Constructing Consumer Sentiment Index for U.S. Using Google Searches
We construct a consumer sentiment index for the U.S. using the popularity trends of selected Google searches. The final index consists of four components and is highly correlated with the Index of Consumer Sentiment from the University of Michigan and the Consumer Confidence Index from the Conference Board. Among the three sentiment indices, the Google search-based index (SBI) leads in time and predicts other indices. In terms of forecasting consumer spending, the SBI outperforms both the ICS and the CCI and provides independent information. For robustness, we use multiple measures of consumer spending and a range of statistical specifications. The finding is robust.
|Date of creation:||01 Oct 2009|
|Date of revision:||01 Feb 2010|
|Contact details of provider:|| Postal: 8-14 HM Tory, Edmonton, Alberta, T6G 2H4|
Phone: (780) 492-3406
Fax: (780) 492-3300
Web page: http://www.economics.ualberta.ca/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:ris:albaec:2009_026. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Brenda Carrier)
If references are entirely missing, you can add them using this form.