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  • 标题:Density Forecasts Based on Disaggregate Data: Nowcasting Polish Inflation
  • 本地全文:下载
  • 作者:Błażej Mazur ; Błażej Mazur
  • 期刊名称:Dynamic Econometric Models
  • 印刷版ISSN:1234-3862
  • 电子版ISSN:2450-7067
  • 出版年度:2015
  • 卷号:15
  • 页码:71-87
  • DOI:10.12775/DEM.2015.004
  • 语种:English
  • 出版社:Nicolaus Copernicus University Press
  • 摘要:The paper investigates gains in performance of density forecasts from models using disaggregate data when forecasting aggregate series. The problem is considered within a restricted VAR framework with alternative sets of exclusion restrictions. Empirical analysis of Polish CPI m-o-m inflation rate (using its 14 sub-categories for disaggregate modelling) is presented. Exclusion restrictions are shown to improve density forecasting performance (as evaluated using log-score and CRPS criteria) relatively to aggregate and also disaggregate unrestricted models.
  • 关键词:prediction; model comparison; density forecasting; inflation; VAR models; shrinkage
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