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Mr. Paul A Austin, Mr. Marco Marini, Alberto Sanchez, Chima Simpson-Bell, and James Tebrake

measures of economic activity that can be used to increase the timeliness and frequency of official measures. This paper is organized as follows. Section II describes Google Places API and Google Trends and how they can be accessed by national statistical organizations. Section III explains how country compilers and researchers can process these data and develop high frequency indicators that align with the concepts, classifications, definitions, and methods used to produce official measures of economic activity. Section IV shows an application of these indicators to

Mr. Paul A Austin, Mr. Marco Marini, Alberto Sanchez, Chima Simpson-Bell, and James Tebrake

Copyright Page © 2021 International Monetary Fund WP/21/295 IMF Working Paper Statistics Department Using the Google Places API and Google Trends Data to Develop High Frequency Indicators of Economic Activity Prepared by Paul Austin, Marco Marini, Alberto Sanchez, Chima Simpson-Bell, and James Tebrake Authorized for distribution by J. R. Rosales December 2021 IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate . The views expressed in IMF Working Papers are those of