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A data-driven approach to construct survey-based indicators by means of evolutionary algorithms

Autor
Claveria, O.; Monte, E.; Torra Porras, Salvador
Tipus d'activitat
Article en revista
Revista
Social indicators research
Data de publicació
2018-01-09
DOI
https://doi.org/10.1007/s11205-016-1490-3 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/113012 Obrir en finestra nova
URL
https://link.springer.com/article/10.1007/s11205-016-1490-3 Obrir en finestra nova
Resum
In this paper we propose a data-driven approach for the construction of survey-based indicators using large data sets. We make use of agents’ expectations about a wide range of economic variables contained in the World Economic Survey, which is a tendency survey conducted by the Ifo Institute for Economic Research. By means of genetic programming we estimate a symbolic regression that links survey-based expectations to a quantitative variable used as a yardstick, deriving mathematical function...
Citació
Claveria, O., Monte, E., Torra Porras, S. A data-driven approach to construct survey-based indicators by means of evolutionary algorithms. "Social indicators research", 9 Gener 2018.
Paraules clau
Economic indicators, Evolutionary algorithms, Genetic programming, Survey-based indicators, Symbolic regression, Tendency surveys
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

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