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Experimetrics: Econometrics for Experimental Economics de Peter Moffatt

Experimetrics: Econometrics for Experimental Economics

Autor Peter Moffatt
en Limba Engleză Hardback – 3 dec 2015
This advanced textbook is an essential guide to discovering new and more illuminating ways to analyse the econometric modelling of experimental data. Peter Moffatt, one of the world's experts in the field, covers a range of techniques: from the familiar, such as treatment testing, to lesser known ones such as finite mixture models and the method of maximum simulated likelihood. The book takes a hands-on approach by explaining STATA commands in detail. In addition, difficult problems inherent in the methodology are addressed, such as the parametric estimation of social preference models, quantal response models, and learning models. An indispensable book for researchers and advanced students in experimental and behavioural economics who want to come to grips with the field of Experimetrics.Accompanying online resources for this title can be found at bloomsburyonlineresources.com/experimetrics-econometrics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.It contains:- All data sets (in Stata format) used as examples in the book- An executable Stata 'do-file' containing stata commands and programs used in examples- An Excel file containing some Excel calculations presented in the text
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Specificații

ISBN-13: 9780230250222
ISBN-10: 023025022X
Pagini: 496
Ilustrații: 80 graphs, 20 line diagrams
Dimensiuni: 156 x 156 x 33 mm
Greutate: 0.89 kg
Ediția:1st ed. 2015
Editura: Bloomsbury Publishing
Colecția Red Globe Press
Locul publicării:London, United Kingdom

Caracteristici

Step-by-step guides to the estimation of structural econometric models using STATA, with the STATA code explained line-by-line

Notă biografică

Peter G. Moffatt is Professor of Econometrics at the University of East Anglia, UK.

Cuprins

1. 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.

Descriere

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Experimetrics is an essential guide to discovering new and more illuminating ways to analyse experimental econometric data.

Peter Moffatt, one of the world's experts in the field, covers a range of techniques: from the familiar, such as treatment testing, to lesser known ones such as finite mixture models and the method of maximum simulated likelihood. The book takes a hands-on approach by explaining STATA commands in detail. In addition, difficult problems inherent in the methodology are addressed, such as the parametric estimation of social preference models, quantal response models, and learning models.

An indispensable book for researchers and advanced students in experimental and behavioural economics who want to come to grips with the field of Experimetrics.
 
The companion website www.palgrave.com/moffatt contains:
– all data sets (in Stata format) used as examples in the book;
– an executable Stata 'do-file' containing stata commands and programs used in examples; and
– an Excel file containing some Excel calculations presented in the text

Textul de pe ultima copertă

Experimetrics is an essential guide to discovering new and more illuminating ways to analyse experimental econometric data.

Peter Moffatt, one of the world's experts in the field, covers a range of techniques: from the familiar, such as treatment testing, to lesser known ones such as finite mixture models and the method of maximum simulated likelihood. The book takes a hands-on approach by explaining STATA commands in detail. In addition, difficult problems inherent in the methodology are addressed, such as the parametric estimation of social preference models, quantal response models, and learning models.

An indispensable book for researchers and advanced students in experimental and behavioural economics who want to come to grips with the field of Experimetrics.

The companion website www.palgrave.com/moffatt contains:
– all data sets (in Stata format) used as examples in the book;
– an executable Stata 'do-file' containing stata commands and programs used in examples; and
– an Excel file containing some Excel calculations presented in the text