EconPapers    
Economics at your fingertips  
 

A method for dealing with regional differences in population size when interpreting slopes in Google Trends query data

Malcolm L McCallum

No hya7s, SocArXiv from Center for Open Science

Abstract: A quandary exists when comparing trend lines of Google Trends query data among different countries. This approach provides directionality and speed of change, but it does not account for the quantity of movement occurring when comparing large regions to small ones. This study applies the physical concept of momentum to the analysis of Google Trends results to provide a method for comparing trends among countries. By accounting for the volume of interest along with the direction and rate of interest gain/loss, one is able to make accurate quantitative statements about how the public in differently sized regions may shift interests and opinion on different issues. Momentum allows us to identify how countries have responded and how they may respond in the future without the erroneous assumption that the behaviors of large and small populations are equally flexible and responsive to new ideas.

Date: 2018-06-02
New Economics Papers: this item is included in nep-big
References: Add references at CitEc
Citations:

Downloads: (external link)
https://osf.io/download/5b11dada64f25a001973bbd3/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:hya7s

DOI: 10.31219/osf.io/hya7s

Access Statistics for this paper

More papers in SocArXiv from Center for Open Science
Bibliographic data for series maintained by OSF ().

 
Page updated 2025-03-19
Handle: RePEc:osf:socarx:hya7s