• Title/Summary/Keyword: Marginal Logit

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A marginal logit mixed-effects model for repeated binary response data

  • Choi, Jae-Sung
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.2
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    • pp.413-420
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    • 2008
  • This paper suggests a marginal logit mixed-effects for analyzing repeated binary response data. Since binary repeated measures are obtained over time from each subject, observations will have a certain covariance structure among them. As a plausible covariance structure, 1st order auto-regressive correlation structure is assumed for analyzing data. Generalized estimating equations(GEE) method is used for estimating fixed effects in the model.

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Laplace-Metropolis Algorithm for Variable Selection in Multinomial Logit Model (Laplace-Metropolis알고리즘에 의한 다항로짓모형의 변수선택에 관한 연구)

  • 김혜중;이애경
    • Journal of Korean Society for Quality Management
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    • v.29 no.1
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    • pp.11-23
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    • 2001
  • This paper is concerned with suggesting a Bayesian method for variable selection in multinomial logit model. It is based upon an optimal rule suggested by use of Bayes rule which minimizes a risk induced by selecting the multinomial logit model. The rule is to find a subset of variables that maximizes the marginal likelihood of the model. We also propose a Laplace-Metropolis algorithm intended to suggest a simple method forestimating the marginal likelihood of the model. Based upon two examples, artificial data and empirical data examples, the Bayesian method is illustrated and its efficiency is examined.

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Valuation and Preference of Urban Agriculture Park using Choice Experiment (도시농업공원 조성에 대한 선호와 가치평가)

  • Heo, Joo-Nyung;Kim, Tae-Gon
    • Korean Journal of Organic Agriculture
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    • v.21 no.2
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    • pp.125-137
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    • 2013
  • The Purpose of this paper is to estimates consumers' willingness to pay for Urban Agriculture Park attributes. we analysis the marginal WTP by choice experiment method. Choice experiment (CE) is designed to elicit the marginal WTP differences among urban agriculture park attributes (garden scales, learning and experience area, leisure and relaxation area and fund). The results of multinomial logit model are meaningful, the total marginal WTP on the urban agriculture park attributes is 18,852 won. gardens scales is 2,949 won, learning and experience area is 11,284 won, leisure and relaxation area is 4,619 won. In the current laws, the facilities related to urban agriculture park is not. Taking advantage of the new urban agriculture park, Amendments of the law is required.

On an Optimal Bayesian Variable Selection Method for Generalized Logit Model

  • Kim, Hea-Jung;Lee, Ae Kuoung
    • Communications for Statistical Applications and Methods
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    • v.7 no.2
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    • pp.617-631
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    • 2000
  • This paper is concerned with suggesting a Bayesian method for variable selection in generalized logit model. It is based on Laplace-Metropolis algorithm intended to propose a simple method for estimating the marginal likelihood of the model. The algorithm then leads to a criterion for the selection of variables. The criterion is to find a subset of variables that maximizes the marginal likelihood of the model and it is seen to be a Bayes rule in a sense that it minimizes the risk of the variable selection under 0-1 loss function. Based upon two examples, the suggested method is illustrated and compared with existing frequentist methods.

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On a Bayes Criterion for the Goodness-of-Link Test for Binary Response Regression Models : Probit Link versus Logit Link

  • Kim, Hea-Jung
    • Journal of the Korean Statistical Society
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    • v.26 no.2
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    • pp.261-276
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    • 1997
  • In the context of binary response regression, the problem of constructing Bayesian goodness-of-link test for testing logit link versus probit link is considered. Based upon the well known facts that cdf of logistic variate .approx. cdf of $t_{8}$/.634 and, as .nu. .to. .infty., cdf of $t_{\nu}$ approximates to that of N(0,1), Bayes factor is derived as a test criterion. A synthesis of the Gibbs sampling and a marginal likelihood estimation scheme is also proposed to compute the Bayes factor. Performance of the test is investigated via Monte Carlo study. The new test is also illustrated with an empirical data example.e.

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Using Choice Experiments Methods to Estimate Consumer Preference of Rice (실험선택분석을 이용한 쌀의 소비자 선호 분석)

  • Yoo, Jin-Chae;Jeong, Yun-Hee;Kong, Ki-Seo
    • Korean Journal of Organic Agriculture
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    • v.17 no.2
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    • pp.135-150
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    • 2009
  • This paper was to use choice experiments in the analysis of consumer choice behavior and preferences for five different attributes(the origin of rice, a quality certificate, a quality control, a traceability system, the price of rice) in Cheongju City. Completed surveys yielded 712 responses which were analyzed using the conditional logit model to analyze the marginal willingness to pay of the four attributes(the origin of rice, a quality certificate, a quality control and a traceability system) per household and estimated the marginal willingness to pay of the set of feasible options. The result of this study can be used as a guide for the rice industry in the design of possible labeling schemes.

