Artificial neural network regression models in a panel setting : predicting economic growth
Year of publication: |
2020
|
---|---|
Authors: | Jahn, Malte |
Published in: |
Economic modelling. - Amsterdam [u.a.] : Elsevier, ISSN 0264-9993, ZDB-ID 86824-3. - Vol. 91.2020, p. 148-154
|
Subject: | Forecasting | Neural networks | Panel data | Neuronale Netze | Prognoseverfahren | Forecasting model | Panel | Panel study | Theorie | Theory | Wirtschaftswachstum | Economic growth | Regressionsanalyse | Regression analysis |
-
Artificial neural network regression models : predicting GDP growth
Jahn, Malte, (2018)
-
Intelligent forecasting of economic growth for developing economies
Chuku, Chuku Agbai, (2019)
-
Prediction in an unbalanced nested error components panel data model
Baltagi, Badi H., (2013)
- More ...
-
Jahn, Malte, (2014)
-
A location quotient-based interregional input-output (IRIOLQ) framework
Jahn, Malte, (2015)
-
Action plan: Low carbon regional ports
Froese, Jens, (2019)
- More ...