Selection Bias in Voluntary Random Testing: Evidence from a COVID-19 Antibody Study

Deniz Dutz, Michael Greenstone, Ali Hortaçsu, Santiago Lacouture, Magne Mogstad, Danae Roumis, Azeem Shaikh, Alexander Torgovitsky and Winnie van Dijk

AEA Papers and Proceedings, 2023, vol. 113, 562-66

Abstract: We use data from a serological study that experimentally varied financial incentives for participation to detect and characterize selection bias. Participants are from neighborhoods with substantially lower COVID-19 risks. Existing methods to account for the resulting selection bias produce wide bounds or estimates that are inconsistent with the population. One explanation for these inconsistent estimates is that the underlying methods presume a single dimension of unobserved heterogeneity. The data suggest that there are two types of nonparticipants with opposing selection patterns. Allowing for these different types may lead to better accounting for selection bias.

JEL-codes: I12 I18 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.aeaweb.org/doi/10.1257/pandp.20231091 (application/pdf)
https://doi.org/10.3886/E187384V1 (text/html)
https://www.aeaweb.org/doi/10.1257/pandp.20231091.ds (application/zip)
Access to full text is restricted to AEA members and institutional subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aea:apandp:v:113:y:2023:p:562-66

Ordering information: This journal article can be ordered from
https://www.aeaweb.org/subscribe.html

DOI: 10.1257/pandp.20231091

Access Statistics for this article

AEA Papers and Proceedings is currently edited by William Johnson and Kelly Markel

More articles in AEA Papers and Proceedings from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().