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  • Search: subject:"Maximum Simulated Likelihood Estimation"
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Year of publication
Subject
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Discrete Labor Supply 1 Estimation theory 1 Maximum Simulated Likelihood Estimation 1 Maximum likelihood estimation 1 Maximum simulated likelihood estimation 1 Maximum-Likelihood-Schätzung 1 Mixed logit models 1 Monte Carlo samplings 1 Production function 1 Produktionsfunktion 1 Repeated Multinomial Choice 1 Schätztheorie 1 Stochastic frontier 1 Stochastic process 1 Stochastischer Prozess 1 Technical efficiency 1 Technische Effizienz 1 Trust-region algorithms 1 characteristic function 1 indirectinference 1 maximum likelihood estimation 1 maximum simulated likelihood estimation 1 ordinary leastsquares 1
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Online availability
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Undetermined 2 Free 1
Type of publication
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Aufsatz im Buch 1 Book section 1
Language
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Undetermined 2 English 1
Author
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Bastin, Fabian 1 Cirillo, Cinzia 1 Lai, Hung-pin 1 Prowse, Victoria 1 Toint, Philippe 1
Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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Computational Management Science 1 Essays in honor of Subal Kumbhakar 1 MPRA Paper 1
Source
All
RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Indirect inference of stochastic frontier models
Lai, Hung-pin - In: Essays in honor of Subal Kumbhakar, (pp. 414-438). 2024
Persistent link: https://www.econbiz.de/10014560622
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Modeling employment dynamics with state dependence and unobserved heterogeneity
Prowse, Victoria - Volkswirtschaftliche Fakultät, … - 2012
We extend existing work on the dynamics of labor force participation by distinguishing between full-time and part-time employment and by allowing unobserved heterogeneity in the effects of previous employment outcomes, children and education on labor supply behavior. In addition, unobserved...
Persistent link: https://www.econbiz.de/10011113074
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An adaptive Monte Carlo algorithm for computing mixed logit estimators
Bastin, Fabian; Cirillo, Cinzia; Toint, Philippe - In: Computational Management Science 3 (2006) 1, pp. 55-79
Researchers and analysts are increasingly using mixed logit models for estimating responses to forecast demand and to determine the factors that affect individual choices. However the numerical cost associated to their evaluation can be prohibitive, the inherent probability choices being...
Persistent link: https://www.econbiz.de/10005370533
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