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Maximum Simulated Likelihood Methods and Applications. 最大シミュレーション尤度の方法と応用
・ISBN 978-0-85724-149-8 hard US$ 191.99
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| 著者・編者 | Greene, William / Hill, R. C. (eds.), |
|---|---|
| シリーズ | Advances in Econometrics |
| 出版社 | (Emerald, UK) |
| 出版年月 | 2010 |
| ページ数 | 356 pp. |
| 言語 | ENG |
| ニュース番号 | <579-200> |
解説
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.