The development of multivariate generalized autoregressive conditionally heteroscedastic (MGARCH) models from the original univariate specifications represented a major step forward in the modelling of time series. MGARCH models permit time-varying conditional covariances as well as variances, and t
Mixed logit models: accuracy and software choice
β Scribed by Jae Bong Chang; Jayson L. Lusk
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 75 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0883-7252
- DOI
- 10.1002/jae.1201
No coin nor oath required. For personal study only.
β¦ Synopsis
A couple of papers have compared ML estimates across simulated maximum likelihood and Bayesian estimation methods (e.g. see Huber and Train, 2001). All the software packages we compare in this paper rely on simulated maximum likelihood estimation.
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