Cover image for Applied choice analysis : a primer
Title:
Applied choice analysis : a primer
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Publication Information:
Cambridge, UK : Cambridge Univ., 2005
ISBN:
9780521844260

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30000010141868 QA279.4 H46 2005 Open Access Book Book
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Summary

Summary

Almost without exception, everything human beings undertake involves a choice. In recent years there has been a growing interest in the development and application of quantitative statistical methods to study choices made by individuals with the purpose of gaining a better understanding both of how choices are made and of forecasting future choice responses. In this primer the authors provide an unintimidating introduction to the main techniques of choice analysis and include detail on themes such as data collection and preparation, model estimation and interpretation and the design of choice experiments. A companion website to the book provides practice data sets and software to estimate the main discrete choice models such as multinomial logit, nested logit and mixed logit. This primer will be an invaluable resource to students as well as of immense value to consultants and professionals, researchers and anyone else interested in choice analysis and modelling.


Table of Contents

Preface
1 In the beginning
2 Basic notations of statistics
3 Choosing
4 Paradigms of choice data
5 Processes in setting up stated choice experiments
6 Choices in data collection
7 Nlogit for applied choice analysis: a primer
8 Handling choice data
9 Case study: model choice data
10 Getting started modelling: the workhorse - MNL
11 Getting more from your model
12 Practical issues in the application of choice models
13 Allowing for similarity of alternatives
14 Nested logit estimation
15 The mixed logit model
16 Mixed logit estimation
Nlogit terms and commands
References
Index