Biased Wisdom from the Crowd

49 Pages Posted: 27 Feb 2023 Last revised: 15 Nov 2024

See all articles by Dandan Zhao

Dandan Zhao

Zhongnan University of Economics and Law

Zhen Zhou

Tsinghua University - PBC School of Finance

Multiple version iconThere are 2 versions of this paper

Date Written: February 16, 2023

Abstract

This paper studies information aggregation in common-value crowdfunding through the strategic choices of privately informed agents. A strategic substitution arises due to the consequentiality condition—an investment pledge matters only if total investment surpasses a funding threshold. In equilibrium, agents may invest despite their information suggesting otherwise, causing socially inefficient over-investments. While crowdfunding enables agents to benefit from collective wisdom, it fails to effectively extract it. Information aggregation is biased, favoring the endorsement of desirable projects over screening out undesirable ones, even as crowd size grows indefinitely. We further distinguish crowdfunding from voting and coordination games by comparing consequentiality with pivotality and regime-change conditions, and extend our model to account for private valuations, fixed funding goals, subscription costs, donations, and dynamic learning.

Keywords: Information Aggregation, Crowdfunding, Wisdom of the Crowd, Substitutability

JEL Classification: D82, D83, G29

Suggested Citation

Zhao, Dandan and Zhou, Zhen, Biased Wisdom from the Crowd (February 16, 2023). PBCSF-NIFR Research Paper Forthcoming, Available at SSRN: https://ssrn.com/abstract=4360736 or http://dx.doi.org/10.2139/ssrn.4360736

Dandan Zhao

Zhongnan University of Economics and Law ( email )

No.143, Wuluo Road
Wuhan, Hubei 430073
China

Zhen Zhou (Contact Author)

Tsinghua University - PBC School of Finance ( email )

No. 43, Chengdu Road
Haidian District
Beijing 100083
China

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
301
Abstract Views
1,019
Rank
205,725
PlumX Metrics