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Condition: New. 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. Editor(s): Greene, William; Hill, R. Carter. Series Editor(s): Hill, Carter; Fomby, Tom. Series: Advances in Econometrics. Num Pages: 363 pages, Illustrations. BIC Classification: KCH. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 162 x 308 x 26. Weight in Grams: 660. . 2010. Hardcover. . . . .
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Condition: New. 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. Editor(s): Greene, William; Hill, R. Carter. Series Editor(s): Hill, Carter; Fomby, Tom. Series: Advances in Econometrics. Num Pages: 363 pages, Illustrations. BIC Classification: KCH. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 162 x 308 x 26. Weight in Grams: 660. . 2010. Hardcover. . . . . Books ship from the US and Ireland.
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Hardback. Condition: New. 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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Hardback. Condition: New. 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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Buch. Condition: Neu. Maximum Simulated Likelihood Methods and Applications | William Greene (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2010 | Emerald Group Publishing Limited | EAN 9780857241498 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.