Peter Moffatt

Since the 1980s, there has been explosive growth in the use of experimental methods in economics, leading to exciting developments in economic theory and policy. Despite this, the status of experimental economics remains controversial. In Experimental Economics, the authors draw on their experience and expertise in experimental economics, economic theory, the methodology of economics, philosophy of science, and the econometrics of experimental data to offer a balanced and integrated look at the nature and reliability of claims based on experimental research. The authors explore the history of experiments in economics, provide examples of different types of experiments, and show that the growing use of experimental methods is transforming economics into a genuinely empirical science. They explain that progress is being held back by an uncritical acceptance of folk wisdom regarding how experiments should be conducted, a failure to acknowledge that different objectives call for different approaches to experimental design, and a misplaced assumption that principles of good practice in theoretical modeling can be transferred directly to experimental design. Experimental Economics debates how such limitations might be overcome, and will interest practicing experimental economists, nonexperimental economists wanting to interpret experimental research, and philosophers of science concerned with the status of knowledge claims in economics.

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

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

Since the 1980s, there has been explosive growth in the use of experimental methods in economics, leading to exciting developments in economic theory and policy. Despite this, the status of experimental economics remains controversial. In Experimental Economics, the authors draw on their experience and expertise in experimental economics, economic theory, the methodology of economics, philosophy of science, and the econometrics of experimental data to offer a balanced and integrated look at the nature and reliability of claims based on experimental research. The authors explore the history of experiments in economics, provide examples of different types of experiments, and show that the growing use of experimental methods is transforming economics into a genuinely empirical science. They explain that progress is being held back by an uncritical acceptance of folk wisdom regarding how experiments should be conducted, a failure to acknowledge that different objectives call for different approaches to experimental design, and a misplaced assumption that principles of good practice in theoretical modeling can be transferred directly to experimental design. Experimental Economics debates how such limitations might be overcome, and will interest practicing experimental economists, nonexperimental economists wanting to interpret experimental research, and philosophers of science concerned with the status of knowledge claims in economics.