Estimating nonlinear heterogeneous agents models with neural networks
Hanno Kase, Leonardo Melosi and Matthias Rottner
| Year of publication: |
15 June 2022
|
|---|---|
| Authors: | Kase, Hanno ; Melosi, Leonardo ; Rottner, Matthias |
| Publisher: |
London : Centre for Economic Policy Research |
| Subject: | Machine Learning | neural networks | Bayesian estimation | Global solution | Heterogeneous Agents | Nonlinearities | Aggregate uncertainty | HANK model | zero lower bound | Neuronale Netze | Neural networks | Theorie | Theory | Künstliche Intelligenz | Artificial intelligence | Schätzung | Estimation | Bayes-Statistik | Bayesian inference | Nichtlineare Regression | Nonlinear regression | Agentenbasierte Modellierung | Agent-based modeling | Neoklassische Synthese | Neoclassical synthesis | Prognoseverfahren | Forecasting model | Niedrigzinspolitik | Low-interest-rate policy |
| Extent: | 1 Online-Ressource (circa 57 Seiten) Illustrationen |
|---|---|
| Series: | Discussion papers / CEPR. - London : CEPR, ISSN 2045-6573, ZDB-ID 2001019-9. - Vol. DP17391 |
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013263361