Designing Information Provision Experiments

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Standard

Designing Information Provision Experiments. / Wohlfart, Johannes; Haaland, Ingar; Roth, Christopher.

I: Journal of Economic Literature, Bind 61, Nr. 1, 2023, s. 3-40.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Wohlfart, J, Haaland, I & Roth, C 2023, 'Designing Information Provision Experiments', Journal of Economic Literature, bind 61, nr. 1, s. 3-40. https://doi.org/10.2139/ssrn.3638879, https://doi.org/10.1257/jel.20211658

APA

Wohlfart, J., Haaland, I., & Roth, C. (2023). Designing Information Provision Experiments. Journal of Economic Literature, 61(1), 3-40. https://doi.org/10.2139/ssrn.3638879, https://doi.org/10.1257/jel.20211658

Vancouver

Wohlfart J, Haaland I, Roth C. Designing Information Provision Experiments. Journal of Economic Literature. 2023;61(1):3-40. https://doi.org/10.2139/ssrn.3638879, https://doi.org/10.1257/jel.20211658

Author

Wohlfart, Johannes ; Haaland, Ingar ; Roth, Christopher. / Designing Information Provision Experiments. I: Journal of Economic Literature. 2023 ; Bind 61, Nr. 1. s. 3-40.

Bibtex

@article{8868c840a37344f488da5cb57350cebf,
title = "Designing Information Provision Experiments",
abstract = "Information provision experiments allow researchers to test economic theories and answer policy-relevant questions by varying the information set available to respondents. We survey the emerging literature using information provision experiments in economics and discuss applications in macroeconomics, finance, political economy, public economics, labor economics, and health economics. We also discuss design considerations and provide best-practice recommendations on how to (i) measure beliefs, (ii) design the information intervention, (iii) measure belief updating, (iv) deal with potential confounds, such as experimenter demand effects, and (v) recruit respondents using online panels. We finally discuss typical effect sizes and provide sample size recommendations. ",
keywords = "Faculty of Social Sciences, Design of Experiments: General, Search, Learning, Information and Knowledge, Communication, Belief, Unawareness, Micro-based behavioral economics, role and effects of psychological, emotion, social, and cognitive factors on decision making",
author = "Johannes Wohlfart and Ingar Haaland and Christopher Roth",
year = "2023",
doi = "10.2139/ssrn.3638879",
language = "English",
volume = "61",
pages = "3--40",
journal = "Journal of Economic Literature",
issn = "0022-0515",
publisher = "American Economic Association",
number = "1",

}

RIS

TY - JOUR

T1 - Designing Information Provision Experiments

AU - Wohlfart, Johannes

AU - Haaland, Ingar

AU - Roth, Christopher

PY - 2023

Y1 - 2023

N2 - Information provision experiments allow researchers to test economic theories and answer policy-relevant questions by varying the information set available to respondents. We survey the emerging literature using information provision experiments in economics and discuss applications in macroeconomics, finance, political economy, public economics, labor economics, and health economics. We also discuss design considerations and provide best-practice recommendations on how to (i) measure beliefs, (ii) design the information intervention, (iii) measure belief updating, (iv) deal with potential confounds, such as experimenter demand effects, and (v) recruit respondents using online panels. We finally discuss typical effect sizes and provide sample size recommendations.

AB - Information provision experiments allow researchers to test economic theories and answer policy-relevant questions by varying the information set available to respondents. We survey the emerging literature using information provision experiments in economics and discuss applications in macroeconomics, finance, political economy, public economics, labor economics, and health economics. We also discuss design considerations and provide best-practice recommendations on how to (i) measure beliefs, (ii) design the information intervention, (iii) measure belief updating, (iv) deal with potential confounds, such as experimenter demand effects, and (v) recruit respondents using online panels. We finally discuss typical effect sizes and provide sample size recommendations.

KW - Faculty of Social Sciences

KW - Design of Experiments: General

KW - Search

KW - Learning

KW - Information and Knowledge

KW - Communication

KW - Belief

KW - Unawareness

KW - Micro-based behavioral economics

KW - role and effects of psychological, emotion, social, and cognitive factors on decision making

U2 - 10.2139/ssrn.3638879

DO - 10.2139/ssrn.3638879

M3 - Journal article

VL - 61

SP - 3

EP - 40

JO - Journal of Economic Literature

JF - Journal of Economic Literature

SN - 0022-0515

IS - 1

ER -

ID: 288650338