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Cambridge University Press Cambridge Discrete Choice Methods with Simulation Book

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Description

Master the next generation of statistical modeling with Discrete Choice Methods with Simulation. Published by Cambridge University Press, this text provides a deep look into how researchers examine the decision-making processes of consumers, households, firms, and other agents through advanced simulation techniques. This book covers essential models including logit, probit, and mixed logit. You will gain a thorough understanding of generalized extreme value (GEV) models, including both nested and cross-nested logits. By focusing on the advances made possible by simulation, this resource helps researchers apply complex specifications to real-world data. Beyond standard modeling, the text explores recent developments in Bayesian procedures. It provides practical insights into using the Metropolis-Hastings algorithm and its variant, Gibbs sampling, to enhance statistical analysis. Whether you are studying game theory or optimization, this book serves as a comprehensive guide to modern discrete choice methodologies.

Key Features

Comprehensive coverage of major models including logit, probit, and mixed logit for advanced statistical research.

Detailed explanations of generalized extreme value (GEV) models, covering both nested and cross-nested logits.

Exploration of recent advances in Bayesian procedures to improve data analysis and modeling accuracy.

Technical guidance on using the Metropolis-Hastings algorithm and Gibbs sampling for complex simulations.

Practical framework for examining the choices made by consumers, households, firms, and other agents.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
17 September 2009
Listed Since
24 February 2009

Barcode

No barcode data available

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