Work

Quantification of Survey Expectations by Means of Symbolic Regression via Genetic Programming to Estimate Economic Growth in Central and Eastern European Economies

Year: 2016

Type: article

Abstract: 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 economic growth in most Central and Eastern European economies improved after the crisis.

Source: Eastern European Economics

DOI: 10.1080/00128775.2015.1136564

Authors: Oscar Claveria, Enric Monte, Salvador Torra

Institutions: Universitat de Barcelona, Universitat Politècnica de Catalunya

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W2330054572

FWCI: 4.365

Cites: 137

Cited by: 25

Related to: 10