Format:
1 online resource (418 pages)
Edition:
1st ed.
ISBN:
9780521782753
,
9780511151613
Content:
This graduate and practitioner guide to analysing consumer choice behaviour concentrates on stated preference (SP) methods. The authors of this book, first published in 2000, show how these methods can be implemented, from experimental design to econometric modelling, and also combined with revealed preference (RP) data. The book also presents an update of econometric approaches to choice modelling
Note:
Intro -- Contents -- Figures -- Tables -- Acknowledgements -- 1 Choosing as a way of life -- 1.1 Introduction -- 1.2 Decision making and choice behaviour -- 1.3 Conceptual framework -- 1.4 The world of choice is complex: the challenge ahead -- Appendix A1 Choosing a residential telecommunications bundle -- 2 Introduction to stated preference models and methods -- 2.1 Introduction -- 2.2 Preference data come in many forms -- 2.3 Preference data consistent with RUT -- 3 Choosing a choice model -- 3.1 Introduction -- 3.2 Setting out the underlying behavioural decision framework -- 3.3 Random utility maximisation -- 3.4 The basic choice model - a particular model formulation -- 3.5 Statistical estimation procedure -- 3.6 Model outputs -- 3.7 Behavioural outputs of choice models -- 3.8 A simple illustration of the basic model -- 3.9 Linking to the later chapters -- Appendix A3 Maximum likelihood estimation technique -- Appendix B3 Linear probability and generalised least squares models -- 4 Experimental design -- 4.1 Introduction -- 4.2 Factorial designs -- 4.3 Fractional factorial designs -- 4.4 Practical considerations in fractional designs -- 4.5 Design strategies for simple SP experiments -- 5 Design of choice experiments -- 5.1 Introduction -- 5.2 Multiple choice experiments -- 5.3 General design principles for choice experiments -- 5.4 Availability designs for labelled alternatives -- Appendix A5 Some popular choice designs -- 6 Relaxing the IID assumption - introducing variants of the MNL model -- 6.1 Setting the context for behaviourally more plausible models -- 6.2 Deriving the mean and variance of the extreme value type 1 distribution -- 6.3 Introduction to the nested logit model -- 6.4 Empirical illustration -- 6.5 The nested logit model - empirical examples -- 6.6 Tests of overall model performance for nested models
,
13 Cross validity and external validity of SP models -- 13.1 Introduction -- 13.2 A brief review of preference model comparisons -- 13.3 Preference regularities -- 13.4 Procedures for testing preference regularity -- 13.5 Empirical case studies and results -- 13.6 Summary and conclusions -- References -- Index
,
6.7 Conclusions and linkages between the MNL/NL models and more complex models -- Appendix A6 Detailed characterisation of the nested logit model -- Appendix B6 Advanced discrete choice methods -- 7 Complex non-IID multiple choice designs -- 7.1 Introduction -- 7.2 Designs for alternatives with non-constant error variances -- 7.3 Designs for portfolio, bundle or menu choices -- 7.4 Summary -- 8 Combining sources of preference data -- 8.1 Appreciating the opportunity -- 8.2 Characteristics of RP and SP data -- 8.3 The mechanics of data enrichment -- 8.4 Is it always possible to combine preference data sources? -- 8.5 A general preference data generation process -- 8.6 Summary -- 9 Implementing SP choice behaviour projects -- 9.1 Introduction -- 9.2 Components of the choice process -- 9.3 The steps in an SP choice study -- 9.4 Summary -- 10 Marketing case studies -- 10.1 Introduction -- 10.2 Case study 1: preference heterogeneity vs. variance heteroscedasticity -- 10.3 Case study 2: choice set generation analysis -- 10.4 Summary -- 11 Transportation case studies -- 11.1 Introduction -- 11.2 Case study 1: introducing a new alternative: high speed rail and the random effects HEV model in an SPÐRP context -- 11.3 Case study 2: high speed rail and random effects HEV in a switching context -- 11.4 Case study 3: valuation of travel time savings and urban route choice with tolled options in an SP context -- 11.5 Case study 4: establishing a fare elasticity regime for urban passenger transport -- 11.6 Conclusions to chapter -- 12 Environmental valuation case studies -- 12.1 Introduction -- 12.2 Environmental valuation: theory and practice -- 12.3 Case study 1: use values - recreational hunting site choices -- 12.4 Case study 2: passive use values -- 12.5 The passive use value controversy: can SP help? -- 12.6 Conclusions
Additional Edition:
Print version Louviere, Jordan J. Stated Choice Methods Cambridge : Cambridge University Press,c2000 ISBN 9780521782753
Language:
English
Keywords:
Electronic books
URL:
FULL
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