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Experimetrics : econometrics for experimental economics

Author: Peter G Moffatt
Publisher: London ; New York : Macmillan education, Palgrave, 2016. ©2016
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
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 books takes a hands-on approach by explaining STATA commands  Read more...
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Document Type: Book
All Authors / Contributors: Peter G Moffatt
ISBN: 9780230250239 0230250238 9780230250222 023025022X
OCLC Number: 934436852
Description: xv, 476 pages : illustrations ; 24 cm
Contents: 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.
Responsibility: Peter G. Moffatt.

Abstract:

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  Read more...

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'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 Read more...

 
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