Quantification of survey expectations by means of symbolic regression via genetic programming to estimate economic growth in Central and Eastern European economies
Year of publication: |
March-April 2016
|
---|---|
Authors: | Claveria, Oscar ; Monte, Enric ; Torra, Salvador |
Published in: |
Eastern European economics. - Philadelphia, Pa. : Routledge, Taylor & Francis Group, ISSN 0012-8775, ZDB-ID 40935-2. - Vol. 54.2016, 2, p. 171-189
|
Subject: | Economic Climate Indicators | evolutionary algorithms | forecasting | genetic programming | symbolic regression | survey-based expectations | tendency surveys | Evolutionärer Algorithmus | Evolutionary algorithm | Regressionsanalyse | Regression analysis | Prognoseverfahren | Forecasting model | Mathematische Optimierung | Mathematical programming | Theorie | Theory | Wirtschaftswachstum | Economic growth | Frühindikator | Leading indicator | Erwartungsbildung | Expectation formation |
-
Using survey data to forecast real activity with evolutionary algorithms : a cross-country analysis
Claveria, Oscar, (2017)
-
Assessment of the effect of the financial crisis on agents' expectations through symbolic regression
Claveria, Oscar, (2017)
-
Evolutionary computation for macroeconomic forecasting
Claveria, Oscar, (2019)
- More ...
-
A new forecasting approach for the hospitality industry
Claveria, Oscar, (2015)
-
“Multiple-input multiple-output vs. single-input single-output neural network forecasting”
Claveria, Oscar, (2015)
-
Claveria, Oscar, (2015)
- More ...