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Forecast Error Bounds By Stochastic Simulation

Published online by Cambridge University Press:  26 March 2020

Andrew P. Blake
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Extract

What can the National Institute model tell us about the accuracy of forecasting inflation and growth? We make ‘point’ forecasts over the short to medium term, and assess the accuracy of those forecasts by examining past forecast errors (see Poulizac, Weale and Young, 1996). But the model itself can be used for the same purpose and can inform us better than historical exercises if a new policy regime has been adopted which is a major departure from past experience. In that case, the behaviour of the economy would be expected to be considerably different and so using a model which captures the structural effects of the changes may give a more accurate view of the likely behaviour of policy targets, policy instruments and other variables.

Type
Articles
Information
National Institute Economic Review , Volume 156 , May 1996 , pp. 72 - 79
Copyright
Copyright © 1996 National Institute of Economic and Social Research

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References

Barrell, R. and In't Veld, J. (1992), ‘Wealth effects and fiscal policy in the National Institute Global Econometric Model’, National Institute Economic Review, no. 140.Google Scholar
Blake, A.P. and Westaway, P. (1996), ‘Credibility and the Effectiveness of Inflation Targeting’, The Manchester School, forthcoming.10.1111/j.1467-9957.1996.tb01453.xCrossRefGoogle Scholar
Bowen, A. (1996), ‘Targeting inflation: the British experience’, Centre Piece, no. 1, pp. 10–14.Google Scholar
Bryant, R.C., Hooper, P. and Mann, C.L. (eds.) (1993), Evaluating Policy Regimes: New Research in Empirical Macroeconomics, Washington: Brookings.Google Scholar
Fair, R.C. (1993), ‘Estimating event probabilities from macroeconometric models using stochastic simulation’, in Stock, J.H. and Watson, M.W. (eds.) Business Cycles, Indicators, and Forecasting, NBER Studies in Business Cycles Volume 28, Chicago: University of Chicago Press.Google Scholar
Fisher, P.G. (1992), Rational Expectations in Macroeconomic Models, Dordrecht: Kluwer Academic Publishers.10.1007/978-94-015-8002-1CrossRefGoogle Scholar
Hall, S.G. and Henry, S.G.B. (1987), Macroeconomic Modelling, Amsterdam : North-Holland.Google Scholar
Ireland, J. and Westaway, P.F. (1990) ‘Stochastic simulation and forecast uncertainty in a forward-looking model’, National Institute Discussion Paper no. 183.Google Scholar
Poulizac, D., Weale, M. and Young, G. (1996), ‘The Performance of National Institute Economic Forecasts’, National Institute Economic Review, no. 156.Google Scholar
Taylor, J.B. (1993), ‘Discretion Versus Policy Rules in Practice’, Carnegie-Rochester Conference Series on Public Policy, no. 39, pp.195-214.10.1016/0167-2231(93)90009-LCrossRefGoogle Scholar
Weale, M., Blake, A., Christodoulakis, N., Meade, J. and Vines, D. (1989), Macroeconomic Policy: Inflation, Wealth and the Exchange Rate London: Unwin Hyman.Google Scholar