Originally published in 1981. Discrete-choice modelling is an area of econometrics where significant advances have been made at the research level. This book presents an overview of these advances, explaining the theory underlying the model, and explores its various applications. It shows how operational choice models can be used, and how they are particularly useful for a better understanding of consumer demand theory. It discusses particular problems connected with the model and its use, and reports on the authors’ own empirical research. This is a comprehensive survey of research developments in discrete choice modelling and its applications.
Preface 1. Introduction 2. Contextual Prerequisites 3. A Basic Discrete Choice Model 4. Choice Set Definition and Decision Structures 5. The Choice Axiom and Independence from Irrelevant Alternatives Property 6. Alternative Model Forms and Statistical Approaches 7. Other Analytical and Empirical Issues 8. Simultaneous Equation Models 9. Applications 10. A Test Case Study. Appendix A: Statistical Tables, B: On the Identification of the Functional Form of the Utility Expression and its Relationship to Discrete Choice Jordan J. Louviere, C: Sampling, Specification and Data Errors in Probabilistic Discrete-Choice Models Joel Horowitz
Reissuing works originally published between 1929 and 1991, this collection of 17 volumes presents a variety of considerations on Econometrics, from introductions to specific research works on particular industries. With some volumes on models for macroeconomics and international economies, this is a widely interesting set of economic texts. Input/Output methods and databases are looked at in some volumes while others look at Bayesian techniques, linear and non-linear models. This set will be of use to those in industry and business studies, geography and sociology as well as politics and economics.