Logo

Discrete Choice Methods with Simulation

Large book cover: Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation
by

Publisher: Cambridge University Press
ISBN/ASIN: 0521766559
ISBN-13: 9780521766555
Number of pages: 400

Description:
Simulation methods have unshackled discrete choice analysis, breaking down the computational barriers to use of plausible, interpretable models. Kenneth Train provides an excellent road map for both econometric specialists and practitioners through this comprehensive, readable treatment that pulls together the research literature and provides many new and useful results.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: The Computation of Economic EquilibriaThe Computation of Economic Equilibria
by - Yale University Press
Contents: Problem of Computing Equilibrium Prices; Determination of an Approximate Fixed Point of Continuous Mapping; Numerical Applications of Brouwer's Theorem; An Extension of the Algorithm; Computation of Equilibria in a General Walrasian Model.
(5356 views)
Book cover: The Elements of Input-Output AnalysisThe Elements of Input-Output Analysis
by - Random House Inc
This volume is designed to give the reader an understanding of how the input-output system works; it is not a guide to the construction of an interindustry transactions table. Most of this book deals with a static, open input-output model.
(5070 views)
Book cover: Computable General Equilibrium Modeling for Regional AnalysisComputable General Equilibrium Modeling for Regional Analysis
by - Regional Research Institute, WVU
CGE framework encompasses both the I-O and SAM frameworks by making demand and supply of commodities and factors dependent on prices. A CGE model simulates the working of a market economy in which prices and quantities adjust to clear all markets.
(3831 views)
Book cover: Spatial EconometricsSpatial Econometrics
by - University of Toledo
This text provides an introduction to spatial econometrics as well as a set of MATLAB functions that implement a host of spatial econometric estimation methods. The intended audience is faculty and students involved in modeling spatial data sets.
(6951 views)