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ECONOMETRIC THEORY MEMORIAL TO ALBERT REX BERGSTROM–INTRODUCTION

Published online by Cambridge University Press:  01 August 2009

Marcus J. Chambers ,
Peter C.B. Phillips  and
A.M. Robert Taylor
Marcus J. Chambers
Affiliation:
University of Essex
Peter C.B. Phillips
Affiliation:
Yale University, University of Auckland, University of York, and Singapore Management University
A.M. Robert Taylor
Affiliation:
University of Nottingham
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Type
INTRODUCTION
Information
Econometric Theory , Volume 25 , Issue 4: Bergstrom Memorial Dedication Issue , August 2009 , pp. 891 - 900
Copyright
Copyright © Cambridge University Press 2009

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References

REFERENCES

Basmann, R.L. (1961) Note on the exact finite sample frequency functions of generalized classical linear estimators in two leading overidentified cases. Journal of the American Statistical Association 56, 619–636.CrossRefGoogle Scholar
Bergstrom, A.R. (1955) An econometric study of supply and demand for New Zealand's exports. Econometrica 23, 258–276.CrossRefGoogle Scholar
Bergstrom, A.R. (1962) The exact sampling distribution of least squares and maximum likelihood estimators of the marginal propensity to consume. Econometrica 30, 480–490.CrossRefGoogle Scholar
Bergstrom, A.R. (1966) Nonrecursive models as discrete approximations to systems of stochastic differential equations. Econometrica 34, 173–182.CrossRefGoogle Scholar
Bergstrom, A.R. (1967) The Construction and Use of Economic Models. English Universities Press.Google Scholar
Bergstrom, A.R. (1983) Gaussian estimation of structural parameters in higher-order continuous time dynamic models. Econometrica 51, 117–152.CrossRefGoogle Scholar
Bergstrom, A.R. (1984) Continuous time stochastic models and issues of aggregation over time. In Griliches, Z. and Intriligator, M.D. (eds.), Handbook of Econometrics, vol. 2, pp. 1145–1212. North Holland.CrossRefGoogle Scholar
Bergstrom, A.R. (1985a) The estimation of parameters in non-stationary higher order continuous time dynamic models. Econometric Theory 1, 369–386.CrossRefGoogle Scholar
Bergstrom, A.R. (1985b) The estimation of nonparametric functions in a Hilbert space. Econometric Theory 1, 7–26.CrossRefGoogle Scholar
Bergstrom, A.R. (1986) The estimation of open higher order continuous time dynamic models with mixed stock and flow data. Econometric Theory 2, 350–373.CrossRefGoogle Scholar
Bergstrom, A.R. (1987) Optimal control of wide-sense stationary continuous time stochastic models. Journal of Economic Dynamics and Control 11, 425–443.CrossRefGoogle Scholar
Bergstrom, A.R. (1989) Optimal forecasting of discrete stock and flow data generated by a higher order continuous time system. Computers and Mathematics with Applications 17, 1203–1214.CrossRefGoogle Scholar
Bergstrom, A.R. (1990) Continuous Time Econometric Modelling. Oxford University Press.Google Scholar
Bergstrom, A.R. (1997) Gaussian estimation of mixed-order continuous-time dynamic models with unobservable stochastic trends from mixed stock and flow data. Econometric Theory 13, 467–505.CrossRefGoogle Scholar
Bergstrom, A.R. & Chambers, M.J. (1990) Gaussian estimation of a continuous time model of demand for consumer durable goods with applications to demand in the United Kingdom, 1973–1984. In Bergstrom, A.R. (ed.), Continuous Time Econometric Modelling, pp. 279–319. Oxford University Press.Google Scholar
Bergstrom, A.R. & Nowman, K.B. (2007) A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends. Cambridge University Press.CrossRefGoogle Scholar
Bergstrom, A.R., Nowman, K.B. & Wymer, C.R. (1992) Gaussian estimation of a second order continuous time macroeconometric model of the United Kingdom. Economic Modelling 9, 313–351.CrossRefGoogle Scholar
Bergstrom, A.R. & Wymer, C.R. (1976) A model of disequilibrium neoclassical growth and its application to the United Kingdom. In Bergstrom, A.R. (ed.), Statistical Inference in Continuous Time Economic Models, pp. 267–327. North Holland.Google Scholar
Moreira, M.J. (2003) A conditional likelihood ratio test for structural models. Econometrica 71, 1027–1048.CrossRefGoogle Scholar
Nowman, K.B. (1998). Econometric estimation of a continuous time macroeconomic model of the United Kingdom with segmented trends. Computational Economics, 12, 243–254.CrossRefGoogle Scholar
Phillips, P.C.B. (1973) The problem of identification in finite parameter continuous time models. Journal of Econometrics 1, 351–362.CrossRefGoogle Scholar
Phillips, P.C.B. (1988) The ET interview: A.R. Bergstrom. Econometric Theory 4, 301–327.CrossRefGoogle Scholar
Phillips, P.C.B. (2005a) Albert Rex Bergstrom 1925–2005. New Zealand Economic Papers 39, 129–152.CrossRefGoogle Scholar
Phillips, P.C.B. (2005b) Albert Rex Bergstrom: Pioneer of Economic Modeling. New Zealand Herald, May 21.Google Scholar
Phillips, P.C.B. (2005c) Albert Rex Bergstrom: Pioneer of Continuous Time Economic Models. Asymmetric Information, July, 3–4.Google Scholar