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文章基本信息

  • 标题:Forecasts for inflation and unemployment rate based on models using resample techniques
  • 本地全文:下载
  • 作者:Bratu (Simionescu) Mihaela
  • 期刊名称:International Journal of Economic Practices and Theories
  • 印刷版ISSN:2247-7225
  • 出版年度:2013
  • 卷号:3
  • 期号:2
  • 页码:103-107
  • 语种:English
  • 出版社:International Journal of Economic Practices and Theories
  • 摘要:This study presents a way of building new forecasts starting from those provided by two institutions from Romanian specialized in forecasting: Institute for Economic Forecasting (IEF) and National Commission of Prognosis (NCP). For inflation and unemployment rate four different regression models were proposed where the random element was determined using resampling techniques. Two of the regression models improved both institutions forecasts for the inflation and unemployment rate on the forecasting horizon 2010-2012, while the other two provided better predictions than NCP ones. So, the models based on resampled errors could be considered an empirical strategy of improving the accuracy of inflation and unemployment rate forecasts of the two Romanian institutions.
  • 关键词:accuracy, econometric models, forecasts, resampling techniques;C53, E170, E590
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