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OverviewFull Product DetailsAuthor: Peter Moffatt (School of Economics, Norwich)Publisher: Bloomsbury Publishing PLC Imprint: Red Globe Press Edition: 1st ed. 2015 Dimensions: Width: 15.50cm , Height: 2.60cm , Length: 23.50cm Weight: 0.689kg ISBN: 9780230250239ISBN 10: 0230250238 Pages: 496 Publication Date: 04 December 2015 Audience: College/higher education , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of Contents1. Introduction and Overview 2. Statistical Aspects of Experimental Design in Experimental Econometrics 3. Treatment Testing 4. Theory Testing, Regression and Dependence 5. Modelling of Decision Times using Regression Analysis 6. Dealing with Discreteness in Experimental Data 7. Ordinal Data in Experimetrics 8. Dealing with Heterogeneity: Finite Mixture Models 9. Simulating Experimental Data, and the Monte-Carlo Method 10. Introduction to the Method of Maximum Simulated Likelihood 11. Dealing with Zeros: Hurdle Models 12. Choice under Risk: Theoretical Issues 13. Choice under Risk: Econometric Modelling 14. Optimal Design in Binary Choice Experiments 15. Social Preference Models 16. Repeated Games and Quantal Response Models 17. Depth of Reasoning Models 18. Learning Models 19. Summary and Conclusion Appendix A: List of Data Files and Other Files Appendix B: List of STATA Commands Appendix C: Choice Problems used in Chapters 5 and 13 References.Reviews'This is an invaluable text produced by an expert in the field. It provides guidance and reference for the increasingly large number of experimental economists who want to do some serious econometric analysis of their experimental data. It is breath-taking in its coverage and its precision, yet at the same time it is eminently readable. One can only admire the author for the clarity of the exposition of material which is inherently complicated. Not only does it explain the concepts cleanly and precisely, it also provides numerous examples of applications. It will become compulsory reading for all experimental economists.' John Hey, University of York, UK 'Every experimentalist should read this book, to understand when she generates challenging data, and to find out how to parry the challenge if it cannot be preempted by design.' Christoph Engel, Max Planck Institute, Germany A too long-awaited, systematic treatise of the econometric modelling of experimental data brilliantly accomplished. A work of art! Anna Conte, University of Westminster, UK 'Rarely do we find a book on econometrics as absorbingly readable as this one. Each chapter begins with a clear explanation of the relevant economic model, introduces data from illustrative experiments from the literature, then walks the reader through the choice of econometric techniques best suited to analysing the data. He begins with the simplest methods, raising the sophistication as more and more features of the dataset are taken into consideration. Crucially, he includes annotated printouts of his many STATA programs so the reader may modify them for their own experiments. In short, I believe Experimetrics should become an indispensable part of every experimentalist's toolkit.' David Butler, Murdoch University, Australia 'Experimetrics is a very well-written book, providing an outstanding in-depth analysis of the econometric methodology into economics experiments. It is structured in a balanced way covering the most topical issues in the experimental literature. Superb writing style and coverage!' Michalis Drouvelis, University of Birmingham, UK 'This is an invaluable text produced by an expert in the field. It provides guidance and reference for the increasingly large number of experimental economists who want to do some serious econometric analysis of their experimental data. It is breath-taking in its coverage and its precision, yet at the same time it is eminently readable. One can only admire the author for the clarity of the exposition of material which is inherently complicated. Not only does it explain the concepts cleanly and precisely, it also provides numerous examples of applications. It will become compulsory reading for all experimental economists.' John Hey, University of York, UK 'Every experimentalist should read this book, to understand when she generates challenging data, and to find out how to parry the challenge if it cannot be preempted by design.' Christoph Engel, Max Planck Institute, Germany A too long-awaited, systematic treatise of the econometric modelling of experimental data brilliantly accomplished. A work of art! Anna Conte, University of Westminster, UK 'Rarely do we find a book on econometrics as absorbingly readable as this one. Each chapter begins with a clear explanation of the relevant economic model, introduces data from illustrative experiments from the literature, then walks the reader through the choice of econometric techniques best suited to analysing the data. He begins with the simplest methods, raising the sophistication as more and more features of the dataset are taken into consideration. Crucially, he includes annotated printouts of his many STATA programs so the reader may modify them for their own experiments. In short, I believe Experimetrics should become an indispensable part of every experimentalist's toolkit.' David Butler, Murdoch University, Australia 'Experimetrics is a very well-written book, providing an outstanding in-depth analysis of the econometric methodology into economics experiments. It is structured in a balanced way covering the most topical issues in the experimental literature. Superb writing style and coverage!' Michalis Drouvelis, University of Birmingham, UK 'Experimetrics provides an excellent overview of the issues concerning the econometric analysis of experimental data. Numerous STATA codes enrich the book and make the methods very accessible.' Charles Bellemare, Universite Laval, Canada 'This is an invaluable text produced by an expert in the field. It provides guidance and reference for the increasingly large number of experimental economists who want to do some serious econometric analysis of their experimental data. It is breath-taking in its coverage and its precision, yet at the same time it is eminently readable. One can only admire the author for the clarity of the exposition of material which is inherently complicated. Not only does it explain the concepts cleanly and precisely, it also provides numerous examples of applications. It will become compulsory reading for all experimental economists.' John Hey, University of York, UK 'Every experimentalist should read this book, to understand when she generates challenging data, and to find out how to parry the challenge if it cannot be preempted by design.' Christoph Engel, Max Planck Institute, Germany 'This is an invaluable text produced by an expert in the field. It provides guidance and reference for the increasingly large number of experimental economists who want to do some serious econometric analysis of their experimental data. It is breath-taking in its coverage and its precision, yet at the same time it is eminently readable. One can only admire the author for the clarity of the exposition of material which is inherently complicated. Not only does it explain the concepts cleanly and precisely, it also provides numerous examples of applications. It will become compulsory reading for all experimental economists.' John Hey, University of York, UK Author InformationPeter G. Moffatt is Professor of Econometrics at the University of East Anglia, UK. Tab Content 6Author Website:Countries AvailableAll regions |
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