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Empirical modelling of survey-based expectations for the design of economic indicators in five European regions

Author
Claveria, O.; Monte, E.; Torra Porras, Salvador
Type of activity
Journal article
Journal
Empirica
Date of publication
2018-01-09
Volume
2018
First page
1
Last page
23
DOI
https://doi.org/10.1007/s10663-017-9395-1 Open in new window
Project funding
Deep learning technologies for speech and audio processing
Repository
http://hdl.handle.net/2117/112846 Open in new window
URL
https://link.springer.com/article/10.1007/s10663-017-9395-1 Open in new window
Abstract
In this study we use agents’ expectations about the state of the economy to generate indicators of economic activity in twenty-six European countries grouped in five regions (Western, Eastern, and Southern Europe, and Baltic and Scandinavian countries). We apply a data-driven procedure based on evolutionary computation to transform survey variables in economic growth rates. In a first step, we design five independent experiments to derive a formula using survey variables that best replicates t...
Citation
Claveria, O., Monte, E., Torra Porras, S. Empirical modelling of survey-based expectations for the design of economic indicators in five European regions. "Empirica", 9 Gener 2018, vol. 2018, p. 1-23.
Keywords
Economic indicators, Evolutionary algorithms, Expectations, Genetic programming, Qualitative survey data, Symbolic regression
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

Participants

  • Claveria González, Oscar  (author)
  • Monte Moreno, Enrique  (author)
  • Torra Porras, Salvador  (author)

Attachments