Modeling Ordered Choices - A Primer

Informationen zum Autor William H. Greene is Professor of Economics and Toyota Motor Corp. Professor at the Stern School of Business, New York University. David A. Hensher is Professor of Management and Director of the Institute of Transport and Logistics at the University of Sydney. Klappentext A synthesis of developments in ordered choice modeling over the past fifty years.Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. This book brings together contributions in ordered choice modeling from a number of disciplines and synthesizes developments over the last fifty years. Inhaltsverzeichnis List of tables; List of figures; Preface; 1. Introduction: random utility and ordered choice models; 2. Modeling binary choices; 3. A model for ordered choices; 4. Antecedents and contemporary counterparts; 5. Estimation, inference and analysis using the ordered choice model; 6. Specification issues in ordered choice models; 7. Accommodating individual heterogeneity; 8. Parameter variation and a generalized ordered choice model; 9. Ordered choice modeling with panel and time series data; 10. Bivariate and multivariate ordered choice models; 11. Two part and sample selection models; 12. Semiparametric and nonparametric estimators and analyses; References; Index.

Product details

• Authors: William H Greene, William H. Greene, William H. (New York University) Hensher Greene, William H. Hensher Greene, Greene William H., David A Hensher, David A. Hensher
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Paperback / Softback
• Released: 08.04.2010
• EAN: 9780521142373
• ISBN: 978-0-521-14237-3
• No. of pages: 382
• Subjects: Non-fiction book > Politics, society, business > Biographies, autobiographies; Social sciences, law, business > Business > Economics; Wirtschaftsgeschichte, Auftragsbearbeitung, Economics, finance, business & management, BUSINESS & ECONOMICS / Econometrics, Probability & statistics, Econometrics and economic statistics