Economics at your fingertips  

Better statistics, better economic policies?

Johannes Binswanger () and Manuel Oechslin

European Economic Review, 2020, vol. 130, issue C

Abstract: More and more economic transactions leave a “digital footprint”. This trend opens unprecedented opportunities for improving economic statistics and underpins demands to give statistical agencies far-reaching access to private-sector data. We analyze the consequences of better economic statistics in a political-agency framework that includes fundamental uncertainty about the impact of potentially welfare-enhancing reforms. We demonstrate that improvements in economic statistics can inhibit—rather than stimulate—reform attempts. With better statistics, the government is less likely to receive the “benefit of the doubt” if the numbers suggest its past reforms are failing. Reforms therefore come with a higher risk of electoral losses, implying that the government has stronger incentives to preserve the status quo. We identify political environments that are particularly vulnerable to this mechanism and contribute to the debate on private-sector data access.

Keywords: Digitalization; Economic statistics; Political economy; Reforms; Uncertainty (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

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:

DOI: 10.1016/j.euroecorev.2020.103588

Access Statistics for this article

European Economic Review is currently edited by T.S. Eicher, A. Imrohoroglu, E. Leeper, J. Oechssler and M. Pesendorfer

More articles in European Economic Review from Elsevier
Bibliographic data for series maintained by Nithya Sathishkumar ().

Page updated 2021-04-12
Handle: RePEc:eee:eecrev:v:130:y:2020:i:c:s001429212030218x