Description: Maximum Simulated Likelihood Methods and ApplicationsAuthor(s): William Greene, R. Carter Hill, Carter Hill, Tom Fomby Format: Hardback Publisher: Emerald Publishing Limited, United Kingdom Imprint: Emerald Group Publishing Limited ISBN-13: 9780857241498, 978-0857241498 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.
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Book Title: Maximum Simulated Likelihood Methods and Applications
Number of Pages: 363 Pages
Publication Name: Maximum Simulated Likelihood Methods and Applications
Language: English
Publisher: Emerald Publishing The Limited
Item Height: 229 mm
Subject: Economics
Publication Year: 2010
Type: Textbook
Item Weight: 658 g
Author: William Greene, R. Carter Hill
Item Width: 152 mm
Series: Advances in Econometrics
Format: Hardcover
