• 제목/요약/키워드: Hierarchical Logit Model

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주제공원 이용자들의 선택행동 추정에 관한 연구 -Nested Logit Model의 적용 (A Study on Choice Behavior of Theme Park Visitors - Application of Nested Logit Model -)

  • 홍성권
    • 한국조경학회지
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    • 제24권4호
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    • pp.96-111
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    • 1997
  • This study was carried out to identify users' choice behavior of theme parks. overland. Lotte World, Seoul Land, Dreamland and Children's Grand Park were selected as study areas. Both multinomial logic model(MNL), nested logic model(NMNL) and joint logit model wet$.$e test using a choice-based sample collected on study areas. Hausman-McFadden test showed that the MNL is not appropriate because the IIA assumption is violated. To avoid the problematic IIA assumption, the NMNL was tested. It splits similar alternatives into groups and nests separate decisions into hierarchical order to avoid the IIA assumption. Cluster analysis and discriminant analysis were conducted to find applicable nest structures. The inclusive value coefficient was 0.7788. It meant that sufficient condition of this model is met and users' choice behavior can be better understood by NMNL than MNL. The $\rho$2 value and accuracy of prediction of this model were 0.402 and 46.33% , respectively. Several comments were suggested to make the NMNL to be more reliable for future research on users' choice behavior of theme park.

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위계로짓모형을 활용한 비수도권 청년층의 이주유형별 결정요인 비교분석 (A Study on the Determinants of Migration Types of the Youth in Non-metropolitan Areas by using a Hierarchical Logit Model)

  • 우한성
    • 한국경제지리학회지
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    • 제26권4호
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    • pp.421-442
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    • 2023
  • 본 연구는 비수도권 청년층의 이주유형 특성이 지역별로 상이하게 나타난다는 점에 주목하여 이주유형별 결정요인의 차이를 비교 분석하는 데 주요 목적을 두었다. 먼저 비수도권 청년층의 이주 실태 및 특성을 탐색적으로 분석한 후 위계로짓모형을 활용하여 이주유형별 결정요인을 각각 추정하였다. 분석 결과 이주유형별 특성이 지역별로 상이하게 관찰되었고, 각각의 이주유형별 결정요인 또한 서로 다른 변수(개인 및 지역수준)들의 묶음(bundle)으로 구성되어 있음을 확인할 수 있었다. 향후 비수도권의 청년인력 확보 정책은 다양한 이주선택의 결정요인을 충분히 고려하고 지역적 맥락이 반영될 때 정책의 효과를 배가시킬 수 있을 것이다.

HGLM을 적용한 병원 도산 예측방법의 개발 (Development of the Prediction Method for Hospital Bankruptcy using a Hierarchical Generalized Linear Model(HGIM))

  • 노맹석;장혜정;이명조
    • 한국병원경영학회지
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    • 제6권2호
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    • pp.22-36
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    • 2001
  • The hospital bankruptcy rate is increasing, therefore it is very important to predict the bankruptcy using the existing hospital management information. The hospital bankruptcy is often measured in year intervals, called grouped duration data, not by the continuous time elapsed to the bankruptcy. This study introduces a hierarchical generalized linear model(HGLM) for analysis of hospital bankruptcy data. The hazard function for each hospital may be influenced by unobservable latent variables, and these unknown variables are usually termed as random effects or frailties which explain correlations among repeated measures of the same hospital and describe individual heterogeneities of hospitals. Practically, the data of twenty bankrupt and sixty profitable hospitals were collected for five years, and were fitted to HGLM. The results were compared with those of the logit model. While the logit model resulted only in the effects of explanatory variables on the bankruptcy status at specific period, the HGLM showed variables with significant effects over all observed years. It is concluded that the HGLM with a fixed ratio and a period of total asset turnrounds was justified, and could find significant within and between hospital variations.

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Bayesian Analysis of Binary Non-homogeneous Markov Chain with Two Different Time Dependent Structures

  • Sung, Min-Je
    • Management Science and Financial Engineering
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    • 제12권2호
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    • pp.19-35
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    • 2006
  • We use the hierarchical Bayesian approach to describe the transition probabilities of a binary nonhomogeneous Markov chain. The Markov chain is used for describing the transition behavior of emotionally disturbed children in a treatment program. The effects of covariates on transition probabilities are assessed using a logit link function. To describe the time evolution of transition probabilities, we consider two modeling strategies. The first strategy is based on the concept of exchangeabiligy, whereas the second one is based on a first order Markov property. The deviance information criterion (DIC) measure is used to compare models with two different time dependent structures. The inferences are made using the Markov chain Monte Carlo technique. The developed methodology is applied to some real data.

