2003
DOI: 10.3917/redp.136.0773
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Simulated maximum likelihood estimation of demand systems with corner solutions and panel data application to industrial energy demand

Abstract: Distribution électronique Cairn.info pour Dalloz. © Dalloz. Tous droits réservés pour tous pays.La reproduction ou représentation de cet article, notamment par photocopie, n'est autorisée que dans les limites des conditions générales d'utilisation du site ou, le cas échéant, des conditions générales de la licence souscrite par votre établissement. Toute autre reproduction ou représentation, en tout ou partie, sous quelque forme et de quelque manière que ce soit, est interdite sauf accord préalable et écrit de … Show more

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Cited by 7 publications
(2 citation statements)
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References 23 publications
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“…Our micro-economic crop acreage choice model is an example of ERS multivariate model with multiple regimes. To our knowledge, ERS models for multiple choices have been mostly used for demand systems, either for consumption goods (e.g., Wales and Woodland, 1983;Lee and Pitt, 1986;Kao et al, 2001;Millimet and Tchernis, 2008) or for production factors (e.g., Lee and Pitt, 1987;Arndt, 1999: Chakir andThomas, 2003). Most of these studies rely on the dual modelling framework proposed by Lee and Pitt (1986).…”
Section: Corners Kinks and Jumps In Acreage Choice Modelsmentioning
confidence: 99%
“…Our micro-economic crop acreage choice model is an example of ERS multivariate model with multiple regimes. To our knowledge, ERS models for multiple choices have been mostly used for demand systems, either for consumption goods (e.g., Wales and Woodland, 1983;Lee and Pitt, 1986;Kao et al, 2001;Millimet and Tchernis, 2008) or for production factors (e.g., Lee and Pitt, 1987;Arndt, 1999: Chakir andThomas, 2003). Most of these studies rely on the dual modelling framework proposed by Lee and Pitt (1986).…”
Section: Corners Kinks and Jumps In Acreage Choice Modelsmentioning
confidence: 99%
“…These methods include method of simulated moments, method of simulated maximum likelihood, and method of simulated scores. The simulated ML approach is applied by Kao et al (2001) and Chakir and Thomas (2003). Another way to overcome the computational issue is to use Bayesian methods.…”
Section: Introductionmentioning
confidence: 99%