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From Theory to Practice: The Choice of Estimator

  • D. W. Challen
  • A. J. Hagger
Chapter

Abstract

A reading of Chapters 4 and 5 might suggest that, in the context of KK systems, the problem of choosing an estimator would be reasonably straightforward. The asymptotic results presented in Chapter 4 imply a clear ranking of available estimators, the FISEs being superior, in terms of asymptotic properties, to the LISEs, and these in turn being superior to the SIEs. Furthermore, as we saw in section 5.3, this ranking is not upset when the finite-sample results generated by the available Monte Carlo studies are taken into account. It would seem, then, that in choosing an estimator the KK system-builder should consider only the FISEs or at most the FISEs and the LISEs.

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References and further reading

  1. Amemiya, T. (1966) ‘Specification Analysis in the Estimation of Parameters of a Simultaneous Equation Model with Autoregressive Residuals’, Econometrica, vol. 34, pp. 283–306.CrossRefGoogle Scholar
  2. Amemiya, T. (1974) ‘The Nonlinear Two-Stage Least-Squares Estimator’, Journal of Econometrics, vol. 2, pp. 105–10.CrossRefGoogle Scholar
  3. Amemiya, T. (1975) ‘The Nonlinear Limited-Information Maximum-Likelihood Estimator, and the Modified Nonlinear Two-Stage Least-Squares Estimator’, Journal of Econometrics, vol. 3, pp. 375–86.CrossRefGoogle Scholar
  4. Amemiya, T. (1977) ‘The Maximum Likelihood and the Nonlinear Three-Stage Least Squares Estimator in the General Nonlinear Simultaneous Equation Model’, Econometrica, vol. 45, pp. 955–68.CrossRefGoogle Scholar
  5. Bailey, R.E., Hall, V.E. and Phillips, P.C.B. (1979) ‘A Model of Output, Employment and Inflation in an Open Economy’, paper to the 49th ANZAAS Congress, Auckland.Google Scholar
  6. Belsley, D.A. (1979) ‘On the Computational Competitiveness of Full-Information Maximum-Likelihood and Three-Stage Least-Squares in the Estimation of Nonlinear, Simultaneous-Equations Models’, Journal of Econometrics, vol. 9, pp. 315–42.CrossRefGoogle Scholar
  7. Brown, B.W. (1981) ‘Sample Size Requirements in Full Information Maximum Likelihood Estimation’, International Economic Review, vol. 22, pp. 443–59.CrossRefGoogle Scholar
  8. Challen, D.W. and Hagger, A.J. (1979) Modelling the Australian Economy, Longman-Cheshire, Melbourne.Google Scholar
  9. Data Resources (1976) The Data Resources National Economic Information System, North-Holland, Amsterdam.Google Scholar
  10. Department Of The Treasury (1981) The NIF-10 Model of the Australian Economy, Australian Government Publishing Service, Canberra.Google Scholar
  11. Evans, M.K., Klein, L.R. and Schink, G.R. (1968) The Wharton Econometric Model, 2nd edn., Studies in Quantitative Economics No 2, University of Pennsylvania.Google Scholar
  12. Fair, R.C. (1970) ‘The Estimation of Simultaneous Equation Models with Lagged Endogenous Variables and First Order Correlated Errors’, Econometrica, vol. 38, pp. 507–16.CrossRefGoogle Scholar
  13. Fisher, F.M. (1965) ‘Dynamic Structure and Estimation in Economy-Wide Econometric Models’, in J. S. Duesenberry et al., The Brookings Quarterly Econometric Model of the United States, Rand McNally, Chicago.Google Scholar
  14. Giles, D.E.A. (1973) Essays on Econometric Topics: From Theory to Practice, Research Paper No. 10, Reserve Bank of New Zealand, Wellington.Google Scholar
  15. Giles, D.E.A. and Morgan, G.H.T. (1977) ‘Alternative Estimates of a Large New Zealand Econometric Model’, New Zealand Economic Papers, vol. 11, pp. 52–67.CrossRefGoogle Scholar
  16. Goldberger, A.S. (1968) Topics in Regression Analysis, Macmillan, New York.Google Scholar
  17. Goldfeld, S.M. and Quandt, R.E. (1972) Nonlinear Methods in Econometrics, North-Holland, Amsterdam.Google Scholar
  18. Hendry, D.F. (1974) ‘Stochastic Specification in an Aggregate Demand Model of the United Kingdom’, Econometrica, vol. 42, pp. 559–78.CrossRefGoogle Scholar
  19. Hendry, D.F. (1975) ‘The Consequences of Mis-Specification of Dynamic Structure, Autocorrelation, and Simultaneity, in a Simple Model with an Application to the Demand for Imports’, in G. A. Renton (ed.), Modelling the Economy, Heinemann, London.Google Scholar
