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: Optimal Regulation: The Economic Theory of Natural MonopolyOptimal Regulation: The Economic Theory of Natural Monopoly
by - The MIT Press
Optimal Regulation addresses the central issue of regulatory economics -- how to regulate firms in a way that induces them to produce and price 'optimally'. It synthesis an extensive theoretical literature on what constitutes optimality.
(12250 views)
Book cover: Structural Analysis of Discrete Data with Econometric ApplicationsStructural Analysis of Discrete Data with Econometric Applications
by - The MIT Press
The book provides a methodological foundation for the analysis of economic problems involving discrete data, and charts the current frontiers of this subject. It is also useful for the researchers involved in the structural analysis of discrete data.
(16473 views)
Book cover: Analog Estimation Methods in EconometricsAnalog Estimation Methods in Econometrics
by - Chapman and Hall
This book presents familiar elements of estimation theory from an analog perspective. It discusses recent developments in the theory of analog estimation and presents new results that offer flexibility in empirical research.
(11470 views)
Book cover: EconometricsEconometrics
by - BookBoon
This book covers the most basic concepts in econometrics. Subjects as basic probability and statistics, statistical inference with the simple and multiple regression model, dummy variables and auto correlation are explained.
(18210 views)