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von Graevenitz, G, Queen Mary University of London
Helmers, C, Santa Clara University, California
Millot, V, OECD
Hviid, M
Study number / PID
851641 (UKDA)
10.5255/UKDA-SN-851641 (DOI)
Data access
Open
Series
Not available
Abstract
Data collection of search data retrieved from Google Trends for brands of car manufacturers and their car brands as well as data for the brands of listed companies active in Europe. Data were retrieved using R code for a list of keywords of interest.
The aim of this project was to investigate whether data from Google Trends could be used to value brands. Currently brand valuation methods are highly complex and results are generally not available for many brands and are not comparable across brands. We downloaded Google Trends data for brands in the automotive sector and for the brands of listed companies. The data were then joined to other data about the firms and brands we collected from public sources. Analysis of this data showed that Google Trends data provides a good measure of changes to brand value for well established brands with national or global reach in the automotive sector. The data capture changes in brand value that are the result of exogeous shocks, e.g. as a result of product recalls. Google Trends data also contain information about variation in stock market value of listed companies that is not contained in data released through firms' quarterly and annual reports or in other publicly available data on intellectual property rights and citations of these rights.
The Google Trends data was complemented by data on car registrations and characteristics from various sources and data on various shocks affecting the car industry. These are not included in this dataset. Brands are names, phrases, symbols or designs that identify particular products, which are often protected by trade marks. Trade marks help owners protect their reputation by forbidding use of their brand name by others.
Trade marks are usually registered, but not all registered marks are used. Much litigation arises over the extent of use and reputation of marks, which often results in costly surveys being run with data from trade mark registers and data from Google's search...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/01/2014 - 31/12/2014
Country
United Kingdom, Germany (October 1990-)
Time dimension
Not available
Analysis unit
Object
Organization
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
Data on Google Trends derived by download from Google. The script used is available on GitHub (see Related resources).The initial input is a csv file containing two columns: “id”, which contains an identifier, and “names”, which contains the keywords to search for. The final output is a STATA table with the merged weekly series, each named from the corresponding id. Additional data collected (but not available in this dataset): (1) Automotive Companies: Data on German car manufacturers compiled from data made available by the Kraftfahrtbundesamt, ADAC and the European Commission. Data on UK car manufacturers is compiled from data made available by the DfT and the European Commission.(2) Listed Companies: Data on listed companies comes from AMADEUS, DATASTREAM and COMPUSTAT. Data on intellectual property rights was obtained from PATSTAT and from the European Trade Mark Office. Data on patent citations was created by Dietmar Harhoff.