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  • 标题:Ex-post Inflation Forecast Uncertainty and Skew Normal Distribution: ‘Back from the Future’ Approach
  • 本地全文:下载
  • 作者:Wojciech Charemza ; Carlos Díaz ; Svetlana Makarova
  • 期刊名称:Discussion Papers / University of Leicester, Department of Economics
  • 出版年度:2015
  • 出版社:Leicester
  • 摘要:Empirical evaluation of macroeconomic uncertainty and its use for probabilistic forecasting are investigated. New indicators of forecast uncertainty, which either include or exclude effects of macroeconomic policy, are developed. These indicators are derived from the weighted skew normal distribution proposed in this paper, which parameters are interpretable in relation to monetary policy outcomes and actions. This distribution is fitted to forecast errors, obtained recursively, of annual inflation recorded monthly for 38 countries. Forecast uncertainty term structure is evaluated for U.K. and U.S. using new indicators and compared with earlier results. This paper has supplementary material.
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