Abstract
It is evident from the previous chapter that more than half a century has passed since economists first began to use the electronic computer. During this time, the modern techniques of econometrics were developed and have evolved, to some degree coincidentally and to some interactively. The formation of econometrics as a sub-discipline of economics and the development of its constituent ideas are the respective subjects of the well-known books by Qin Duo (Qin, 1993) and Mary Morgan (Morgan, 1978) cited in the last chapter, each of which in its own way traces econometrics from its earliest history to its more formal modern development, which has occurred mainly during the period since 1943. Other authors have further elaborated various aspects of this history. The contributions include a history volume edited by Adrian Darnell, a methodological critique by Adrian Darnell and Lynne Evans, a history by Roy Epstein, and a special issue of the Oxford Economic Papers edited by Neil de Marchi and Christopher Gilbert (de Marchi, & Gilbert, 1989), as well as a history of macroeconometric model building edited by Ronald Bodkin, Lawrence Klein, and Kanta Marwah (Bodkin, Klein, & Marwah, 1991; Christ 1994; Darnell & Evans 1990; de Marchi, & Gilbert, 1989; Epstein, 1987; Gilbert, 1991; Qin & Gilbert, 2001). In addition, David Hendry and Mary Morgan have compiled a collection of foundation readings (Hendry & Morgan, 1995) and most recently the Palgrave Handbook of Econometrics (Mills & Patterson, 2006) has been published. Some years ago, J. J. Thomas, at the end of an article describing the early econometric history of the consumption function suggested that “now is the time for econometricians to write their own history of econometrics, particularly while some of the pioneers are still available to contribute to an accurate account of the early work”(Thomas, 1989, p. 145). His admonition may have been heeded.
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References
Aitchinson, J. (1962). Large sample restricted parametric tests. Journal of the Royal Statistical Society, Series B, 24
Allen, A. T. (Ed.). (1982). SAS/ETS user’s guide: Econometrics and time series library (1982 ed.). Cary, NC: SAS Institute, Inc
Altman, M., Gill,J. & McDonald,M. P. (2004). Numerical issues in statistical computing for the social scientist. Hoboken, NJ: Wiley
Anderson, R. G. (2006). Replicability, real-time data, and the science of economic research: FRED, ALFRED, and VDC. Federal Reserve Bank of St. Louis Review, 88(1), 81–93
Atkinson, A. C. (1970). A method for discriminating between models. Journal of the Royal Statistical Society, Series B, 32
Barger, H., & Klein,L. R. (1954). A quarterly model for the United States economy. Journal of the American Statistical Association, 49, 413–437
Bera, A. K., & Jarque, C. M. (1982). Model specification tests. Journal of Econometrics, 20, 59–82
Begg, I., & Henry, S. G. B. (1998). Applied economics and public policy. Cambridge: Cambridge University Press
Bodkin, R. G., Klein, L. R., & Marwah, K. (1991). A history of macroeconometric model-building (p. 573). Brookfield, Vermont: Edward Elgar
Box, G., & Jenkins, G. (1984). Time series analysis: Forecasting and control (2nd ed.). San Francisco: Holden Day
Breusch, T. S., & Gray, E. (2006). Replicating a study of mothers’ foregone earnings in Australia. Journal of Economic and Social Measurement, 31, 107–125
Brooks, C., Burke, S., & Persand, G. (2001). Benchmarks and the accuracy of GARCH model estimation. International Journal of Forecasting, 17, 45–56
Bruno, G., & De Bonis, R. (2004). A comparative study of alternative econometric packages with an application to Italian deposit interest rates. Journal of Economic and Social Measurement, 29, 271–296
Burns, A. F., & Mitchell, W. C. (1946). Measuring business cycles. New York: National Bureau of Economic Research
Chapman, B., & Gray, M. (2006). Response to Breusch and Gray. Journal of Economic and Social Measurement, 31, 127–138
Chow, G. C. (1960). Tests of equality between sets of coefficients in two linear regressions. Econometrica, 28, 591–605
