EconPapers    
Economics at your fingertips  
 

Internalizing Externalities: Designing Effective Data Policies

Ryan Hill, Carolyn Stein and Heidi Williams ()

AEA Papers and Proceedings, 2020, vol. 110, 49-54

Abstract: Many economics journals have recently invested in efforts to archive and curate research data and promote reproducible research. The economics profession has focused relatively less attention on what types of institutions and incentives might encourage and subsidize the creation and sharing of datasets that are likely to encourage novel follow-on research of high social value. This paper describes some examples from other scientific fields of institutions and incentives designed to promote subsequent research and speculates on some potential reforms that could be undertaken within economics to encourage the type of data sharing most likely to encourage socially valuable follow-on research.

JEL-codes: A14 D62 I23 (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.aeaweb.org/doi/10.1257/pandp.20201060 (application/pdf)
https://www.aeaweb.org/doi/10.1257/pandp.20201060.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:110:y:2020:p:49-54

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

DOI: 10.1257/pandp.20201060

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 ().

 
Page updated 2025-09-11
Handle: RePEc:aea:apandp:v:110:y:2020:p:49-54