Predicting the Present with Google Trends

8 Pages Posted: 28 Jun 2012

See all articles by Hyunyoung Choi

Hyunyoung Choi

Kensho Technologies; 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)

Multiple version iconThere are 2 versions of this paper

Date Written: June 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.

JEL Classification: C1, C8, C53

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: https://ssrn.com/abstract=2094858 or http://dx.doi.org/10.1111/j.1475-4932.2012.00809.x

Hyunyoung Choi

Kensho Technologies

17 Dunster Street Suite 300
Cambridge, MA 02138
United States

Triggit, Inc ( email )

1535 Mission Street
San Francisco, CA 94134
United States

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

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