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Quantification of survey expectations by means of symbolic regression via genetic programming to estimate economic growth in central and eastern european economies

Autor
Claveria, O.; Monte, E.; Torra Porras, Salvador
Tipus d'activitat
Article en revista
Revista
Eastern european economics
Data de publicació
2016-03-21
Volum
54
Número
2
Pàgina inicial
171
Pàgina final
189
DOI
https://doi.org/10.1080/00128775.2015.1136564 Obrir en finestra nova
Projecte finançador
Investigación avanzada en tecnologías del habla para aplicación a entornos audiovisuales (SpeechTech4All)
TEC2012-38939-C03-02 - Investigación avanzada en tecnologías del habla para aplicación a entornos audiovisuales (SpeechTech4All)
Repositori
http://hdl.handle.net/2117/90011 Obrir en finestra nova
URL
http://www.tandfonline.com/doi/abs/10.1080/00128775.2015.1136564 Obrir en finestra nova
Resum
Tendency surveys are the main source of agents' expectations. This study has a twofold aim. First, it proposes a new method to quantify survey-based expectations by means of symbolic regression (SR) via genetic programming. Second, it combines the main SR-generated indicators to estimate the evolution of GDP, obtaining the best results for the Czech Republic and Hungary. Finally, it assesses the impact of the 2008 financial crisis, finding that the capacity of agents' expectations to anticipate ...
Citació
Claveria, O., Monte, E., Torra Porras, S. Quantification of survey expectations by means of symbolic regression via genetic programming to estimate economic growth in central and eastern european economies. "Eastern european economics", 21 Març 2016, vol. 54, núm. 2, p. 171-189.
Paraules clau
Business survey data, Carlson-parkin method, Consumer surveys, Economic climate indicators, Evolutionary algorithms, Financial crisis, Forecasting, Genetic programming, Inflation-expectations, Level survey data, Macroeconomic forecasts, Price expectations, Qualitative survey data, Quantifying survey expectations, Survey-based expectations, 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

Participants

Arxius