Experimetrics: Econometrics for Experimental Economics

An essential guide to techniques used to analyse experimental data in economics, written by one of the world's experts in the field. Designed to show advanced economics students and researchers how to tackle difficult econometric problems inherent in the methodology such as between-subject heterogeneity, and upper and lower censoring. 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.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 examplesAnd- An Excel file containing some Excel calculations presented in the text