Experimetrics : econometrics for experimental economics / Peter G. Moffatt. (Text)

Includes bibliographical references (p. 463-471) and index.

Introduction and overview -- Statistical aspects of experimental design in experimental economics -- Treatment testing -- Theory testing, regression, and dependence -- Modelling of decision times using regression analysis -- Dealing with discreteness in experimental data -- Ordinal data in experimetrics -- Dealing with heterogeneity : finite mixture models -- Simulating experimental data, and the Monte Carlo method -- Introduction to the method of maximum simulated likelihood (MSL) -- Dealing with zeros : hurdle models -- Choice under risk : theoretical issues -- Choice under risk : econometric modelling -- Optimal design in binary choice experiments -- Social preference models -- Repeated games and quantal response models -- Depth of reasoning models -- Learning models -- Summary and conclusion.