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

Autor
Claveria, O.; Monte, E.; Torra Porras, Salvador
Tipus d'activitat
Article en revista
Revista
Empirica
Data de publicació
2018-01-09
Pàgina inicial
1
Pàgina final
23
DOI
https://doi.org/10.1007/s10663-017-9395-1 Obrir en finestra nova
Projecte finançador
Tecnologías de aprendizaje profundo aplicadas al procesado de voz y audio
Repositori
http://hdl.handle.net/2117/112846 Obrir en finestra nova
URL
https://link.springer.com/article/10.1007/s10663-017-9395-1 Obrir en finestra nova
Resum
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...
Citació
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, p. 1-23.
Paraules clau
Economic indicators, Evolutionary algorithms, Expectations, Genetic programming, Qualitative survey data, Symbolic regression
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla
VEU - Grup de Tractament de la Parla

Participants