Maximum Simulated Likelihood Methods and Applications, Hardback Book

Maximum Simulated Likelihood Methods and Applications Hardback

Edited by William Greene, R. Carter Hill

Part of the Advances in Econometrics series

Description

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.

Information

  • Format: Hardback
  • Pages: 363 pages
  • Publisher: Emerald Publishing Limited
  • Publication Date:
  • Category: Econometrics
  • ISBN: 9780857241498

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