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Forecasting Euro Area Inflation Using Single-Equation and Multivariate VAR–Models

Author

Listed:
  • Gerdesmeier Dieter

    () (European Central Bank, Sonnemannstraße 20, 60314 Frankfurt am Main, Germany; Frankfurt School of Finance and Management, Adickesallee 32-34, 60322 Frankfurt am Main, Germany)

  • Roffia Barbara

    () (European Central Bank, Sonnemannstraße 20, 60314 Frankfurt am Main, Germany)

  • Reimers Hans-Eggert

    () (Hochschule Wismar, Wismar Business School, Postfach 1210, 23952Wismar, Germany)

Abstract

Forecasting inflation is of key relevance for central banks, not least because the objective of low and stable inflation is embodied in most central banks’ mandates and the monetary policy transmission mechanism is well known to be subject to long and variable lags. To our best knowledge, central banks around the world use conditional as well as unconditional forecasts for such purposes. Turning to unconditional forecasts, these can be derived on the basis of structural and non-structural models. Among the latter, vector autoregressive (VAR)-models are among the most popular tools.

Suggested Citation

  • Gerdesmeier Dieter & Roffia Barbara & Reimers Hans-Eggert, 2017. "Forecasting Euro Area Inflation Using Single-Equation and Multivariate VAR–Models," Folia Oeconomica Stetinensia, Sciendo, vol. 17(2), pages 19-34, December.
  • Handle: RePEc:vrs:foeste:v:17:y:2017:i:2:p:19-34:n:2
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    More about this item

    Keywords

    inflation forecasts; euro area; Bayesian VAR;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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