EconPapers    
Economics at your fingertips  
 

Google search-based metrics, policy-related uncertainty and macroeconomic conditions

Michael Donadelli

Applied Economics Letters, 2015, vol. 22, issue 10, 801-807

Abstract: We propose three novel measures of policy-related uncertainty based on the volume of Google searches for ( i ) 'US stock market'; ( ii ) 'US politics'; ( iii ) 'US Fed'. In a VAR context, we find that a Google-search-based uncertainty shock has sizable adverse effects on US macroeconomic conditions. In particular, it produces ( i ) a drop in industrial production, consumer sentiment, equity prices, long-term rates and consumer credit; ( ii ) a rise in the unemployment rate. These effects are nearly identical to those generated by a shock to a standard policy-related uncertainty indicator. Our empirical findings suggest that a rise in the volume of internet searches for economic policy-related topics is a symptom of increasing uncertainty. It turns out that the proposed Google-search-based metrics meet standard policy-related uncertainty indicators.

Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (32)

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2014.978070 (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:taf:apeclt:v:22:y:2015:i:10:p:801-807

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504851.2014.978070

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:apeclt:v:22:y:2015:i:10:p:801-807