Introduction (notice n° 1818651)
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|---|---|
| fixed length control field | 01376cam a2200157 4500500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260329002818.0 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | fre |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | dc |
| 100 10 - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bureau, Dominique |
| Relator term | author |
| 245 00 - TITLE STATEMENT | |
| Title | Introduction |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | 2005.<br/> |
| 500 ## - GENERAL NOTE | |
| General note | 9 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This research paper explores the role of unemployment in improving gross domestic product (GDP) growth forecasting reliability by using vector autoregressive (VAR) models, with a particular focus on mixed frequency Bayesian VAR (MF-BVAR) models. It also examines how key economic variables, which are largely employed by central banks, are included, such as GDP, money supply (M1), inflation, short-term interest rates, and unemployment. By incorporating unemployment data, the study aims to improve the accuracy of GDP forecasts. The findings highlight the significant impact of unemployment on economic indicators and the overall accuracy of the forecasting models. This research contributes to economic forecasting literature by demonstrating the value of considering labor market dynamics in predictive models and offers valuable insights for policymakers and economists. JEL classification: C53, E24, E58. |
| 786 0# - DATA SOURCE ENTRY | |
| Note | Economie & prévision | o 167 | 1 | 2005-03-01 | p. 1-2 | 0249-4744 |
| 856 41 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://shs.cairn.info/journal-economie-et-prevision-1-2005-1-page-1?lang=en&redirect-ssocas=7080">https://shs.cairn.info/journal-economie-et-prevision-1-2005-1-page-1?lang=en&redirect-ssocas=7080</a> |
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