주제공원 이용자들의 선택행동 연구 -Constraints-Induced Conjoint Choice Model의 적용- (A Study on the Theme Park Users' Choice behavior -Application of Constraints-Induced Conjoint Choice Model-)

  • 홍성권;이용훈
    • 한국조경학회지
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    • 제28권2호
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    • pp.18-27
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    • 2000
  • The importance of constraints has been one of major issues in recreation for prediction of choice behavior; however, traditional conjoint choice model did not consider the effects of these variables or fail to integrate them into choice model adequately. The purposes of this research are (a) to estimate the effects of constraints in theme park choice behavior by the constraints-induced conjoint choice model, and (b) to test additional explanatory power of the additional constraints in this suggested model against the more parsimonious traditional model. A leading polling agency was employed to select respondents. Both alternative generating and choice set generating fractional factorial design were conducted to meet the necessary and sufficient conditions for calibration of the constraints-induced conjoint choice model. Th alternative-specific model was calibrated. The log-likelihood ratio test revealed that suggested model was accepted in the favor of the traditional model, and the goodness-of-fit($\rho$$^2$) of suggested and traditional model was 0.48427 and 0.47950, respectively. There was no difference between traditional and suggested model in estimates of attribute levels of car and shuttle bus because alternatives were created to estimate the effects of constraints independently from mode related variables. Most parameters values of constraints had the expected sign and magnitude: the results reflected the characteristics of the theme parks, such as abundance of natural attractions and poor accessibility in Everland, location of major fun rides indoor in Lotte World, city park like characteristics of Dream Land, and traffic jams in Seoul. Instead of the multinomial logit model, the nested logit model is recommended for future researches because this model more reasonably reflects the real decision-making process in park choice. Development of new methodology too integrate this hierarchical decision-making into choice model is anticipated.

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도로기하구조가 기상상태에 따라 고속도로 교통사고 심각도에 미치는 영향 분석 (The Effects of Road Geometry on the Injury Severity of Expressway Traffic Accident Depending on Weather Conditions)

  • 박수진;고승영;박호철
    • 한국ITS학회 논문지
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    • 제18권2호
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    • pp.12-28
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    • 2019
  • 도로기하구조는 교통사고를 발생시키는 다양한 요인 중 하나이지만, 동일한 도로기하구조 조건하에서도 기상상태에 따라 교통사고에 미치는 영향이 다르게 나타난다. 본 연구에서는 2001년부터 2014년까지 14년간 전국 고속도로 사고자료와 기상자료를 매칭하여 교통사고 심각도에 영향을 미치는 변수들을 분석하였다. 도로기하구조와 기상상태의 상호작용이 사고심각도에 미치는 영향뿐만 아니라, 개별사고 심각도 간의 지역별 상관성을 반영하기 위해 위계적 순서형 모형을 사용하였다. 위계적 모형 중에서도 도로기하구조와 기상상태의 상호작용 변수를 포함한 임의절편모형과 기상상태의 지역별 특성을 상위변수로 포함하는 임의계수모형을 모두 활용하였다. 분석결과 톨게이트 및 램프구간, 내리막 경사 3%이상, 콘크리트 방호벽 등이 기상상태에 따라 사고 심각도에 미치는 영향이 달라지는 것을 확인하였다. 또한 도로기하구조와 기상상태의 복합적인 영향은 강우량 또는 강설량에 선형적이지 않을 수 있음을 보여주었다. 끝으로 본 연구의 분석결과를 기반으로 안전개선 대책을 제시하였으며, 이를 토대로 향후 교통사고 심각도 감소가 가능할 것으로 기대된다.

구직자의 취업스펙이 실제취업에 미치는 영향에 대한 탐색적 연구: 선별이론 및 이중노동시장이론을 중심으로 (The Differentiating Effects of Job Seekers' Spec on Actual Employment: Focusing on Screening Hypothesis and Dual Labor Market Theory)

  • 박지성;옥지호
    • 아태비즈니스연구
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    • 제13권4호
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    • pp.11-24
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    • 2022
  • Purpose - The purpose of this study was to examine how job seekers' spec influence their actual employment especially focusing on the differentiating effects of applicants' specs depending on whether general or decent job employment. Design/methodology/approach - This study conducted analyses on 54,443 samples that incorporated data from the Graduates Occupational Mobility Survey for three years (2017-2019) collected by the Korea Employment Information Service. The linear probability model and logit model were used to examine the research questions. Findings - The results analyzed with the hierarchical regression model showed that most job seekers' specs were statistically significant in predicting employment status. Interestingly, there is a difference between the factors predicting employment for a general job and a decent job. This study suggests academic and practical implications for future research in the selection/ recruitment field by clarifying the critical factors to influence applicants' employment. Research implications or Originality The results of this study follow the screening hypothesis which explains that the applicants' specs have significant impacts on actual employment. Also, the dual labor market theory, which explains that applicants' specs differently affect actual employment between general and decent jobs, was reaffirmed.

고용유지율 결정요인 분석 (Analysis of Determinants of Employment Retention Rate)

  • 이시균
    • 산업노동연구
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    • 제23권2호
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    • pp.169-193
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    • 2017
  • 본 연구는 우리나라에서 동학적 고용안정성을 진단하기 위해서 고용유지율에 영향을 미치는 결정요인을 분석하였다. 고용유지 결정요인 분석을 위해서 사업체 패널자료와 고용보험 이력자료를 연계하고, 다층적 위계적 자료 분석에 적절한 다층 분석모형을 활용하여 결정요인을 분석하였다. 분석결과, 우리나라에서 고용안정성이 매우 낮은 것은 임금수준이 낮고 비정규직 활용수준이 높은 주변부 부문이 광범위하게 존재하기 때문으로 추정된다. 또한 우리나라의 고용구조는 고용과 실업이 반복되는 단기간 고용이 상당한 영역을 차지하면서 전반적으로 고용안정성이 약한 것으로 평가된다. 이러한 사실은 기업이나 개인적 차원에서 숙련향상 및 숙련형성기회가 제한되면서 지속적인 성장 제약요인으로 작용할 가능성이 높으며, 이에 대한 적극적 대응책으로 고용구조의 질적 개선노력이 요구된다.