Big Data for Policy Analysis: The Good, The Bad, and The Ugly
Laurie A. Schintler and
Rajendra Kulkarni
Review of Policy Research, 2014, vol. 31, issue 4, 343-348
Abstract:
Big data holds tremendous potential for public policy analysis. At the same time, its use prompts a number of issues related to statistical bias, privacy, equity, and governance, among others. Accordingly, there is a need to formulate, evaluate, and implement policies that not only mitigate the risks, but also maximize the benefits of using big data for policy analysis. This poses a number of challenges, which are highlighted in this essay.
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (14)
Downloads: (external link)
http://hdl.handle.net/10.1111/ropr.12079 (text/html)
Access to full text is restricted to 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:bla:revpol:v:31:y:2014:i:4:p:343-348
Ordering information: This journal article can be ordered from
http://www.wiley.com/bw/subs.asp?ref=1541-132x
Access Statistics for this article
Review of Policy Research is currently edited by Christopher Gore
More articles in Review of Policy Research from Policy Studies Organization Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().