Density Forecasts Based on Disaggregate Data: Nowcasting Polish Inflation

Journal Title: Dynamic Econometric Models - Year 2015, Vol 15, Issue

Abstract

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.

Authors and Affiliations

Błażej Mazur

Keywords

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  • EP ID EP197075
  • DOI 10.12775/DEM.2015.004
  • Views 73
  • Downloads 0

How To Cite

Błażej Mazur (2015). Density Forecasts Based on Disaggregate Data: Nowcasting Polish Inflation. Dynamic Econometric Models, 15(), 71-87. https://europub.co.uk/articles/-A-197075