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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/a

Clavería González, Óscar

Monte Moreno, Enric

Torra Porras, Salvador

Fecha de publicación

2016-04-06T08:17:15Z

2017-10-01T22:01:26Z

2016-03

2016-04-06T08:17:21Z

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Resumen

Tendency surveys are the main source of agents' expectations. The main aim of this study is twofold. First, we propose a new method to quantify survey-based expectations by means of symbolic regression (SR) via genetic programming. Second, we combine the main SR-generated indicators to estimate the evolution of GDP, obtaining the best results for the Czech Republic and Hungary. Finally, we assess the impact of the 2008 financial crisis, finding an improvement in the capacity of agents' expectations in most Central and Eastern European economies to anticipate economic growth after the crisis.

Tipo de documento

Artículo

Versión aceptada

Lengua

Inglés

Materias y palabras clave

Algorismes; Algorismes genètics; Indicadors econòmics; Enquestes; Anàlisi de regressió; Algorithms; Genetic algorithms; Economic indicators; Surveys; Regression analysis

Publicado por

Taylor and Francis

Documentos relacionados

Versió postprint del document publicat a: http://dx.doi.org/10.1080/00128775.2015.1136564

Eastern European Economics, 2016, vol. 54, num. 2, p. 171-189

http://dx.doi.org/10.1080/00128775.2015.1136564

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Derechos

(c) Taylor and Francis, 2016

Este ítem aparece en la(s) siguiente(s) colección(ones)

Econometria, Estadística i Economia Aplicada [1099]

ISGlobal - Institut de Salut Global de Barcelona [61266]