Narrow Your Choices

Refine By Type

Refine By Countries

Refine By Topic

Refine By Series

Refine By Language

Refine By Date

—

Refine By IMF Taxonomy

Refine By JEL Taxonomy

Refine by LOC Taxonomy

Refine By THEMA Taxonomy

  • Print
  • Save

Search Results

You are looking at 1 - 3 of 3 items for :

  • "reopening Indicator" x
Clear All
Cover IMF Working Papers
Using the Google Places API and Google Trends Data to Develop High Frequency Indicators of Economic Activity
Mr. Paul A Austin, Mr. Marco Marini, Alberto Sanchez, Chima Simpson-Bell, and James Tebrake
As the pandemic heigthened policymakers’ demand for more frequent and timely indicators to assess economic activities, traditional data collection and compilation methods to produce official indicators are falling short—triggering stronger interest in real time data to provide early signals of turning points in economic activity. In this paper, we examine how data extracted from the Google Places API and Google Trends can be used to develop high frequency indicators aligned to the statistical concepts, classifications, and definitions used in producing official measures. The approach is illustrated by use of Google data-derived indicators that predict well the GDP trajectories of selected countries during the early stage of COVID-19. To this end, we developed a methodological toolkit for national compilers interested in using Google data to enhance the timeliness and frequency of economic indicators.
Keywords:
Reopening; COVID-19; High-Frequency Data; Business Register.; Google Trends data; Google data; high-frequency data; high frequency indicator; reopening Indicator; APIs; Big data; Manufacturing; Africa; Global
Cover IMF Working Papers
Front Matter
Mr. Paul A Austin, Mr. Marco Marini, Alberto Sanchez, Chima Simpson-Bell, and James Tebrake

Ford Escape – Canada 3. Operating Indicator (weighted by reviews) for Selected City Centers 4. Business Re-opening Indicator for Selected City Centers 5. Review Activity Indicator 6. Change in Google Trends Compared to Change in Real Quarterly GDP 7. Transportation and Storage: Comparison between Official Data (GDP-H), Google Trends (TRE-H), and Reopening Indicator (REOP) for Selected Countries 8. Transportation and Storage: Nowcasts for 2020-Q2 and 2020-Q3 Tables 1. Fields of Information that can be Extracted for Each Place using Google Places API

Keywords:
review activity Indicator
Cover IMF Working Papers
Using the Google Places API and Google Trends Data to Develop High Frequency Indicators of Economic Activity
Mr. Paul A Austin, Mr. Marco Marini, Alberto Sanchez, Chima Simpson-Bell, and James Tebrake

following five time periods. The indicator is calculated as the number of open firms divided by the total number of firms that were temporarily closed in the baseline period. Table 9. Reopening Indicator Place Period B Period 1 Period 2 Period 3 Period 4 Period 5 A 2 2 2 2 2 2 B 2 2 2 2 2 1 C 2 2 1 2 1 1 D 2 2 1 1 1 1 E 2 1 1 1 1 1 Indicator 100 20 60 40 60 80 The above methodology was used to construct a business re

Keywords:
Google data; business activity; Google search category; Google Places API; methodology Google