Inflation Analysis: An Overview
AbstractThe purpose of this article is to describe how inflation analysis and forecasting has been carried out in the Bank, with particular emphasis on recent research and the new challenges facing the Bank following the launch of the euro on 1 January 1999. Broadly speaking the approach adopted by the Bank over a number of years has been an eclectic one which combines judgement and a range of formal approaches. The latter include structural models which are strongly influenced by basic macroeconomic theories of the small open economy (SOE), indicator analysis, including a composite leading indicator, and time series methods such as autoregressive integrated moving average (ARIMA), vector autoregressive (VAR) and Bayesian VAR (BVAR) models. The emphasis on particular methodologies has evolved over time but in all cases judgement has played a central role.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 11361.
Date of creation: Mar 1999
Date of revision:
Publication status: Published in Central Bank and Financial Services Authority of Ireland Technical Paper Series 1/RT/1999.1999(1999): pp. 1-22
inflation analysis and forecasting; judgement; small open economy; ARIMA; BVAR;
Other versions of this item:
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
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