Christ, C. F. (1994). The Cowles Commission’s contributions to econometrics at Chicago 1939–1955. Journal of Economic Literature, 32(1), 30–59
Consigliere, I. (1981). The Chow test with serially correlated errors. Rivista Internazionale dei Scienze Sociali, 89, 125–137
Cox, D. R. (1961). Tests of separate families of hypotheses. In Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability. Berkeley: University of California Press
Darnell, A. C. (1994). The history of econometrics. Aldershot, Hants: E. Elgar
Darnell, A. C., & Evans, L. (1990). The limits of econometrics. Aldershot, Hants: E. Elgar
Davidson, R., & MacKinnon, J. G. (1981). Several tests for model specification in the presence of alternative hypotheses. Econometrica , 49, 781–793
Davidson, R, & MacKinnon,J. G. (1985). The interpretation of test statistics. Canadian Journal of Economics, 18(1), 38–57
de Marchi, N., & Gilbert, C. (1989). History and methodology of econometrics, Oxford: Clarendon
Desai, M., Hendry,D. F.., & Mizon,G. E. (1997). John Dennis Sargan: An obituary. Economic Journal, 107, 1121–1125
Dewald, W. G., Thursby,J. G., & Anderson,R. G. (1986). Replication in empirical economics: The Journal of Money, Credit and Banking Project. American Economic Review, 76(4), 587–603
Dhrymes, P. J., Howrey,E. P..,Hymans,S. H..,Kmenta,J..,Leamer,E. E..,Quandt,R. E.,et al. (1972). Criteria for the evaluation of econometric models. Annals of Economic and Social Measurement, 3(1), 291–324
Diebold, F. X. (1998). The past, present, and future of macroeconomic forecasting. Journal of Economic Perspectives, 12(2), 175–192
Durbin, J., & Watson,G. S. (1950). Testing for serial correlation in least squares regression. Biometrika, 37, 409–428
Eastwood, A., & Godfrey,L. G. (1992). The properties and constructive use of misspecification tests for multiple regression models. In L. G. Godfrey (Ed.),The implementation and constructive use of misspecification tests in econometrics (pp.109–175). Manchester: Manchester University Press
Epstein, R. J. (1987). A history of econometrics. Amsterdam: North Holland
Ericsson, N. R., & Irons,J. S. (1995). The Lucas Critique in practice: Theory without measurement. In K. D. Hoover (Ed.), Macroeconometrics: Developments, tensions, and prospects (pp. 263–311). Boston, MA: Kluwer
Foss, M. F. (1983). The U.S. national income and product accounts. Studies in income and wealth (Vol. 47). Chicago: University of Chicago Press
Fox, K. A. (1956). Econometric models of the United States. Journal of Political Economy, 64(2), 128–142
Gilbert, C. L. (1986). Professor Hendry’s econometric methodology. Oxford Bulletin of Economics and Statistics, 48, 283–307
Gilbert, C. L. (1991). Richard Stone, demand theory and the emergence of modern econometrics. Economic Journal, 101, 288–302
Gilbert, C. L., & Qin,D. (2006). The first fifty years of modern econometrics. In T. C. Mills, & K. Patterson (Eds.), Palgrave handbook of econometrics. Basingstoke: Palgrave Macmillan
Goldberger, A. S. (1964). Econometric theory. New York: Wiley
Granger, C. W. J. (1992). Fellow’s opinion: Evaluating economic theory. Journal of Econometrics, 51, 3–5
Greene, W. H. (2004). Reply to “a comparative study of alternative econometric packages with an application to Italian deposit rates”, by G. Bruno and R. De Bonis. Journal of Economic and Social Measurement, 29, 297–305
Haavelmo, T. (1958). The role of the econometrician in the advancement of economic theory. Econometrica, 26(3), 351–357
Hahn, F. H. (1970). Some adjustment problems. Econometrica, 38(1), 1–17
Hall, S. (1995). Macroeconomics and a bit more reality. Economic Journal, 105, 974–988
Hart, B. I., & von Neumann, J. (1942). Tabulation of the probabilities for the ratio of the mean square successive difference to the variance. Annals of Mathematical Statistics, 13, 207–214
Harvey, A. C. (1981). The econometric analysis of time series. New York: Wiley
Harvey, A. C. (1990). The econometric analysis of time series. LSE handbooks in economics (2nd ed.). Cambridge, MA: MIT
Hausman, J. (1978). Specification tests in econometrics. Econometrica, 46: 1251–1272
Hendry, D. F. (1995). Dynamic econometrics. Oxford: Oxford University Press
