Comparing out-of-sample performance of machine learning methods to forecast U.S. GDP growth
Ba Chu, Shafiullah Qureshi
| Year of publication: |
2023
|
|---|---|
| Authors: | Chu, Ba ; Qureshi, Shafiullah |
| Subject: | Artificial neural networks | Boosting algorithms | Dimensionality reduction methods | GDP growth | Lasso | MIDAS | Random forest | Ridge regression | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Wirtschaftswachstum | Economic growth | Nationaleinkommen | National income | USA | United States | Regressionsanalyse | Regression analysis | Algorithmus | Algorithm | Prognose | Forecast |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10614-022-10312-z [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014437505