Malmquist productivity index by DEA among the Korean ocean carriers. Second, it was intended to present measures to improve productivity by identifying the influence and discriminating power between productivity and the major financial ratios (profitability, financial stability, liquidity, efficiency and value-added productivity). Compared to 2017, there are 11 more shipping carriers with decline in productivity (MPI) than those with an increase in 2018. The increase in productivity is attributed to an increase in the Technology Change Index (TCI) affected by the external environment. There is strong significant correlation between the productivity (MPI) and the management efficiency (CRS). Additionally, the TECI (TECHI) index of the technological efficiency changes from internal factors of the shipping carrier is significantly higher than that of the efficient shipping carrier. This is because of the differences in scale efficiency. The ratio of charter cost/sales is also lower than that of the carriers with high productivity (0.17) and with low productivity (0.21). With 7% of the shipping carrier with MPI>1, only 1% of MPI <1 is found to have a significant impact on its productivity.

Multiple Regression Analysis between Weather Factor and Line Outage using Logit Model (로짓(Logit) 모델을 이용한 날씨요소와 송전선로 고장의 다중회귀분석)

  • Shin, Dong-Suk;Lee, Youn-Ho;Kim, Jin-O;Lee, Baek-Seok;Bang, Min-Jae
    • Proceedings of the KIEE Conference
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    • 2004.11b
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    • pp.187-189
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    • 2004
  • This paper investigates the effect of weather factors(such as winds, rain, snows, temperature, clouds and humidity) on transmission line outages. The result shows that weather variables have significant effects on the transmission line historical outages and the relationship between them is nonlinear. Multiple regression analysis using Logit model is proved to be appropriate in forecasting line failure rate in KEPCO systems. It could also provide system operators with useful informations about system operation and planing.

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Factors Influencing on the Turnover Intention of Female Care Workers (돌봄 여성 노동자의 노동특성이 이직의사에 미치는 영향)

  • Kim, Min-Ju;Kim, Nam-Sook
    • Korean Journal of Family Social Work
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    • no.43
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    • pp.37-59
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    • 2014
  • The purpose of this study is to analyze and find the relative importance of the factors impacting on the intent to leave among the female care worker's the labor properties, Total 540 questionnaire were distributed and collected from 387 female care workers working at the area of Daegu and GyeongBuk. The logistic regression analysis was used to analyze the relative importance among the factors. The results of the study are the followings: Academic ability, lower subjective-evaluation of remuneration, non-business contracts, labor intensity, the relationship between the user, the relationship between the agency providing are factors influencing on the turnover intention. In other words, higher education, lower subjective-evaluation of remuneration, more work than the contract, higher labor intensity, the female care workers have higher probability of turnover intention. Based on the results of the study, this paper suggests some implications as policy and practice.

A Study on Factors Influencing Needs for Personal Assistance Service in the Workplace for People with Severe Disabilities (중증장애인의 근로지원인서비스 욕구에 영향을 미치는 요인에 관한 연구)

  • Han, Kyung-Sung
    • Korean Journal of Social Welfare
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    • v.63 no.3
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    • pp.29-53
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    • 2011
  • This paper analyzed factors to affect needs for personal assistance service in the workplace for people with disabilities. The statistical analyses adapted in this study were the Frequency Analysis, Ordered Logit Analysis, Multiple Regression Analysis. The results of analysis are summarized as follows. First, through the Frequency Analysis many people with severe disabilities in the workplace found to have a high desire of the personal assistance service in the workplace, and factors like types of disability, the degree of disability, income basis found to include in the selection criteria of personal assistance service in the workplace. Second, through Ordered Logit Analysis and Multiple Regression Analysis factors to affect needs for personal assistance service in the workplace for people with disabilities found to include factors like residential district, age, level of education, assistance activities of family. By the results of analysis, it is suggested practical implications and policy implications.

