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Maximum Simulated Likelihood Methods and Applications

Maximum Simulated Likelihood Methods and Applications

by R. Carter Hill and William Greene
Hardback
Publication Date: 03/12/2010

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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.
ISBN:
9780857241498
9780857241498
Category:
Econometrics
Format:
Hardback
Publication Date:
03-12-2010
Publisher:
Emerald Publishing Limited
Country of origin:
United Kingdom
Pages:
363
Dimensions (mm):
229x152x33mm
Weight:
0.66kg

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