Hendry, D. F. (2003b). J. Denis Sargan and the origins of the LSE econometric methodology. Econometric Theory, 19, 457–480
Hendry, D. F., & Morgan,M. S. (1995). The foundations of econometric analysis (Vol. xvi, p. 558). Cambridge, New York: Cambridge University Press
Hill, R. C., & Griffiths,W. E. (1993). Learning SAS: A computer handbook for econometrics: A guide to programming for Griffiths/Hill/Judge learning and practicing econometrics, and Judge/Hill/Griffiths/Lèutkepohl/Lee Introduction to the theory and practice of econometrics (2nd ed.). New York: Wiley
Howrey, E. P. (1978). The use of preliminary data in econometric forecasting. Review of Economics and Statistics, 60(2), 193–200
Johnston, J. (1963). Econometric methods. New York: McGraw-Hill
Johnston, J., & DiNardo,J. (1997). Econometric methods (4th ed.). New York: McGraw-Hill
Kendrick, J. W. (1995). The new system of national accounts. Boston: Kluwer
Kenessey, Z. (1994). The accounts of nations. Amsterdam: IOS
King, G. (1995). Replication, replication. PS: Political Science and Politics, 28(3), 444–452
Kiviet, J. F. (1986). On the rigour of some misspecification tests for modelling dynamic relationships. Review of Economic Studies, 53, 241–261
Klein, L. R. (1950). Economic fluctuations in the United States 1921–1941. In Cowles Commission Monograph (Vol. 11). New York: Wiley
Klein, L. R. (1953). A textbook of econometrics. New York: Row, Peterson
Klein, L. R., & Goldberger,A. S. (1955). An econometric model of the United States, 1929–1952. Contributions to economic analysis (p. 9). Amsterdam: North Holland
Koopmans, T. C. (1947). Measurement without theory. Review of Economics and Statistics, 29(2), 161–172
Krolzig, H.-M., & Hendry,D. F. (2001). Computer automation of general-to-specific model selection procedures. Journal of Economic Dynamics and Control, 25, 831–866
Lawson, T. (1989). Realism and instrumentalism in the development of econometrics. Oxford Economic Papers, 41(1), 236–258
Leamer, E. E. (1978). Specification searches: Ad hoc inference with non-experimental data. New York: Wiley
Leamer, E. E. (1983). Let’s take the con out of econometrics. American Economic Review, 73, 31–43
Leontief, W. (1971). Theoretical assumptions and nonobserved facts. American Economic Review, 61(1), 1–7
Leontief, W. W. (1941). The structure of the American economy. New York: Oxford University Press
MacKinnon, J. G. (1989). Heteroskedasticity-robust tests for structural change. Empirical Economics, 14, 77–92
Marshall, A. (1907). The social possibilities of economic chivalry. Economic Journal, 17, 7–29
McCullough, B. D. (1997). A review of RATS v4.2: Benchmarking numeric accuracy. Journal of Applied Econometrics, 12, 181–190
McCullough, B. D. (1998). Assessing the reliability of statistical software: Part I. American Statistician, 52(4), 358–366
McCullough, B. D., McGeary,K. A..,& Harrison,T. D. (2006a). Lessons from the JCMB archive. Journal of Money, Credit, and Banking, 38(4), 1093–1107
McCullough, B. D., & Renfro, C. G. (1998). Benchmarks and software standards: A case study of GARCH procedures. Journal of Economic and Social Measurement, 25, 59–71
McCullough, B. D., & Renfro, C. G. (2000). Some numerical aspects of nonlinear estimation. Journal of Economic and Social Measurement, 26, 63–77
McCullough, B. D., Renfro, C. G., & Stokes, H. H. (2006). Re-examining 50-year-old OLS estimates of the Klein-Goldberger model. Statistica Neerlandica, 60(3), 181–193
McCullough, B. D., & Vinod, H. D. (1999). The numerical reliability of econometric software. Journal of Economic Literature, 37(2), 633–665
McCullough, B. D., & Wilson,B. (1999). On the accuracy of statistical procedures in Microsoft Excel 97. Computational Statistics & Data Analysis, 31, 27–37
McCullough, B. D., & Wilson,B. (2002). On the accuracy of statistical procedures in Microsoft Excel 2000 and Excel XP. Computational Statistics & Data Analysis, 40, 713–721
Mirowski, P., & Sklivas,S. (1991). Why econometricians don’t replicate (although they do reproduce). Review of Political Economy, 3(2), 146–163
