Advances in Efficient Design of Experiments in Economics

Amidst concerns about replicability but also thanks to the professionalisation of labs, the rise of pre-registration, the switch to online experiments, and enhanced computational power, experimental economics is undergoing rapid changes. They all call for efficient designs and data analysis, that is, they require that, given the constraints on participants' time, experiments provide as rich information as possible. In this Element the authors explore some ways in which this goal may be reached.

List of contents

1. Introduction and overview of the element; 2. Causality and random assignment; 3. Optimal designs; 4. Discrete choice experiments; 5. Adaptive designs; References.

Summary

Amidst concerns about replicability, the rise of pre-registration, the switch to online experiments, and enhanced computational power, experimental economics is undergoing rapid changes. This Element explores ways in which efficient designs and data analysis provide as rich information as possible.

Foreword

This Element highlights that making use of recent advances and adapting concepts from related fields can boost efficiency.

Product details

• Authors: Michał Wiktor Krawczyk, Michal Wiktor (University of Warsaw) Nob Krawczyk, John Masson Noble
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 31.01.2025
• EAN: 9781009500357
• ISBN: 978-1-0-0950035-7
• No. of pages: 96
• Series: Elements in Behavioural and Experimental Economics
• Subjects: Social sciences, law, business > Business > Miscellaneous; Health economics, BUSINESS & ECONOMICS / Economics / Microeconomics, Economic statistics, Behavioural economics, Econometrics, Econometrics and economic statistics