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Item Details
Title: MAXIMUM SIMULATED LIKELIHOOD METHODS AND APPLICATIONS
By: William Greene (Editor), R. Carter Hill (Editor), Carter Hill
Format: Hardback

List price: £104.99
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ISBN 10: 0857241494
ISBN 13: 9780857241498
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Publisher: EMERALD PUBLISHING LIMITED
Pub. date: 3 December, 2010
Series: Advances in Econometrics 26
Pages: 363
Description: This collection of methodological developments and applications of simulation-based methods were presented at a workshop at Louisiana State University in November, 2009. Topics include: extensions of the GHK simulator; maximum-simulated likelihood; composite marginal likelihood; and modelling and forecasting volatility in a bayesian approach.
Synopsis: This volume is a collection of methodological developments and applications of simulation-based methods that were presented at a workshop at Louisiana State University in November, 2009. The first two papers are extensions of the GHK simulator: one reconsiders the computation of the probabilities in a discrete choice model while another example uses an adaptive version of sparse-grids integration (SGI) instead of simulation. Two studies are focused specifically on the methodology: the first compares the performance of the maximum-simulated likelihood (MSL) approach with a proposed composite marginal likelihood (CML) approach in multivariate ordered-response situations, while the second examines methods of testing for the presence of heterogeneity in the heterogeneity model. Further topics examined include: education savings accounts, parent contributions and education attainment; estimating the effect of exchange rate flexibility on financial account openness; estimating a fractional response model with a count endogenous regressor; and modelling and forecasting volatility in a bayesian approach.
Publication: UK
Imprint: Emerald Group Publishing Limited
Returns: Returnable
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