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A Generalized Marginal Logit Model for Repeated Polytomous Response Data (반복측정의 다가 반응자료에 대한 일반화된 주변 로짓모형)

  • Choi, Jae-Sung
    • The Korean Journal of Applied Statistics
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    • v.21 no.4
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    • pp.621-630
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    • 2008
  • This paper discusses how to construct a generalized marginal logit model for analyzing repeated polytomous response data when some factors are applied to larger experimental units as treatments and time to a smaller experimental unit as a repeated measures factor. So, two different experimental sizes are considered. Weighted least squares(WLS) methods are used for estimating fixed effects in the suggested model.

Development of the Marginal Scale of Rural Over-Depopulated Village by Analysing the Rural Residential Conditions (농촌마을 정주환경분석을 통한 과소마을 임계규모 결정지표 개발)

  • Bae, Yeon Joung;Lee, Ji Min;Suh, Kyo;Lee, Jeong Jae
    • Journal of Korean Society of Rural Planning
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    • v.19 no.1
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    • pp.109-122
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    • 2013
  • The rapid rural urban migration and aging has generated an over-depopulation problems in rural areas since the 1980s. The purpose of this study constructs the marginal size of rural over-depopulated village through the analysis of the residential disparities such as farmer's ratio, basic life service accessibility, and levels of social and economic factors for each village community. This marginal scale could support evaluating diverse rural policies, which have been planned to apply to the rural development programs at the village level. The major challenges for over-depopulated villages are the lack of basic facilities, production infrastructures and inactive communities in the village. Therefore, the quantitative analysis of rural residential disparities according to rural village scale can provide the criteria for rural over-depopulated villages. We utilized Korea Agricultural Survey Data(2010) including specific residential condition of village level. The present study adopt multinomial-logit model for quantitative analysis of different village scales and decomposition techniques to separate the direct effect by the village scale factor from the endowment effects by regional or area characteristics, and residual effect by unknown factors. The present study found that the minimum scale of a rural over-depopulated village was 40 and 60 houses for the respective conditions of farmer's ratios less than 50% and greater than 75%. It was concluded based on the study findings that threshold scale could support evaluating the diverse rural policies, which have been planned to apply to the rural development programs at the village level.

An Empirical Study on the Analysis Model for Self Powered University Selection using University Information DB (대학 정보공시 데이터베이스(DB)를 활용한 자율개선대학선정 예측에 관한 실증연구)

  • Chae, Dong Woo;Jeon, Byung Hoon;Jung, Kun Oh
    • Journal of Information Technology Applications and Management
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    • v.28 no.6
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    • pp.97-116
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    • 2021
  • Due to the decrease in the school-age population and government regulations, universities have made great efforts to secure their own competitiveness. In particular, the selection of universities with financial support based on the recent evaluation of the Ministry of Education has become a major concern enough to affect the existence of the university itself. This paper extracts three-year data from 124 major private universities nationwide, and quantitatively analyzes the variables of major universities selected as self-improvement universities, competency reinforcement universities, and universities with limited financial support. As a result of estimating the selection of self-powered universities using the ordered logit model by hierarchically inputting 12 variables, student competitiveness in the metropolitan area (1.318**), Educational Restitution Rate (4.078***), University operation expenditure index rate (1.088***) values were found. Significant positive coefficient values were found in the admission enrollment rate (45.98***) and the enrollment rate (13.25***). As a result of analyzing the marginal effects, the increase in the rate of reduction of education costs has always been positive in the selection of self-powered universities, but it was observed that the rate of increase decreases in areas of increase of 150% or more. On the contrary, the probability of becoming a Em-powered university was negative in all sectors, but on the contrary, it was analyzed that marginal effects increased at the same time point. On the other hand, the employment rate of graduates was not able to find direct significance with the result of the selection of Self powered universities. Through this paper, it is expected that each university will analyze the possibility and shortcomings of the selection of Self powered universities in policy making, and in particular, the risk of dropout of selection for the vulnerable field can be predicted using marginal effects. It can be used as major research data for both university evaluators, university officials and students.

A Study on Users' Travel Behavior Analysis of Transit Transfer (대중교통 이용자의 환승교통수단선택 행태분석에 관한 연구)

  • Lee, Sang Hyuk;Kim, Jae Seok;Kim, Min Seok;Woo, Yong Han
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.1
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    • pp.147-157
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    • 2013
  • This study developed the transit transfer mode choice model aimed Daegu transit users using multinomial logit model. Dependent variables of estimating multinomial logit model were transit transfer modes such as bus to bus, bus to subway, subway to subway, bus to others, and subway to others, and explanatory variables which affect transit transfer mode choice were sex, age, occupation, handicap, transfer area, purpose of travel and travel time. Also probability regarding explanatory variables was estimated using multinomial logit model and limit marginal analysis was carried out according to explanatory variables(cost, time). In the results, indicating goodness of fit is very reasonable as ${\rho}^2$=0.354. According to the result of marginal analysis for the selection of probability, when travel time is increased, users of bus to bus and bus to subway prefer to use subway to subway. Furthermore users of bus to bus and bus to subway prefer to use bus to others and subway to others when travel cost is increased in the result of marginal analysis for the selection of probability.