Abstract
Frequently, we need to differentiate quantities like tr(AX) with respect to the elements of X, or quantities like Ax, z′Ax with respect to the elements of (the vectors) x and/or z.
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Notes
- 1.
In fact we dealt with such issues in Chap. 4; the elimination or selection matrix discussed in Remark 4.7, say, S, produces the distinct elements of the symmetric matrix A in the column vector α, by the operation α = Svec(A), while the restoration matrix, also discussed therein, operates on α to produce (restore) vec(A). This is the matrix H defined below, so that H α = vec(A).
Bibliography
Anderson, T.W. and H. Rubin (1949), Estimation of the Parameters of a Single Equation in a Complete System of Stochastic Equations, Annals of Mathematical Statistics, pp. 46–63.
Anderson, T.W. and H. Rubin (1950), The Asymptotic Properties of Estimates of Parameters of in a Complete System of Stochastic Equations, Annals of Mathematical Statistics, pp. 570–582.
Balestra, P., & Nerlove, M. (1966). Pooling cross section time series data in the estimation of a dynamic model: The demand for natural gas. Econometrica, 34, 585–612.
Bellman, R. G. (1960). Introduction to matrix analysis. New York: McGraw-Hill.
Billingsley, P. (1968). Convergence of probability measures. New York: Wiley.
Billingsley, P. (1995). Probability and measure (3rd ed.). New York: Wiley.
Brockwell, P. J., & Davis, R. A. (1991). Time series: Theory and methods (2nd ed.). New York: Springer-Verlag.
Chow, Y. S., & Teicher, H. (1988). Probability theory (2nd ed.). New York: Springer-Verlag.
Dhrymes, P. J. (1969). Alternative asymptotic tests of significance and related aspects of 2SLS and 3SLS estimated parameters. Review of Economic Studies, 36, 213–226.
Dhrymes, P. J. (1970). Econometrics: Statistical foundations and applications. New York: Harper and Row; also (1974). New York: Springer-Verlag.
Dhrymes, P. J. (1973). Restricted and Unrestricted Reduced Forms: Asymptotic Distributions and Relative Efficiencies, Econometrica, vol. 41, pp. 119–134.
Dhrymes, P. J. (1978). Introductory economics. New York: Springer-Verlag.
Dhrymes, P.J. (1982) Distributed Lags: Problems of Estmation and Formulation (corrected edition) Amsterdam: North Holland
Dhrymes, P. J. (1989). Topics in advanced econometrics: Probability foundations. New York: Springer-Verlag.
Dhrymes, P. J. (1994). Topics in advanced econometrics: Volume II linear and nonlinear simultaneous equations. New York: Springer-Verlag.
Hadley, G. (1961). Linear algebra. Reading: Addison-Wesley.
Kendall, M. G., & Stuart, A. (1963). The advanced theory of statistics. London: Charles Griffin.
Kendall M. G., Stuart, A., & Ord, J. K. (1987). Kendall’s advanced theory of statistics. New York: Oxford University Press.
Kolassa, J. E. (1997). Series approximation methods in statistics (2nd ed.). New York: Springer-Verlag.
Sims, C.A. (1980). Macroeconomics and Reality, Econometrica, vol. 48, pp.1–48.
Shiryayev, A. N. (1984). Probability. New York: Springer-Verlag.
Stout, W. F. (1974). Almost sure convergence. New York: Academic.
Theil, H. (1953). Estimation and Simultaneous Correlation in Complete Equation Systems, mimeograph, The Hague: Central Plan Bureau.
Theil, H. (1958). Economic Forecasts and Policy, Amsterdam: North Holland.
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Dhrymes, P.J. (2013). Vector and Matrix Differentiation. In: Mathematics for Econometrics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8145-4_5
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