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Using Real-Time Output Gaps to Examine Past and Future Policy Choices

Published online by Cambridge University Press:  26 March 2020

Christopher Adam  and
David Cobham
Christopher Adam
Affiliation:
University of Oxford
David Cobham*
Affiliation:
Heriot-Watt University
*
E-mail: d.cobham@hw.ac.uk
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Abstract

Alternative measures of the UK output gap are considered for 1984–2007. The real-time series is strongly affected by the rolling-time estimation of the trend, and produces a picture of the business cycle which is not consistent with contemporary perceptions of the large fluctuations of the late 1980s and early 1990s. A new, ‘nearly-real’, measure developed here may be better for estimating historical reaction functions. In the context of the current recession, none of these mechanically derived measures of the output gap are useful. Policymakers should make careful estimates of the likely fall in potential output on the basis of other information.

Keywords

Output gapreal-timequasi-realnearly realTaylor ruleE52E58

Information

Type
Articles
Information
National Institute Economic Review , Volume 210 , October 2009 , pp. 98 - 110
Copyright
Copyright © 2009 National Institute of Economic and Social Research

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Footnotes

∗

We are grateful to Chris Allsopp, Peter Andrews and Kalin Nikolov for helpful comments on a much earlier draft.

References

Adam, C. and Cobham, D. (2004), ‘Real-time output gaps in the estimation of Taylor Rules: a red herring?’ [earlier version of this paper], available at http://www.economics.ox.ac.uk/Research/wp/pdf/paper218.pdf.Google Scholar
Adam, C., Cobham, D. and Girardin, E. (2005), ‘Monetary frameworks and institutional constraints: UK monetary policy reaction functions, 1985-2003’, Oxford Bulletin of Economics and Statistics, 67, pp. 497–516.10.1111/j.1468-0084.2005.00129.xCrossRefGoogle Scholar
Bank of England (1990), ‘Monetary policy in the second half of the 1980s’, Bank of England Quarterly Bulletin, 30, pp. 215–20.Google Scholar
Bean, C. (2005), ‘Monetary policy in an uncertain world’, Bank of England Quarterly Bulletin, 45, pp. 80–91.Google Scholar
Bell, M. (2004), ‘Monetary policy, data uncertainty and the supplyside: living with the statistical fog’, Bank of England Quarterly Bulletin, 44, pp. 510–21.Google Scholar
Bernhardsen, T., Eitrheim, O., Jore, A. and R⊘island, O. (2005), ‘Real-time data for Norway: challenges for monetary policy’, North American Journal of Economics and Finance, 16, pp. 333- 49CrossRefGoogle Scholar
Bernoth, K., Hughes Hallett, A. and Lewis, J. (2008), ‘Did fiscal policy makers know what they were doing? Assessing fiscal policy with real time data’, CEPR Discussion Paper no. 6758Google Scholar
Bry, G. and Boschan, C. (1971), Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, New York, National Bureau of Economic ResearchGoogle Scholar
Castle, J. and Ellis, C. (2002), ‘Building a real-time database for GDP(E)’, Bank of England Quarterly Bulletin, 42, pp. 42–9.Google Scholar
Castle, J.L., Fawcett, N.W.P. and Hendry, D.F. (2009), ‘Nowcasting is not just contemporaneous forecasting’, National Institute Economic Review, 210, October.CrossRefGoogle Scholar
Cimadomo, J. (2007), ‘Fiscal policy in real time’, CEPII working paper no. 2007-10.Google Scholar
Clarida, R., Galí, J. and Gertler, M. (1998), ‘Monetary rules in practice: some international evidence’, European Economic Review, 42, pp. 1033–67.CrossRefGoogle Scholar
-(2000), ‘Monetary policy rules and macroeconomic stability: evidence and some theory’, Quarterly Journal of Economics, 115, pp. 147–80.Google Scholar
Clausen, J. and Meier, C.-P. (2005), ‘Did the Bundesbank follow a Taylor rule? An analysis based on real-time data’,. Swiss Journal of Economics and Statistics, 127, pp. 213–46.Google Scholar
Cobham, D. (1997), ‘The Lawson boom: excessive depreciation versus financial liberalisation’, Financial History Review, 4, pp. 69–90.CrossRefGoogle Scholar
-(2002), The Making of Monetary Policy in the UK, 1975-2000, Chichester, Wiley.Google Scholar
-(2003), ‘Why does the Monetary Policy Committee smooth interest rates?’, Oxford Economic Papers, 55, pp. 467–93. Congressional Budget Office (1995), ‘CBO's method for estimating potential output’, Memorandum, CBO.Google Scholar
-(2004), ‘A summary of alternative methods for estimating potential GDP’, Memorandum, CBO.Google Scholar
Darby, J. and Mélitz, J. (2008), ‘Social spending and automatic stabilisers in the OECD’, Economic Policy, 23, pp. 715–56.CrossRefGoogle Scholar
