Arbeitspapier

Google econometrics: Nowcasting euro area car sales and big data quality requirements

"Big data" is becoming an increasingly important aspect of our daily lives as the digital sources of information and intelligence that it encompasses become more structured and more publicly available. These sources may enable the generation of new datasets providing high-frequency and timely insights into unconscious digital behaviour and the consequent actions of economic agents, which may, in turn, assist in the generation of early indicators of economic and financial trends and activities. This paper examines the usefulness of Google search data in nowcasting euro area car sales, as a leading macroeconomic indicator, and considers the quality requirements for using these new data sources as a toolkit for sound decision and policy making. The paper finds that, while Google data may have predictive capabilities for nowcasting euro area car sales, further quality improvements in the data source are needed in order to move beyond experimental statistics. If these quality requirements can be met, the resulting advances in theory and knowledge around interpreting big data can be expected to significantly re-shape how we think about and explain both behaviour and complex socio-economic phenomena.

ISBN
978-92-899-3359-9
Language
Englisch

Bibliographic citation
Series: ECB Statistics Paper ; No. 30

Classification
Wirtschaft
Forecasting Models; Simulation Methods
Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
Central Banks and Their Policies
Macro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on the Macro Economy‡
Subject
big data
modelling
vector auto regression
nowcasting
statistics
quality
google internet search

Event
Geistige Schöpfung
(who)
Nymand-Andersen, Per
Pantelidis, Emmanouil
Event
Veröffentlichung
(who)
European Central Bank (ECB)
(where)
Frankfurt a. M.
(when)
2018

DOI
doi:10.2866/6700
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Nymand-Andersen, Per
  • Pantelidis, Emmanouil
  • European Central Bank (ECB)

Time of origin

  • 2018

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