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The Formation of Econometrics: A Historical Perspective Duo Qin Oxford University Press, 1993

Published online by Cambridge University Press:  11 February 2009

Abstract

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Book Review
Copyright
Copyright © Cambridge University Press 1997

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References

REFERENCES

Bergstrom, A.R. (1962) The exact sampling distributions of least squares and maximum likelihood estimators of the marginal propensity to consume. Econometrica 30, 480490.10.2307/1909891CrossRefGoogle Scholar
Card, D. & Krueger, A.B. (1995) Myth and Measurement: The New Economics of the Minimum Wage. Princeton, New Jersey: Princeton University Press.Google Scholar
Chemoff, H. & Rubin, H. (1953) Asymptotic properties of limited-information estimates under generalized conditions. In Hood, W.C. & Koopmans, T.C. (eds.). Studies in Econometric Method, Cowles Commission Monograph 14, pp. 200212. New York: Wiley.Google Scholar
Fisher, R.A. (1922) On the mathematical foundations of theoretical statistics. Reprinted in Kotz, S. & Johnson, N.L. (eds.) (1992), Breakthroughs in Statistics, vol. I: Foundations and Basic Theory, pp. 1144. New York: Springer-Verlag.Google Scholar
Goldberger. A.S. (1964) Econometric Theory. New York: Wiley.Google Scholar
Haavelmo, T. (1943) The statistical implications of a system of simultaneous equations. Econometrica 11, 112.10.2307/1905714CrossRefGoogle Scholar
Haavelmo, T. (1944) The probability approach in econometrics [whole supplement]. Econometrica 12.Google Scholar
Koopmans, T.C. & Hood, W.C. (1953) The estimation of simultaneous linear economic relationships. In Hood, W.C. & Koopmans, T.C. (eds.), Studies in Econometric Method, Cowles Commission Monograph 14, pp. 112199. New York: Wiley.Google Scholar
Le Cam, L. (1953) On some asymptotic properties of maximum likelihood estimates and related Bayes' estimates. University of California Publications in Statistics 1, 277329.Google Scholar
Lehmann, E.L. (1992) Introduction to Neyman and Pearson (1933) “On the problem of the most efficient tests of statistical hypotheses.” In Kotz, S. & Johnson, N.L. (eds.) (1992), Breakthroughs in Statistics, vol. I: Foundations and Basic Theory, pp. 6772. New York: Springer-Verlag.10.1007/978-1-4612-0919-5_5CrossRefGoogle Scholar
Mann, H.B. & Wald, A. (1943) On the statistical treatment of linear stochastic difference equations. Econometrica 11, 173220.10.2307/1905674CrossRefGoogle Scholar
Morgan, M.S. (1990) The History of Econometric Ideas. New York: Cambridge University Press.10.1017/CBO9780511522109CrossRefGoogle Scholar
Neyman, J. & Pearson, E.S. (1933) On the problem of the most efficient tests of statistical hypotheses. Reprinted in Kotz, S. & Johnson, N.L. (eds.) (1992), Breakthroughs in Statistics, vol. I: Foundations and Basic Theory, pp. 73108. New York: Springer-Verlag.Google Scholar
Tinbergen, J. (1939) Statistical Testing of Business-Cycle Theories I: A Method and Its Application to Investment Activity. Geneva: League of Nations.Google Scholar
Wald, A. (1941) Asymptotically most powerful tests of statistical hypotheses. Annals of Mathematical Statistics 12, 119.10.1214/aoms/1177731783CrossRefGoogle Scholar
Wald, A. (1943) Test of statistical hypotheses concerning several parameters when the number of observations is large. Transactions of the American Mathematical Society 54, 426482.10.1090/S0002-9947-1943-0012401-3CrossRefGoogle Scholar
Wald, A. (1949) Note on the consistency of the maximum likelihood estimator. Annals of Mathematical Statistics 20, 595601.10.1214/aoms/1177729952CrossRefGoogle Scholar