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Identification and decompositions in probit and logit models
Choe, Chung; Jung, Seeun; Oaxaca, Ronald L. - In: Empirical economics : a journal of the Institute for … 59 (2020) 3, pp. 1479-1492
Persistent link: https://www.econbiz.de/10012286517
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Generalised linear mixed logit and probit models applied to US Army and Navy data
Kim, Jong-Min; Li, Chuwen; Ha, Il Do - In: International journal of productivity and quality … 30 (2020) 1, pp. 126-142
Persistent link: https://www.econbiz.de/10012254770
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Identification and decompositions in probit and logit models
Choe, Chung; Jung, Seeun; Oaxaca, Ronald L. - 2017
Probit and logit models typically require a normalization on the error variance for model identification. This paper …
Persistent link: https://www.econbiz.de/10011607610
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Random effects probit and logit : understanding predictions and marginal effects
Bland, James R.; Cook, Amanda C. - In: Applied economics letters 26 (2019) 2, pp. 116-123
Persistent link: https://www.econbiz.de/10012204145
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A comparison of multilevel ordinal regression models in the analysis of police force ratings
Andabati, Douglas Candia; Weke, Patrick Guge Oloo; … - In: Croatian review of economic, business and social … 10 (2024) 1, pp. 1-12
Persistent link: https://www.econbiz.de/10015047729
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Accelerated MM algorithms for inference of ranking scores from comparison data
Vojnović, Milan; Yun, Se-Young; Zhou, Kaifang - In: Operations research 71 (2023) 4, pp. 1318-1342
Persistent link: https://www.econbiz.de/10014338197
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Pseudo conditional maximum likelihood estimation of the dynamic logit model for binary panel data
Bartolucci, Francesco; Nigro, Valentina - In: Journal of econometrics 170 (2012) 1, pp. 102-116
Persistent link: https://www.econbiz.de/10009673133
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Estimation of discrete choice models with minimal variation of alternative-specific variables
Ronning, Gerd - In: Econometric reviews 21 (2002) 1, pp. 135-146
Persistent link: https://www.econbiz.de/10001660024
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A model of bankruptcy prediction
Bernhardsen, Eivind - 2001
Persistent link: https://www.econbiz.de/10001636158
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Estimating the Mixed Logit Model by Maximum Simulated Likelihood and Hierarchical Bayes
Akinc, Deniz - 2017
In this study, we compare the parameter estimates of the mixed logit model obtained with maximum likelihood and with …
Persistent link: https://www.econbiz.de/10012945710