Designing Information Provision Experiments

CEBI Working Paper Series, Working Paper 20/20

55 Pages Posted: 22 Jul 2020

See all articles by Ingar Haaland

Ingar Haaland

University of Bergen

Christopher Roth

University of Warwick, Faculty of Social Studies, Department of Economics, Students

Johannes Wohlfart

University of Copenhagen

Multiple version iconThere are 2 versions of this paper

Date Written: June 29, 2020

Abstract

We review methodological questions relevant for the design of information provision experiments. We first provide a literature review of major areas in which information provision experiments are applied. We then outline key measurement challenges and design recommendations that may be of help for practitioners planning to conduct an information experiment. We discuss the measurement of subjective beliefs, including the role of incentives and ways to reduce measurement error. We also discuss the design of the information intervention, as well as the measurement of belief updating. Moreover, we describe ways to mitigate potential experimenter demand effects and numerical anchoring arising from the information treatment. Finally, we discuss typical effect sizes in information experiments.

Keywords: Experimental Design, Beliefs, Information, Obfuscation

JEL Classification: C90, D83, D91, L82

Suggested Citation

Haaland, Ingar and Roth, Christopher and Wohlfart, Johannes, Designing Information Provision Experiments (June 29, 2020). CEBI Working Paper Series, Working Paper 20/20, Available at SSRN: https://ssrn.com/abstract=3638879 or http://dx.doi.org/10.2139/ssrn.3638879

Ingar Haaland

University of Bergen ( email )

Muséplassen 1
N-5008 Bergen, +47 55 58
Norway

Christopher Roth

University of Warwick, Faculty of Social Studies, Department of Economics, Students ( email )

Coventry, CV4 7AL
United Kingdom

Johannes Wohlfart (Contact Author)

University of Copenhagen ( email )

Nørregade 10
Copenhagen, København DK-1165
Denmark

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
640
Abstract Views
2,018
Rank
20,260
PlumX Metrics