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A new approach for the quantification of qualitative measures of economic expectations

Autor
Claveria, O.; Monte, E.; Torra Porras, Salvador
Tipus d'activitat
Article en revista
Revista
Quality and quantity
Data de publicació
2016-09-24
DOI
https://doi.org/10.1007/s11135-016-0416-0 Obrir en finestra nova
Projecte finançador
Tecnologías de aprendizaje profundo aplicadas al procesado de voz y audio
Repositori
http://hdl.handle.net/2117/90422 Obrir en finestra nova
URL
http://link.springer.com.recursos.biblioteca.upc.edu/article/10.1007/s11135-016-0416-0 Obrir en finestra nova
Resum
In this study a new approach to quantify qualitative survey data about the direction of change is presented. We propose a data-driven procedure based on evolutionary computation that avoids making any assumption about agents’ expectations. The research focuses on experts’ expectations about the state of the economy from the World Economic Survey in twenty eight countries of the Organisation for Economic Co-operation and Development. The proposed method is used to transform qualitative respon...
Citació
Claveria, O., Monte, E., Torra Porras, S. A new approach for the quantification of qualitative measures of economic expectations. "Quality and quantity", 24 Setembre 2016.
Paraules clau
Economic growth, Evolutionary algorithms, Expectations, Genetic programming JEL, 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

Arxius