Results 1 to 10 of about 9,370 (261)
Poverty Dynamics in Turkey: A Multinomial Logit Model
The availability of longitudinal data allows researchers to analyse the dynamics of poverty. By using the Turkish Statistical Institute’s (TurkStat) Income and Living Conditions Survey micro dataset, we analyse the households’ long-term monetary poverty ...
Senem Çakmak Şahin +1 more
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Estimating Probability of Banking Crisis using 2nd Generation Early Warning Systems: An Intercountry Study [PDF]
The main purpose of this study is to estimate the probability of banking crisis using the second generation of early warning systems (logit models), for 13 selected high-middle income countries over the period of 1980-2016.
Seyed Saleh Akbar Mousavi +3 more
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Multinomial logit death forecasting model
The multinomial regression logit model is analyzed. The algorithms and software are made for this model in order to get estimation of parameters. Calculations are made using generated population of 1000 cases.
Audronė Jakaitienė
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TÜRKİYE’DE HANEHALKLARININ BALIK TÜKETİM HARCAMALARI: LOGIT VE MULTINOMIAL LOGIT YAKLAŞIMLARI
Çalışmada insan sağlığı üzerinde kanıtlanmış olumlu etkileri olan balık tüketiminin Türkiye hanehalkları için belirleyicileri analiz edilmiştir. Bu amaçla Türkiye İstatistik Kurumu'nun 2018 yılı Hanehalkı Bütçe Araştırması Mikro Veri Setinde yer alan 11 ...
Onur Demirel, Selim Adem Hatırlı
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Optimal model averaging estimator for multinomial logit models
In this paper, we study optimal model averaging estimators of regression coefficients in a multinomial logit model, which is commonly used in many scientific fields.
Rongjie Jiang, Liming Wang, Yang Bai
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Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain
Exploring the influencing factors of intercity travel mode choice can reveal passengers’ travel decision mechanisms and help traffic departments to develop an effective demand management policy.
Xiaowei Li +4 more
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This paper introduces the package gmnl in R for estimation of multinomial logit models with unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) data.
Mauricio Sarrias, Ricardo Daziano
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Estimating the Potential Modal Split of Any Future Mode Using Revealed Preference Data
Mode choice behaviour is often modelled by discrete choice models, in which the utility of each mode is characterized by mode-specific parameters reflecting how strongly the utility of that mode depends on attributes such as travel speed and cost, and a ...
Gijsbert Koen de Clercq +3 more
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Bayesian Inference in the Multinomial Logit Model
The multinomial logit model (MNL) possesses a latent variable representation in terms of random variables following a multivariate logistic distribution.
Sylvia Frühwirth-Schnatter +1 more
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Comparative Study of Logit and Weibit Model in Travel Mode Choice
To quantify travel demand, it is necessary to understand the travelers' mode choice behavior. The Logit model is widely used in travel mode choice because of its closed form.
Dawei Li, Wentong Wu, Yuchen Song
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