Morgan, G. H. T. (1978). Topics in econometric model research (p. 48). Wellington: Reserve Bank of New Zealand
Morgan, M. S. (1990). The history of econometric ideas. In Historical perspectives on modern economics. Cambridge, UK: Cambridge University Press
Pagan, A. R. (1990). Three Econometric Methodologies: A Critical Appraisal. In C. W. J. Granger(Ed.), Modelling economic series: Readings in economic methodology(pp.97–120). Oxford: Clarendon
Plosser, C. I., Schwert,G. W..,& White,H. (1982). Differencing as a test of specification. International Economic Review, 23, 535–552
Qin, D. (1993). The formation of econometrics: A historical perspective. Oxford: Clarendon
Qin, D., & Gilbert,C. L. (2001). The error term in the history of time series econometrics. Econometric Theory, 17, 424–450
Ramsey, J. B. (1969). Tests for specification error in classical linear least squares analysis. Journal of the Royal Statistical Society, Series B, 31, 350–371
Renfro[AU23], C. G. (1980a). Economic data base systems: Some reflections on the state of the art. Review of Public Data Use, 8(3), 121–140
Renfro[AU22], C. G. (1997a). Economic data base systems: Further reflections on the state of the art. Journal of Economic and Social Measurement, 23(1), 43–85
Renfro, C. G. (2003). Building and using a small macroeconometric model: Klein model I as an example. Philadelphia: Modler Information Technologies Press
Renfro, C. G. (2004a). The early development of econometric modeling languages. Journal of Economic and Social Measurement, 29, 145–166[AU24]
Saikkonnen, P. (1989). Asymptotic relative efficiency of the classical test statistics under misspecification. Journal of Econometrics, 42, 351–369
Sall, J. P. (1979). SAS econometric and time-series library. Preliminary test version for SAS 79.2. In SAS Institute Technical Report. Raleigh, NC: SAS Institute, Inc
Sargent, T. J., & Sims, C. A. (1977). Business cycle modeling without pretending to have too much a priori economic theory, In New Methods in Business Cycle Reserach (pp. 45–109). Minneapolis, MN: Federal Reserve Bank of Minneapolis
Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48, 1–48
Stokes, H. H. (2004a). Econometric software as a theoretical research tool. Journal of Economic and Social Measurement, 29, 183–188
Summers, L. H. (1991). The scientific illusion in empirical macroeconomics. Scandinavian Journal of Economics, 93(2), 129–148
Theil, H. (1954). Linear aggregation of economic relations. Amsterdam: North Holland
Theil, H. (1957). Specification errors and the estimation of economic relationships. Review of the International Statistical Institute, 25(1/3), 41–51
Thomas, J. J. (1989). The early econometric history of the consumption function. Oxford Economic Papers, 41(1), 131–149
Thursby, J. G. (1989). A comparison of several specification error tests for a general alternative. International Economic Review, 30, 217–230
Tinbergen, J. (1939). Statistical testing of business cycle theories. Geneva: League of Nations
Tinbergen, J. (1951). Econometrics. London: Allen & Unwin
Tintner, G. (1952). Econometrics. New York: Wiley
Vanoli, A. (2005). A history of national accounting. Amsterdam: IOS
Vining, R. (1949). Koopmans on the choice of variables to be studied and of methods of measurement. Review of Economics and Statistics, 31(2), 77–86
von Neumann, J. (1941). Distribution of the ratio of the mean square successive difference to the variance. Annals of Mathematical Statistics, 12(4), 367–395
White, H., Engle,R. F..,& Granger, C. W. J. (1999).Cointegration, causality, and forecasting: A festschrift in honour of Clive W.J. Granger (Vol. vi, p.497)Oxford: Oxford University Press
Wickens, M. R., & Pagan,A. R. (1989). A survey of some recent econometric methods. Economic Journal, 99, 962–1025
Zellner, A. (2006). Email re the Durbin-Watson Statistic. C. G. Renfro, Recipient
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Renfro, C. (2009). Econometric Diagnostic Tests. In: The Practice of Econometric Theory. Advanced Studies in Theoretical and Applied Econometrics, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75571-5_4
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