The Real-time Forecasting Performance of Phillips Curves
AbstractAnalysts typically use a variety of techniques to forecast inflation. These include both ‘bottom-up’ approaches, for near-term forecasting, as well as econometric methods (such as mark-up models of inflation, which have been found to perform quite well for Australia – see de Brouwer and Ericsson (1998)). One of the econometric approaches to inflation forecasting which is sometimes considered is the use of Phillips curves based on estimates of the output gap. This paper suggests, however, that the real-time capacity of such Phillips curves to forecast inflation is limited, relative even to such simple benchmark forecasting approaches as an autoregressive (AR) model of inflation or a random walk assumption. It appears that the lack of precision with which output-gap-based Phillips curves can be estimated in real time limits their usefulness as a means of forecasting inflation in isolation. Phillips curve-based forecasts may, however, perform a little better than AR model-based ones in at least predicting whether inflation will increase or decrease from its current level. Moreover, combining Phillips curve-based forecasts with those from simple, alternative approaches does seem to offer some scope for improving the real-time forecast accuracy of the latter. These observations suggest that, in spite of their generally disappointing performance as a means of forecasting inflation in isolation, output-gap-based Phillips curves may continue to be useful in real time – as a tool for conditioning gap estimates within a multivariate filtering framework, and as a possible complement to other, alternative inflation forecasting approaches.
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Bibliographic InfoPaper provided by Reserve Bank of Australia in its series RBA Research Discussion Papers with number rdp2003-12.
Date of creation: Dec 2003
Date of revision:
Find related papers by JEL classification:
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
- E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
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- Troy Matheson, 2006.
"Phillips curve forecasting in a small open economy,"
Reserve Bank of New Zealand Discussion Paper Series
DP2006/01, Reserve Bank of New Zealand.
- Matheson, Troy D., 2008. "Phillips curve forecasting in a small open economy," Economics Letters, Elsevier, vol. 98(2), pages 161-166, February.
- Paloviita , Maritta & Mayes , David, 2004.
"The use of real time information in Phillips curve relationships for the euro area,"
Research Discussion Papers
16/2004, Bank of Finland.
- Paloviita, Maritta & Mayes, David, 2005. "The use of real-time information in Phillips-curve relationships for the euro area," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 415-434, December.
- Paloviita, Maritta & Mayes, David, 2004. "The use of real-time information in Phillips curve relationships for the euro area," Discussion Paper Series 1: Economic Studies 2004,28, Deutsche Bundesbank, Research Centre.
- Kitov, Ivan & Kitov, Oleg, 2011.
"The Australian Phillips curve and more,"
28762, University Library of Munich, Germany.
- Arnulfo Rodríguez & Pedro N. Rodríguez, 2007. "Recursive Thick Modeling and the Choice of Monetary Policy in Mexico," Working Papers 2007-04, Banco de México.
- Isabell Koske & Nigel Pain, 2008. "The Usefulness of Output Gaps for Policy Analysis," OECD Economics Department Working Papers 621, OECD Publishing.
- Andreas Billmeier, 2009. "Ghostbusting: which output gap really matters?," International Economics and Economic Policy, Springer, vol. 6(4), pages 391-419, December.
- L Christopher Plantier & Ozer Karagedikli, 2005. "Do so-called multivariate filters have better revision properties? An empirical analysis," Computing in Economics and Finance 2005 250, Society for Computational Economics.
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