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Utility Functions For Central Bankers: The Not So Drastic Quadratic

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  • Jagjit Chadha
  • Philip Schellekens

Abstract

Following Blinders (1997) suggestion, we examine the implications for the optimal interest rate rule which follows from relaxing the assumption that the policymakers loss function is quadratic. We investigate deviations from quadratics for both symmetric and asymmetric preferences for a single target and find that (i) other characterizations of risk aversion than implied by the quadratic only affect dead-weight losses, unless there is multiplicative uncertainty; (ii) asymmetries affect the optimal rule under both additive and multiplicative uncertainty but result in interest rate paths observationally similar, and in some cases equivalent to those implied by a shifted quadratic; (iii) the use of asymmetric loss functions leads to important insights on the issue of goal independence and monetary policy delegation: (iv) non-quadratic preferences per se, are neither sufficient nor necessary to generate the Brainard conservatism principle and thus do not offer much added value when analyzing policy issues of caution and gradualism. Our results suggest that in the context of monetary policymaking the convenient assumption of quadratic losses may not be that drastic after all.

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Bibliographic Info

Paper provided by Financial Markets Group in its series FMG Discussion Papers with number dp308.

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Date of creation: Nov 1998
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Handle: RePEc:fmg:fmgdps:dp308

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Web page: http://www.lse.ac.uk/fmg/

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  1. Doornik, Jurgen A & Hendry, David F & Nielsen, Bent, 1998. " Inference in Cointegrating Models: UK M1 Revisited," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 533-72, December.
  2. Preston J. Miller, 1978. "Forecasting with econometric methods: a comment," Working Papers 104, Federal Reserve Bank of Minneapolis.
  3. Miller, Preston J, 1978. "Forecasting with Econometric Methods: A Comment," The Journal of Business, University of Chicago Press, vol. 51(4), pages 579-84, October.
  4. David F. Hendry & Michael P. Clements, 1994. "Can Econometrics Improve Economic Forecasting?," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 130(III), pages 267-298, September.
  5. Grayham E. Mizon & David F. Hendry, 1998. "Exogeneity, causality, and co-breaking in economic policy analysis of a small econometric model of money in the UK," Empirical Economics, Springer, vol. 23(3), pages 267-294.
  6. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
  7. Diebold, Francis X., 1989. "Forecast combination and encompassing: Reconciling two divergent literatures," International Journal of Forecasting, Elsevier, vol. 5(4), pages 589-592.
  8. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  9. Coulson, N.E. & Robins, R.P., 1989. "Forecast Combination In A Dynamic Setting," Papers 8-88-4, Pennsylvania State - Department of Economics.
  10. Clive W. J. Granger & Melinda Deutsch, 1991. "Comments on the evaluation of policy models," International Finance Discussion Papers 413, Board of Governors of the Federal Reserve System (U.S.).
  11. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501, September.
  12. Godfrey, Leslie G, 1978. "Testing for Higher Order Serial Correlation in Regression Equations When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1303-10, November.
  13. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-92, December.
  14. Andrew C Harvey & Andrew Scott, 1994. "Seasonality in Dynamic Regression Models," CEP Discussion Papers dp0184, Centre for Economic Performance, LSE.
  15. Engle, R. & Hendry, D., 1990. "Testing Super Exogeneity And Invariance In Regression Models," Economics Series Working Papers 99100, University of Oxford, Department of Economics.
  16. Hendry, David F & Doornik, Jurgen A, 1997. "The Implications for Econometric Modelling of Forecast Failure," Scottish Journal of Political Economy, Scottish Economic Society, vol. 44(4), pages 437-61, September.
  17. Carruth, Alan & Henley, Andrew, 1990. "Can Existing Consumption Functions Forecast Consumer Spending in the Late 1980's?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 211-22, May.
  18. Birchenhall, C R, et al, 1989. "A Seasonal Model of Consumption," Economic Journal, Royal Economic Society, vol. 99(397), pages 837-43, September.
  19. Clements, Michael P. & Hendry, David F., 1997. "An empirical study of seasonal unit roots in forecasting," International Journal of Forecasting, Elsevier, vol. 13(3), pages 341-355, September.
  20. Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107, September.
  21. Muellbauer, John, 1994. "The Assessment: Consumer Expenditure," Oxford Review of Economic Policy, Oxford University Press, vol. 10(2), pages 1-41, Summer.
  22. Hansen, Bruce E., 1992. "Testing for parameter instability in linear models," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 517-533, August.
  23. Favero, C. & Hendry, D., 1990. "Testing The Lucas Critique: A Review," Economics Series Working Papers 99101, University of Oxford, Department of Economics.
  24. Neil R. Ericsson & John S. Irons, 1995. "The Lucas critique in practice: theory without measurement," International Finance Discussion Papers 506, Board of Governors of the Federal Reserve System (U.S.).
  25. Hendry, David F, 1994. "HUS Revisited," Oxford Review of Economic Policy, Oxford University Press, vol. 10(2), pages 86-106, Summer.
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Cited by:
  1. Graham Elliott & Ivana Komunjer & Allan Timmermann, 2008. "Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?," Journal of the European Economic Association, MIT Press, vol. 6(1), pages 122-157, 03.

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