  20. Hendry, D.F. (1976) ‘The Structure of Simultaneous Equations Estimators’, Journal of Econometrics, vol. 4, pp. 51–88.CrossRefGoogle Scholar
  21. Hendry, D.F. and Mizon, G.E. (1978) ‘Serial Correlation as a Convenient Simplification, Not a Nuisance: A Comment on a Study of the Demand for Money by the Bank of England’, Economic Journal, vol. 88, pp. 549–63.CrossRefGoogle Scholar
  22. Intriligator, M.D. (1978) Econometric Models, Techniques and Applications, Prentice-Hall, Englewood Cliffs, N.J.Google Scholar
  23. Johnston, J. (1972) Econometric Methods, 2nd edn., McGraw-Hill, New York.Google Scholar
  24. Jonson, P.D., Moses, E.R. and Wymer, C.R. (1977) ‘The RBA76 Model of the Australian Economy’, in W. E. Norton (ed.), Conference in Applied Economic Research, Reserve Bank of Australia, Sydney.Google Scholar
  25. Jorgenson, D. and Laffont, J. (1974) ‘Efficient Estimation of Non-Linear Simultaneous Equations with Additive Disturbances’, Annals of Economic and Social Measurement, vol. 3, pp. 615–40.Google Scholar
  26. Kelejian, H.H. (1971) ‘Two-Stage Least Squares and Econometric Systems Linear in Parameters but Non-linear in the Endogenous Variables’, Journal of the American Statistical Association, vol. 66, pp. 373–4.CrossRefGoogle Scholar
  27. Klein, L.R. (1973) ‘The Treatment of Undersized Samples in Econometrics’, in A. A. Powell and R. A. Williams (eds), Econometric Studies of Macro and Monetary Relations, North-Holland, Amsterdam.Google Scholar
  28. Kloeck, T. and Mennes, L.B.M. (1960) ‘Simultaneous Equations Based on Principal Components of Predetermined Variables’, Econometrica, vol. 28, pp. 45–61.CrossRefGoogle Scholar
  29. Kmenta, J. (1971) Elements of Econometrics, Macmillan, New York.Google Scholar
  30. Knight, M.D. and Wymer, C.R. (1976) ‘A Monetary Model of an Open Economy with Particular Reference to the United Kingdom’, in M. J. Artis and A. R. Nobay (eds), Essays in Economic Analysis, Cambridge University Press, Cambridge.Google Scholar
  31. Latter, A.R. (1979) Bank of England Model of the UK Economy, Bank of England Discussion Paper No. 5, London.Google Scholar
  32. Maddala, G.S. (1971) ‘Simultaneous Estimation Methods for Large- and Medium-Size Econometric Models’, Review of Economic Studies, vol. 38, pp. 435–45.CrossRefGoogle Scholar
  33. Mccarthy, M.D. (1971) ‘Notes on the Selection of Instruments for Two Stage Least Squares and k-Class Type Estimators of Large Models’, Southern Economic Journal, vol. 37, pp. 251–9.CrossRefGoogle Scholar
  34. Mccarthy, M.D. (1972) The Wharton Quarterly Econometric Forecasting Model Mark III, Studies in Quantitative Economics No. 6, University of Pennsylvania.Google Scholar
  35. Maxwell, T. (1978) ‘A Primer on RDX2’, Bank of Canada Review, January, pp. 3–10.Google Scholar
  36. Nehlawi, J.E. (1977) ‘Consistent Estimation of Real Econometric Models with Undersized Samples: A Study of the TRACE (Mk IIIR) Econometric Model of the Canadian Economy’, International Economic Review, vol. 18, pp. 163–79.CrossRefGoogle Scholar
  37. Salmon, M.H. and Eaton, J.R. (1975) ‘Estimation Problems in Large Econometric Models: An Application of Various Estimation Techniques to the London Business School Model’, in G. A. Renton (ed.), Modelling the Economy, Heinemann, London.Google Scholar
  38. Sargan, J.D. (1961) ‘The Maximum Likelihood Estimation of Economic Relationships with Autoregressive Residuals’, Econometrica, vol. 29, pp. 414–26.CrossRefGoogle Scholar
  39. Waelbroeck, J.L. (1976) The Models of Project LINK, North-Holland, Amsterdam.Google Scholar
  40. Wymer, C.R. (1978) ‘Continuous Time Models in Macroeconomics: Specification and Estimation’, in A. Swoboda, M. Mussa and C. R. Wymer (eds), Macroeconomic Policy and Adjustment in Open Economies, Proceedings of SSRC Conference, Ware, England.Google Scholar
  41. Yoshitomi, M., Kato, H., Sakuma, T., Masumoto, H. and Arai, K. (1980) Japan: Econometric Model for Short-Term Prediction, EPA World Econometric Model, Discussion Paper No. 1, Economic Research Institute, Economic Planning Agency, Tokyo.Google Scholar

Copyright information

© D.W. Challen and A.J. Hagger 1983

Authors and Affiliations

  • D. W. Challen
  • A. J. Hagger

There are no affiliations available

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