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A Study on Technological Innovation and Employment Performance from the Perspective of Process : Focused on Small and Medium Sized Enterprises (프로세스 관점에서의 기술혁신 및 고용성과에 관한 연구 : 중소기업을 중심으로)

  • Bong, Kang Ho;Park, Jaemin
    • Journal of Korea Technology Innovation Society
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    • v.21 no.4
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    • pp.1508-1535
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    • 2018
  • Employment in enterprises is a consecutive decision-making process based on the results of their innovative activities and it is necessary to consider this relationship as well explicitly in an analysis of the employment performance through technological innovation. Based on this critical mind, this study would analyze the structural relationships among enterprises' innovative activities, the performance of technological innovation, a compensation system and the creation of employment, reflecting the correlation of the process of the actual technology management performed simultaneously, utilizing the seemingly unrelated regression(SUR) model to estimate a simultaneous equation in addition to analyzing the relationship between technological innovation and the effect on employment with the ordered logit model to estimate a single equation as in the preceding studies. As a result of the analysis, a structural relationship could be found out, in which the execution of the compensation system would increase the performances of technical development and technology commercialization, which in turn, accelerates enterprises' employment. Especially, it is judged that enterprises' employment performance increases when technological innovation is managed from a process perspective in that the commercialization performance, as well as technical development, acts as a kind of hurdle in the effect on employment.

The Impacts of Education and Non-Labor Income on Employment Among the Elderly: An Estimation with a Panel Logit Model to Address the Problem of Endogenous Predictors (교육수준과 비근로소득이 고령자 취업에 미치는 영향: 내생성을 고려한 패널로짓 모형 추정)

  • Kim, Cheoljoo
    • 한국사회정책
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    • v.23 no.1
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    • pp.95-123
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    • 2016
  • As Korean society grows rapidly older, a systematic analysis of the determinants of labor supply behavior among the elderly becomes a prerequisite for designing more effective senior employment policies and income security regime for the elderly. Literatures review shows that a majority of previous researches have been ignoring the problem of "endogenous predictor" especially when it comes to the estimation of the effects of the two key variables, education and non-labor income, on labor supply decisions among older people. They have failed to take into consideration the unobserved heterogeneities which might affect both labor supply decisions of the elderly and their levels of education and non-labor income, which means, according to some econometric literatures, that the estimated coefficients of the two predictors can be inconsistent. The paper tries to redress the endogeneity problem by employing a panel logit model with data from the 1st. to 4th. wave of the KLoSA(Korean Longitudinal Survey of Ageing) to estimate the effects of key predictors on the probability of getting jobs among older people(ages of 60 or older). Both a random effects and a fixed effects model reaffirms that non-labor income has a negative effect on the chances of being employed. And a random effects model shows that the effect of education is also negative, as has frequently been reported by previous studies. That means the effects of education and non-labor income on elderly employment remain negative after the effect of unobserved heterogeneities is controled for and the problem of endogenous predictors is redressed through an appropriate panel data analysis. These findings mean, in turn, that when Korean baby-boomers, who had acquired an unprecedentedly higher level of education and were expected to enjoy ever-larger amount of non-labor income than their preceding generations, retires in near future, their incentives to work will become much weaker and the lack of labor-force and the burden of financing increased public pension expenditure will become more troublesome. The paper concludes with recommending some policy initiatives helpful to solve these expected problems.

The Factors of the Acquisition of Qualifications and the Employment and Wage Effects of the Acquisition of Qualifications (자격취득의 결정요인 및 취업·임금효과)

  • Kim, Ahn Kook;Kang, Soon Hie
    • Journal of Labour Economics
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    • v.27 no.1
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    • pp.1-25
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    • 2004
  • In knowledge-based economy where the human capital has an strong compatibilities, the life cycle of technologies and skills get shorter, and the mobility of labor get greater, the role of the signal system of qualifications have greater importance. This article used the KLIPS(Korean Labor Institute Panel Study) data, and analysed the factors of the acquisition of qualifications and the employment and wage effects of the acquisition of qualifications by fixed effects logit model and random effects model. The lower school stratification acquired the more qualifications, and in the case of men the unemployed one acquired the more qualifications. The employment effects of the acquisition of qualifications are significant at first year and second year in women, but the men's of the employment effects of acquisition of qualifications are not significant. The wage effects of the acquisition of qualifications are not significant. The results of the regression suggest that in Korea the signal system of qualifications do not working, and that the qualifications in Korea need to reform.

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