Benchmarking econometric and machine learning methodologies in nowcasting GDP
Daniel Hopp
| Year of publication: |
2024
|
|---|---|
| Authors: | Hopp, Daniel |
| Subject: | ARIMA models | Bayesian methods | Econometric models | GDP | Machine learning | Macroeconomic forecasting | Neural networks | Vector autoregression models | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Neuronale Netze | VAR-Modell | VAR model | Bruttoinlandsprodukt | Gross domestic product | Benchmarking | Nationaleinkommen | National income | Ökonometrie | Econometrics | Ökonometrisches Modell | Econometric model | Wirtschaftsprognose | Economic forecast | ARMA-Modell | ARMA model | Schätztheorie | Estimation theory | Zeitreihenanalyse | Time series analysis |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s00181-023-02515-6 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014520141