Abstract
For a great many years, and certainly for as long as Cramer has held the chair of econometrics at the University of Amsterdam, the simultaneous-equation model has represented, to econometric theorists, what Kuhn, the author of a famous monograph on the Structure of Scientific Revolutions (1972) would describe as a central paradigm of their science.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Bibliography
Anderson TW, Rubin H. 1949. Estimation of the parameters of a single equation in a complete system of stochastic equations. Annals of Mathematical Statistics, 20: 46–63.
Basmann RL. 1957. A generalized classical method of linear estimation of coefficients in a structural equation. Econometrica, 24: 77–83.
Chow GC. 1964. A comparison of alternative estimators for simultaneous equations. Econometrica, 32: 532–553.
Chow GC. 1968. Two methods of computing full-information maximum-likelihood estimates in simultaneous stochastic equations. International Economic Review, 9: 100–112.
Dhrymes PJ. 1970. Econometrics: statistical foundations and applications. New York: Harper and Row.
Keller WJ. 1975. A new class of limited-information estimators for simultaneous-equation systems. Journal of Econometrics, 3: 71–92.
Klein LJ. 1974. A textbook of econometrics ( second edition ). Englewood Cliffs: Prentice-Hall.
Koopmans TC, Rubin H, Leipnik RB. 1950. Measuring the equation systems of dynamic economics, chapter 2 in: Statistical inference in dynamic economic models, edited by T.C. Koopmans. Cowles Foundation for Research in Economics, Monograph 10, New York: John Wiley and Sons.
Koopmans TC, Hood WC. 1953. The estimation of simultaneous linear economic relationships, chapter 6 in: Studies in econometric method, edited by W.C. Hood and T.C. Koopmans. Cowles Foundation for Research in Economics, Monograph 14, New York: John Wiley and Sons.
Kuhn TS. 1972. The structure of scientific revolutions ( second edition ). Chicago: University of Chicago Press.
Neudecker H. 1969. Some theorems on matrix differentiation with special reference to Kronecker matrix products. Journal of the American Statistical Association, 64: 953–963.
Pollock DSG. 1979. The algebra of econometrics. Chichester: John Wiley and Sons.
Pollock DSG. 1983. Varieties of the LIML estimator. Australian Economic Papers, December: 499–506.
Pollock DSG. 1984. Two reduced-form approaches to the derivation of the maximum-likelihood estimators for simultaneous-equation systems. Journal of Econometrics, 24: 331–347.
Pollock DSG. 1985. Tensor products and matrix differential calculus. Linear Algebra and its Applications, 67: 169–193.
Scharf W. 1976. K-matrix-class estimators and the full-information maximum-likelihood estimator as a special case. Journal of Econometrics, 4: 41–45.
Theil H. 1958. Economic forecasts and economic policy. Amsterdam: North-Holland Publishing Co.
Zellner A, Theil H. 1962. Three-stage least squares: simultaneous estimation of simultaneous equations. Econometrica, 30: 54–78.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1987 Martinus Nijhoff Publishers, Dordrecht
About this chapter
Cite this chapter
Pollock, S. (1987). The classical econometric model. In: Heijmans, R., Neudecker, H. (eds) The Practice of Econometrics. International Studies in Economics and Econometrics, vol 15. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3591-4_16
Download citation
DOI: https://doi.org/10.1007/978-94-009-3591-4_16
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-8106-1
Online ISBN: 978-94-009-3591-4
eBook Packages: Springer Book Archive