{"product_id":"9780857241498","title":"Maximum Simulated Likelihood Methods and Applications","description":"\u003cp\u003eThis 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\u003c\/p\u003e\u003cp\u003eThe 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 modeling and forecasting volatility in a Bayesian approach.\u003c\/p\u003e","brand":"Emerald Group Publishing Limited","offers":[{"title":"Default Title","offer_id":47031786471664,"sku":"9780857241498","price":163.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9780857241498_p0.jpg?v=1763829436","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9780857241498","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}