Denis, C., McMorrow, K. and Röger, W. (2002), ‘Production function approach to calculating potential growth and output gaps - estimates for the EU member states and the US’, Economic Paper no. 176, European Commission.Google Scholar
Denis, C., Grenouilleau, D., McMorrow, K. and Röger, W. (2006), ‘Calculating potential growth rates - a revised production function approach’, Economic Paper no. 247, European Commission.Google Scholar
De Paoli, B., Hoggarth, G. and Saporta, V. (2009), ‘Output costs of sovereign debt crises: some empirical estimates’, Bank of England working paper no. 362.Google Scholar
Diron, M. (2008), ‘Short-term forecasts of Euro area real GDP growth: an assessment of real-time performance based on vintage data’, Journal of Forecasting, 27(5), pp. 371–90.CrossRefGoogle Scholar
Eggington, D., Pick, A. and Vahey, S. (2002), ‘Keep it real! A real-time UK macro data set’, Economics Letters, 77, pp. 15–20.CrossRefGoogle Scholar
Fisher, P. (2009), ‘The road to recovery and the inflation target’, speech on 12 June, at http://www.bankofengland.co.uk/publications/speeches/2009/speech393.pdf.Google Scholar
Forni, L. and Momigliano, S. (2004), ‘Cyclical sensitivity of fiscal policies based on real-time data’, Banca d'Italia Discussion Paper no. 540.Google Scholar
Garratt, A., Koop, G. and Vahey, S. (2008), ‘Forecasting substantial data revisions in the presence of model uncertainty’, Economic Journal, 118, pp. 1128–44.CrossRefGoogle Scholar
Gerdesmeier, D. and Roffia, B. (2005), ‘The relevance of real-time data in estimating reaction functions for the euro area’, North American Journal of Economics and Finance, 16, pp. 293- 307.CrossRefGoogle Scholar
Giannone, D., Reichlin, D. and Small, D. (2008), ‘Nowcasting GDP and inflation: the real-time informational content of macroeconomic data releases’, Journal of Monetary Economics, 55, pp. 665–76.CrossRefGoogle Scholar
Giorno, C., Richardson, P., Roseveare, D. and van den Noord, P. (1995), ‘Potential output, output gaps and structural budget balances’, OECD Economic Studies, no. 24.Google Scholar
Harvey, A.C. and Jaeger, A. (1993), ‘Detrending, stylised facts and the business cycle’, Journal of Applied Econometrics, 8, pp. 231- 48.10.1002/jae.3950080302CrossRefGoogle Scholar
Hayo, B. and Hofmann, B. (2006), ‘Comparing monetary policy reaction functions: ECB versus Bundesbank’, Empirical Economics, 31, pp. 645–62.CrossRefGoogle Scholar
Lambert, R. (2005), ‘Monetary policy-making: fact and fiction’, Bank of England Quarterly Bulletin, 45, pp. 388–95.Google Scholar
Laubach, T. and Williams, J.C. (2003), ‘Measuring the natural rate of interest’, Review of Economics and Statistics, 85, pp. 1063–70.10.1162/003465303772815934CrossRefGoogle Scholar
Lawson, N. (1992), The View from No. 11, London, Bantam Press.Google Scholar
Lomax, R. (2004), ‘Stability and statistics’, Bank of England Quarterly Bulletin, 44, pp. 495–501.Google Scholar
Mitchell, J.(2009), ‘Where are we now? The UK recession and nowcasting GDP growth using statistical models’, National Institute Economic Review, 209, pp. 60–9.Google Scholar
Nelson, E. (2000), ‘UK monetary policy 1972-97: a guide using Taylor rules’, Bank of England Working Paper no. 120.Google Scholar
Nelson, E. and Nikolov, K. (2003), ‘UK inflation in the 1970s and 1980s: the role of output gap mismeasurement’, Journal of Economics and Business, 55, pp. 353–70.CrossRefGoogle Scholar
Nickell, S. (2003), ‘Two current monetary policy issues’, Bank of England Quarterly Bulletin, 43, pp. 504–17.Google Scholar
Orphanides, A. (2003), ‘The quest for prosperity without inflation’, Journal of Monetary Economics, 50, pp. 633–63.10.1016/S0304-3932(03)00028-XCrossRefGoogle Scholar
Orphanides, A. and van Norden, S. (2002), ‘The unreliability of output-gap estimates in real time’, Review of Economics and Statistics, 84, pp. 569–83.CrossRefGoogle Scholar
-(2005), ‘The reliability of inflation forecasts based on output gap estimates in real time’, Journal of Money, Credit and Banking, 37, pp. 583–601.CrossRefGoogle Scholar
Planas, C. and Rossi, A. (2004), ‘Can inflation data improve the real-time reliability of output-gap estimates?’, Journal of Applied Econometrics, 19, pp. 121–33.CrossRefGoogle Scholar
Rudebusch, G. (2005), ‘Monetary policy inertia: fact or fiction?’, Federal Reserve Bank of San Francisco, working paper 2005-19.CrossRefGoogle Scholar
Rünstler, G. (2002), ‘The information content of real-time output gap estimates: an application to the Euro area’, ECB Working Paper, 182.Google Scholar