Abstract

  
 

Citations (31)



 


 



Predicting the Present with Google Trends


Hyunyoung Choi


Triggit, Inc

Hal R. Varian


University of California, Berkeley - School of Information; University of California, Berkeley - Operations and Information Technology Management Group; National Bureau of Economic Research (NBER)
June 2012

Economic Record, Vol. 88, pp. 2-9, 2012

Abstract:     
In this paper we show how to use search engine data to forecast near‐term values of economic indicators. Examples include automobile sales, unemployment claims, travel destination planning and consumer confidence.

Number of Pages in PDF File: 8

JEL Classification: C1, C8, C53

Accepted Paper Series


Date posted: June 28, 2012  

Suggested Citation

Choi, Hyunyoung and Varian, Hal R., Predicting the Present with Google Trends (June 2012). Economic Record, Vol. 88, pp. 2-9, 2012. Available at SSRN: http://ssrn.com/abstract=2094858 or http://dx.doi.org/10.1111/j.1475-4932.2012.00809.x

Contact Information

Hyunyoung Choi
Triggit, Inc ( email )
1535 Mission Street
San Francisco, CA 94134
Hal R. Varian
University of California, Berkeley - School of Information ( email )
102 South Hall
Berkeley, CA 94720-4600
United States
510-642-9980 (Phone)
510-642-5814 (Fax)
HOME PAGE: http://www.sims.berkeley.edu/~hal/people/hal/biography.html
University of California, Berkeley - Operations and Information Technology Management Group ( email )
545 Student Services Building
Berkeley, CA 94720
United States
510-643-6388 (Phone)
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Feedback to SSRN (Beta)


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