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Bibliography
Anderson, T. W.,An Introduction to Multivariate Statistical Analysis, New York: Wiley, 1958.
Anderson, T. W., “On Asymptotic Distributions of Estimates of Parameters of Stochastic Difference Equations,”Annals of Mathematical Statistics, 30 (1959), pp. 676–687.
Barten, A. P., “Note on Unbiased Estimation of the Squared Multiple Correlation Coefficient,”Statistica Neerlandica, 16 (1962), pp. 151–163.
Berkson, J., “Estimation by Least Squares and Maximum Likelihood,”Proceedings of the Third Berkeley Symposium, vol. 1, Berkeley: University of California Press, 1956, pp. 1–11.
Burkhead, J.,Government Budgeting, New York: Wiley, 1956.
Burns, J. M. and Peltason, J. W.,Government by the People, Englewood Cliffs: Prentice Hall, 1960.
Chow, G. C., “Tests of Equality between Sets of Coefficients in Two Linear Regressions,”Econometrica, 28 (1960), pp. 591–605.
Chow, G. C., “A Comparison of Alternative Estimators for Simultaneous Equations Systems,”Econometrica, 32 (1964), pp. 532–553.
Cyert, R. M. and March, J. G.,A Behavioral Theory of the Firm, Englewood Cliffs: Prentice Hall, 1963.
Davis, O. A., Dempster, M. A. H., and Wildavsky, A., “A Theory of the Budgetary Process,”American Political Science Review, 60 (1966)
Dempster, M. A. H., “On the Budget Process: An Empirical Study of Congressional Appropriation; 1946–1963,” (unpublished preliminary report), Graduate School of Industrial Administration, Carnegie Institute of Technology, 1964.
David, F. N.,Tables of the Ordinates and the Probability Integral of the Distribution of the Correlation Coefficient in Small Samples, Cambridge University Press, 1938.
Durbin, J., “Estimation of Parameters in Time-series Regression Models,”Journal of the Royal Statistical Society, Series B, 22 (1960) pp. 139–153.
Fenno, R. F., “The House Appropriations Committee as a Political System: The Problem of Integration,”American Political Science Review, 56 (1962), pp. 310–324.
Hotelling, H., “The Behavior of Some Standard Statistical Tests under Nonstandard Conditions,”Proceedings of the Fourth Berkeley Symposium vol. 1, Berkeley: University of California Press, 1961, pp. 319–359.
Hood, W. C., and Koopmans, T. C.,Studies in Econometric Method, New York: Wiley, 1953.
Johnston, J.,Econometric Methods, New York: McGraw-Hill, 1963.
Kendall, M. G., and Stuart, A.,The Advanced Theory of Statistics, London: Griffin and Co., 1961.
Koopmans, T. C., (ed.),Statistical Inference in Dynamic Economic Models, New York: Wiley, 1950.
Lyttkens, E., “Standard Errors of Regression Coefficients in the Case of Autocorrelated Residuals,” published as chapter 3 in Rosenblatt, M. (ed.),Time Series Analysis, New York: Wiley, 1963, pp. 38–60.
Mann, H. B., and Wald, A., “Linear Stochastic Difference Equations,”Econometrica, 11 (1943), pp. 173–220.
Neiswanger, W. A., and Yancey, T. A., “Parameter Estimates and Autonomous Growth,”Journal of the American Statistical Association, 54 (1959), 389–402.
Nerlove, M., and Wallis, K. F., “Use of the Durbin-Watson Statistic in Inappropriate Situations,”Econometrica, 34 (1966), pp. 232–34.
Neumann, J. von, “Distribution of the Ration of the Mean Square Successive Difference to the Variance,”Annals of Mathematical Statistics, 12 (1941), pp. 367–395; and “A Further Remark on the Distribution of the Ratio of the Mean Square Successive Difference to the Variance,”Annals of Mathematical Statistics, 13 (1942), pp. 86–88.
Peacock, A. F., and Wiseman, J.,The Growth of Public Expenditure in the United Kingdom, Princeton: Princeton University Press, 1961.
Rao, M. M., “Consistency and Limit Distributions of Estimators of Parameters in Explosive Stochastic Difference Equations,”Annals of Mathematical Statistics, 32 (1961), pp. 195–218.
Scheffé, H.,The Analysis of Variance, New York: Wiley, 1959.
Smithies, A.,The Budgetary Process in the United States, New York: McGraw-Hill, 1955.
Theil, H.,Linear Aggregation of Economic Relations, Amsterdam: North-Holland, 1954.
Theil, H.,Economic Forecasts and Policy, Amsterdam: North-Holland, 1961.
Theil, H., and Nagar, A. L., “Testing the Independence of Regression Disturbances,”Journal of the American Statistical Association, 56 (1961), pp. 793–806.
Wildavsky, A.,The Politics of the Budgetary Process, Boston: Little, Brown and Co., 1964.
Wold, H., “Unbiased Predictors,”Proceedings of the Fourth Berkeley Symposium in Mathematical Statistics and Probability, vol. 1, Berkeley: University of California Press, 1961, p. 719.
Wold, H., and Jureen, L.,Demand Analysis, New York: Wiley, 1953.
Zellner, A., “An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias,”Journal of the American Statistical Association, 57 (1962), pp. 348–358.
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This research was sponsored by Resources for the Future. However, only the authors are responsible for any opinions reported herein, any errors, and the point of view of the paper. Although the authors are jointly responsible for the main text of the paper, Dempster has primary responsibility for the appendix. The respective institutional affiliations of the authors are: Carnegie Institute of Technology, University of Oxford, and the University of California at Berkeley.
It should be noted that references are indicated by numbers enclosed by brackets. Numbers within parentheses refer to both footnotes and equations in the text, but equations generally are indicated by a number with a decimal point.
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Davis, O.A., Dempster, M.A.H. & Wildavsky, A. On the process of budgeting: An empirical study of congressional appropriation. Public Choice 1, 63–132 (1966). https://doi.org/10.1007/BF01718989
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DOI: https://doi.org/10.1007/BF01718989