Muutke küpsiste eelistusi

Applied Discrete-Choice Modelling [Pehme köide]

(University of Sydney, Australia), (Swinburne University of Technology, Australia)
  • Formaat: Paperback / softback, 480 pages, kõrgus x laius: 216x138 mm, kaal: 900 g
  • Sari: Routledge Library Editions: Econometrics
  • Ilmumisaeg: 25-Jun-2019
  • Kirjastus: Routledge
  • ISBN-10: 0815350473
  • ISBN-13: 9780815350477
Teised raamatud teemal:
Applied Discrete-Choice ModellingSuurem pilt
  • Formaat: Paperback / softback, 480 pages, kõrgus x laius: 216x138 mm, kaal: 900 g
  • Sari: Routledge Library Editions: Econometrics
  • Ilmumisaeg: 25-Jun-2019
  • Kirjastus: Routledge
  • ISBN-10: 0815350473
  • ISBN-13: 9780815350477
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780815350477.html

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
Contents
List of Figures
List of Tables
1 Introduction
1(8)
1.1 The Aims of the Book
1(2)
1.2 Outline and Scope
3(6)
2 Contextual Prerequisites
9(14)
2.1 Emphasis on the Individual
9(2)
2.2 Individual Choice and Individual Demand
11(3)
2.3 Choice and Utility
14(9)
3 A Basic Discrete Choice Model
23(42)
3.1 Introduction
23(1)
3.2 The Theoretical Framework
24(14)
3.3 The Basic Choice Model --- a Particular Model Formulation
38(5)
3.4 Statistical Estimation Procedure
43(5)
3.5 Model Outputs
48(12)
3.6 A Simple Illustration of the Basic Model
60(5)
4 Choice Set Definition and Decision Structures
65(70)
4.1 Introduction
65(2)
4.2 Choice Set Generation
67(10)
4.3 Alternative Decision Structures and Decision Linking
77(17)
4.4 Choice Hierarchy and Model Classification
94(24)
4.5 Specification of the Attributes in the Utility Expression
118(17)
5 The Choice Axiom and Independence from Irrelevant Alternatives Property
135(28)
5.1 Introduction
135(1)
5.2 Existence of the Independence from Irrelevant Alternatives Property - The Antecedents
136(11)
5.3 The Independence from Irrelevant Alternatives Assumption
147(3)
5.4 Procedures to Determine Violations of the IIA Property and Proposals to Remedy Violation
150(5)
5.5 An Empirical Illustration of Procedure B Tests for Violation of the IIA Property
155(8)
6 Alternative Model Forms and Statistical Approaches
163(30)
6.1 Introduction
163(1)
6.2 Linear Probability Model and Least Squares Regression
163(7)
6.3 Linear Logit Model and Weighted/Generalised Least Squares Regression
170(8)
6.4 A Modified Logit (or Dogit) Model and Maximum-Likelihood Estimation
178(4)
6.5 Multinomial Covariance Probit and Numerical Approximation Techniques
182(4)
6.6 Functional Form - The Box-Cox and Box-Tukey Transformations
186(7)
7 Other Analytical and Empirical Issues
193(68)
7.1 Introduction
193(1)
7.2 Aggregation
193(20)
7.3 Transferability of Model Parameters
213(9)
7.4 Sample Design and Data Collection
222(21)
7.5 Valuation of Attributes
243(2)
7.6 The Influence of Discontinuities or Thresholds in Individual Behaviour
245(16)
8 Simultaneous Equation Models
261(22)
8.1 Introduction
261(1)
8.2 Endogenous Attributes
262(5)
8.3 Incomplete Information, Sample Separation and Sample Selectivity Bias
267(7)
8.4 A Case Study
274(9)
9 Applications
283(44)
9.1 Introduction
283(1)
9.2 A Case Study in Transport
284(6)
9.3 A Case Study in Regulation and Communications
290(9)
9.4 A Case Study in Employment
299(12)
9.5 A Case Study in Recreation and Travel
311(5)
9.6 A Case Study in Education
316(5)
9.7 A Case Study in Child Care
321(6)
10 A Test Case Study
327(52)
10.1 Introduction
327(1)
10.2 The Data
328(1)
10.3 Using the Program
328(42)
10.4 The Illustrative Input and Output
370(9)
Appendix A Statistical Tables 379(6)
Appendix B On The Identification Of The Functional Form Of The Utility Expression And Its Relationship To Discrete Choice -- (Jordan J. Louviere) 385(32)
Appendix C Sampling, Specification And Data Errors In Probabilistic Discrete-Choice Models -- (Joel Horowitz) 417(20)
References 437(25)
Index 462
Hensher, David A.; Johnson, Lester W.