Nowcasting Japan’s GDP
Dados Bibliográficos
| ID | 21542530 |
|---|---|
| Autores | Fumio Hayashi (0000-0003-4435-8111, National Graduate Institute for Policy Studies, autor correspondente), Yuta Tachi (0000-0002-5500-6413, Reitaku University) |
| Ano | 2023 |
| Volume | 64 |
| Fascículo | 4 |
| Páginas | 1699-1735 |
| Data de publicação | 2023-04-01 |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Empirical Economics (JOURNAL) |
| Identificadores do periódico | ISSN: 0377-7332 • E-ISSN: 1435-8921 |
| Editora | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s00181-022-02301-w |
| PMID | 36158993 |
| OpenAlex | W4297252931 |
| Idioma | EN |
| Citações recebidas | 1 |
| Referências citadas | 27 |
Benchmarking · Consensus forecast · Econometrics · Economics · Geography · Meteorology · Nowcasting · Complex Systems and Time Series Analysis · Monetary Policy and Economic Impact · Spatial and Panel Data Analysis · Geology
Time Series Analysis by State Space Methods
Forecasting, Structural Time Series Models and the Kalman Filter
Nowcasting
Determining the Number of Factors in Approximate Factor Models
Mixed-frequency approaches to nowcasting GDP
Short-Term GDP Forecasting With a Mixed-Frequency Dynamic Factor Model With Stochastic Volatility
Comparing Predictive Accuracy
| Citações por ano | 1 |
|---|---|
| Intervalo de citações | 2025 - 2025 (1) |
| Altamente citado | Não |