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LAUDATIO ON THE OCCASION OF THE INVESTITURE OF PROFESSOR JOHN DENIS SARGAN WITH THE DEGREE OF DOCTOR HONORIS CAUSA OF THE UNIVERSIDAD CARLOS III, 2 February 1993

Published online by Cambridge University Press:  20 March 2003

Antoni Espasa
Antoni Espasa
Affiliation:
Universidad Carlos III
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Extract

It is a challenging task to review the research carried out by Professor Sargan which has covered such a broad range of areas and which offers general and unifying approaches to tackling problems and to obtaining results.I can only apologize for my audacity in accepting to deliver this laudatio. In order to remedy the limitation of my resources, I have benefited from Manuel Arellano's help and I have used the papers by David Hendry and Ken Wallis (1984), Peter Phillips (1985), and Esfandiar Maasoumi (1988a, 1988b). These papers review and summarize the works of the common master, who is considered to be one of the major contributors to Econometrics; in the words of Professor T.W. Anderson: “one of the most distinguished econometricians of our generation.” I am grateful to Peter Phillips and Grayham Mizon for their comments in preparing the English version of this laudatio.

Type
Research Article
Information
Econometric Theory , Volume 19 , Issue 3 , June 2003 , pp. 439 - 450
Copyright
© 2003 Cambridge University Press

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References

REFERENCES

Anderson, T.W. & H. Rubin (1949) Estimation of the parameters of a single equation in a complete system of stochastic equations. Annals of Mathematical Statistics 20, 44–63.Google Scholar
Anderson, T.W. & H. Rubin (1950) The asymptotic properties of estimators of estimates of the parameters of a single equation in a complete system of stochastic equations. Annals of Mathematical Statistics 21, 570–582.CrossRefGoogle Scholar
Durbin, J. (1954) Errors in variables. Review of the Institute of International Statistics 22, 23–31.CrossRefGoogle Scholar
Espasa, A. (1977) El problema de la desestacionalización de series económicas: métodos utilizados y su interpretación. Boletín de Estudios Económicos 32, 461–478.Google Scholar
Espasa, A. & J.D. Sargan (1977) The spectral estimation of simultaneous equation systems with lagged endogenous variables. International Economic Review 18, 583–605. Later published in J.D. Sargan, Contributions to Economics, Vol. 2, E. Maasoumi (ed.), (Cambridge: Cambridge University Press, 1988).Google Scholar
Geary, R.C. (1949) Determination of linear relations between systematic parts of variables with errors of observations, the variances of which are unknown. Econometrica 17, 30–58.CrossRefGoogle Scholar
Hansen, L.P. (1982) Large sample properties of generalized method of moments estimators. Econometrica 50, 1029–1054.CrossRefGoogle Scholar
Hendry, D.F. (1971) Maximum likelihood estimation of systems of simultaneous regressions equations with errors generated by a vector autorregresive process. International Economic Review 12, 257–272.CrossRefGoogle Scholar
Hendry, D.F. (1976) The structure of simultaneous equation estimators. Journal of Econometrics 4, 51–88.CrossRefGoogle Scholar
Hendry, D.F. & G.E. Mizon (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 88, 549–563.CrossRefGoogle Scholar
Hendry, D.F. & K.F. Wallis (eds.) (1984) Introduction by the editors. In D.F. Hendry & K.F. Wallis (eds.), Econometrics and Quantitative Economics, pp. 1–12. Oxford: Basil Blackwell.
Hood, W.C. & T.C. Koopmans (eds.) (1953) Studies in Econometrics Method. Cowles Commission Monograph 14. New York: Wiley.
Koopmans, T.C. (ed.) (1950) Statistical Inference in Dynamic Economic Models. Cowles Commission Monograph 10. New York: Wiley.
Maasoumi, E. (1988a) Denis Sargan and his seminal contributions to economic and econometric theory. Introduction to J.D. Sargan, Contributions to Econometrics, E. Maasoumi (ed.), vol. 6. Cambridge: Cambridge University Press.
Maasoumi, E. (1988b) Contributions of Denis Sargan to the theory of finite sample distributions and dynamic econometric models. Introduction to J.D. Sargan, Contributions to Econometrics, E. Maasoumi (ed.), vol. 2. Cambridge: Cambridge University Press.
Mauleón, I. (1983) Approximations to the finite sample distribution of econometric chi-squared criteria, Ph.D. dissertation, London School of Economics.
Mizon, G.E. & D.F. Hendry (1980) An empirical application and Monte Carlo analysis of tests of dynamic specification. Review of Economic Studies 49, 21–45.CrossRefGoogle Scholar
Phillips, P. (1985) ET Interview: Professor J.D. Sargan. Economic Theory 1, 119–139.CrossRefGoogle Scholar
Reiersol, O. (1941) Confluence analysis by means of lag moments and other methods of confluence analysis. Econometrica 9, 1–24.Google Scholar
Reiersol, O. (1945) Confluence analysis by means of instrumental sets of variables. Arkiv for Matematik, Astronomi, och Fysik, Almquist and Wicksells Boktryckeri-AB, Uppsala, 1–119.
Sims, C.A. (1980) Macroeconomics and reality. Econometrica 48, 1–48. Later published as chapter 8 in C.W.J. Granger (ed.) (1990), Modelling Economic Time Series, pp. 137–189. Oxford: Clarendon Press.Google Scholar
Wright, P. (1928) Appendix B. In P. Wright (ed.), The tariff on animal and vegetable oils. MacMillan.