Abstract
Many of the large econometric models in use around the world have introduced rational expectations(RE) as their main operating assumption over the last ten years, largely because of the issues raised by Lucas (1976). These include the Fair model, Minford’s Liverpool model, the quarterly models of the National Institute of Economic and Social Research, the London Business School and HM Treasury model in the UK, Multimod at the IMF, the Global Econometric Model (GEM) and a number of others. A considerable amount of effort has been spent in the academic literature on attempting to test the relevance of the RE assumption in the real world, we will not attempt to survey this literature here, a good introduction is the book by Pesaran (1987). This literature has not found overwhelming support for the RE assumption, but on the whole it has not fared too badly. We want however to make a clear distinction between these tests and the implementation of RE in an econometric model. Most of the standard tests of RE are attempting to test if agents use all available information in an efficient way. The model under study is usually not either complete or detailed and so forcing variables are often generated through unrestricted VARs or in some other, non-structural, way such as instrumental variable estimation. These tests may then be viewed as a test of a weak form of rational expectations. When the large econometric models make the RE assumption they are imposing a much stronger assumption, one which we feel is of a quite different nature. They are assuming that agents actually use that particular model to form their expectations. That is, to take an example, agents have full knowledge of the London Business School model; they believe it to be the true model of the economy and that they use it to form full model consistent expectations. Such an assumption has never been tested before it has been imposed on a model.
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References
Barrell R, Caporale G M, Gatratt A and Hall S G (1993), “Learning About Monetary Union: An Analysis of Boundedly Rational Learning In European Labor Markets”, in Hall, S G (ed) “Applied Economic Forecasting Techniques”. Simon and Schuster, New York.
Bray, M M (1983), “Convergence to Rational Expectations Equilibrium”, in Frydman, R and Phelps, E S (eds) “Industrial Forecasting and aggregate Outcomes”. Cambridge University Press, Cambridge.
Bray, M M and Kreps, C (1984), “Rational Learning and Rational Expectation”, mimeo Cambridge University.
Bray, M M and Savin, N E (1986), “Rational Expectations Equilibria, Learning and Model Specification” Econometrica, Vol. 54, pp. 1129–60.
Cuthbertson K, Hall, S G and Taylor, M P (1992), “Applied Econometric Techniques”, Michigan University Press.
Evans, G W (1983), “The Stability of Rational Expectations in Macroeconomic Models”, in Frydman, R and Phelps, E S (eds) “Individual Forecasting and Aggregate Outcomes” Cambridge University Press, Cambridge.
Evans G W (1985), “Expectational Stability and the Multiple Equilibria Problem in RE Models”, Quarterly Journal of Economics, Vol. 100, pp. 1217–1233.
Evans, G W (1986a), “Expectational Stability and the Multiple Equilibria Problem in Linear Rational Expectations Models”, Quarterly Journal Of Economics, Vol. 101, pp. 1217–1233.
Evans, G W (1986b), “Selection Criteria for Models with Non-Uniqueness”, Journal of Monetary Economics, Vol. 15, pp. 147–157.
Evans, G W and Honkapohja, S (1992), “Adaptive Learning and Expectational Stability: An Introduction”, in Kirman, A and Salmon, M (eds) Learning and Rationality in Economics, Basil Blackwell, Oxford.
Hall, S G and Garrett, A (1992a), “Model Consistent Learning: The Sterling Deutschmark Rate in the London Business School Model”, LBS-CEF Discussion Paper No. 92–02.
Hall, S G and Garrett, A (1992b), “Expectations and Learning in Economic Models”, Economic Outlook Vol. 16, pp. 52–53.
Hoderick,R J (1987) “The Empirical Evidence on the Efficiency of Forward and Future Exchange Markets”, Harwood Academic Publishers,London.
Lucas, R E Jr. (1975), “An Equilibrium Model of the Business Cycle”, Journal of Political Economy, Vol. 83, pp. 1113–1144.
Marcet, A and Sargent, T J (1988), “The fate of Systems with Adaptive Expectations”, American Economic Review,pp. 168–171
Marcet, A and Sargent, T J (1989a), “Convergence of Least-Squares Learning in Environment with Hidden State Variables and Private Information”, Journal of Political Economy, Vol. 97, pp. 1306–1322.
Marcet, A and Sargent, T J (1989b), “Least Squares Learning and the Dynamics of Hyper inflation”, in W A Bamett, J Geweke and K Shell (eds) “Economic Complexity, Chaos, Sunspots Bubbles and Nonlinearity” Cambridge University Press, Cambridge.
Masson, P R, Symansky, S, Meredith, M (1990) “Multimod: A Multi Region Econometric Model”, Working Paper No. 88/23, IMF, Washington DC.
Pesaran, M H (1987), “The Limits of Rational Expectations”, Basil Blackwell, Oxford.
Townsend, R M (1978), “Market Anticipation, Rational Expectation and Bayesian Analysis”, International Economic Review, Vol. 19, pp. 481–94.
Townsend, R M (1983), “Forecasting the Forecast of Others”, Journal of Political Economy, Vol. 91, pp. 546–88.
Wickens, M R (1982), “The Efficient Estimation of Econometric Models with Rational Expectations”, Review of Economic Studies, Vol. 49, 55–67.
Woodford, M (1990), “Learning to Believe in Sunspots”, Econometrica, Vol. 58, pp. 277–308.
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Hall, S., Symansky, S. (1999). Modifying the Rational Expectations Assumption in a Large World Model. In: Hallett, A.H., McAdam, P. (eds) Analyses in Macroeconomic Modelling. Advances in Computational Economics, vol 12. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5219-2_4
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DOI: https://doi.org/10.1007/978-1-4615-5219-2_4
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