Abstract
The primary aim of the paper is to place current methodological discussions in macroeconometric modeling contrasting the ‘theory first’ versus the ‘data first’ perspectives in the context of a broader methodological framework with a view to constructively appraise them. In particular, the paper focuses on Colander’s argument in his paper “Economists, Incentives, Judgement, and the European CVAR Approach to Macroeconometrics” contrasting two different perspectives in Europe and the US that are currently dominating empirical macroeconometric modeling and delves deeper into their methodological/philosophical underpinnings. It is argued that the key to establishing a constructive dialogue between them is provided by a better understanding of the role of data in modern statistical inference, and how that relates to the centuries old issue of the realisticness of economic theories.
References
Cairnes, J. E. (1888), The Character and Logical Method of Political Economy, Reprints of Economic Classics, 1965, Augustus, M. Kelley, NY.Search in Google Scholar
Campos, J., N. R. Ericsson, and D. F. Hendry (2005) (eds.), General-to-Specific Modeling, Vol. 1-2, Edward Elgar, Northampton, MA.Search in Google Scholar
Colander, D. (2009), “Economists, Incentives, Judgement, and the European CVAR Approach to Macroeconometrics,” Economics—The Open-Access, Open-Assessment E-Journal, Vol. 3, 2009-9, http://www.economics-ejournal.org/economics/journalarticles/2009-9.Search in Google Scholar
Cox, D. R. and D. V. Hinkley (1974), Theoretical Statistics, Chapman & Hall, London.10.1007/978-1-4899-2887-0Search in Google Scholar
Friedman, M. (1953), “The Methodology of Positive Economics,” pp. 3-43 in Essays in Positive Economics, Chicago University Press, Chicago.10.1017/CBO9780511581427.002Search in Google Scholar
Hendry, D. F. (1995), Dynamic Econometrics, Oxford University Press, Oxford.10.1093/0198283164.001.0001Search in Google Scholar
Hendry, D. F. (2000), Econometrics: Alchemy or Science? 2nd ed., Blackwell, Oxford.10.1093/0198293542.001.0001Search in Google Scholar
Hoover, K. D. (2006), “The Methodology of Econometrics,” pp. 61-87, in New Palgrave Handbook of Econometrics, vol. 1, ed. T. C. Mills and K. Patterson, Macmillan, London.Search in Google Scholar
Hoover, K. D., S. Johansen and K. Juselious (2008), “Allowing the Data to Speak Freely: The Macroeconometrics of the Cointegrated Vector Autoregression,” American Economic Review, 98: 251-255.10.1257/aer.98.2.251Search in Google Scholar
Ireland, P. 2004. “A Method for taking Models to the Data” Journal of Economic Dynamics and Control, 28: 1205-26.Search in Google Scholar
Johansen, S. (1996), Likelihood-Based Inference in Cointegrated Vector Autoregressive Models, Oxford University Press, Oxford.10.1093/0198774508.001.0001Search in Google Scholar
Johansen, S. (2007), “Confronting the Economic Model with the Data” in D. Colander, Post Walrasian Macroeconomics: Beyond the DSGE Model. Cambridge University Press.10.1017/CBO9780511617751.017Search in Google Scholar
Juselius, K. (2006), The Cointegrated VAR Model: Methodology and Applications, Oxford University Press, Oxford.Search in Google Scholar
Juselius, K. and Franchi, M. (2007), “Taking a DSGE Model to the Data Meaningfully.” Economics–The Open-Access, Open-Assessment E-Journal, No. 2007-4, http://www.economics-ejournal.org/economics/journalarticles/2007-4.10.5018/economics-ejournal.ja.2007-4Search in Google Scholar
Kennedy, P. (2008), A Guide to Econometrics, 6th edition, MIT Press, MA.Search in Google Scholar
Kydland, F. and P. Prescott (1991), “The Econometrics of the General Equilibrium Approach to Business Cycles,” Scandinavian Journal of Economics, 93: 161-178.10.2307/3440324Search in Google Scholar
Maki, U. (2000), “Reclaiming Relevant Realism,” Journal of Economic Methodology, 7: 109-125.10.1080/135017800362266Search in Google Scholar
Malthus, T. R. (1936), Principles of Political Economy, Reprints of Economic Classics, 1986, Augustus, M. Kelley, NJ.Search in Google Scholar
Marshall, A. (1891/1920), Principles of Economics, 8th ed., McMillan, London.Search in Google Scholar
Mayo, D. G. (1996), Error and the Growth of Experimental Knowledge, The University of Chicago Press, Chicago.10.7208/chicago/9780226511993.001.0001Search in Google Scholar
Mayo, D. G. and Spanos, A. (2004), “Methodology in Practice: Statistical Misspecification Testing,” Philosophy of Science, 71: 1007–25.10.1086/425064Search in Google Scholar
Mayo, D. G. and Spanos, A. (2006), “Severe testing as a basic concept in a Neyman– Pearson philosophy of induction,” British Journal for the Philosophy of Science, 57: 323–57.10.1093/bjps/axl003Search in Google Scholar
Mill, J. S. (1844), Essays on some Unsettled Questions of Political Economy, Reprints of Economic Classics, 1974, Augustus, M. Kelley, NJ.Search in Google Scholar
Mirowski, P. (1994), “What are the questions?” pp. 50-74 in Backhouse, R. E. (ed) (1994), New Directions in Economic Methodology, Routeledge, London.Search in Google Scholar
Ricardo, D. (1817), Principles of Political Economy and Taxation, vol. 1 of The Collected Works of David Ricardo, ed. P. Sraffa and M. Dobb, Cambridge University Press, Cambridge.Search in Google Scholar
Robbins, L. (1935), An Essay on the Nature and Significance of Economic Science, 2nd ed., McMillan, London.Search in Google Scholar
Robbins, L. (1971), Autobiography of an Economist, McMillan, London.10.1007/978-1-349-01164-3Search in Google Scholar
Sargan, J. D., (1964), “Wages and prices in the United Kingdom: a study in econometric modelling,” pp 25–63 in Hart, P. E., Mills, G. and Whitaker, J. K., Econometric Analysis for National Economic Planning, Butterworths, London.Search in Google Scholar
Spanos, A. (1986), Statistical Foundations of Econometric Modelling, Cambridge University Press, Cambridge.10.1017/CBO9780511599293Search in Google Scholar
Spanos, A. (1990), “The Simultaneous Equations Model Revisited: Statistical Adequacy and Identification,” Journal of Econometrics, 44: 87–108.10.1016/0304-4076(90)90074-4Search in Google Scholar
Spanos, A. (1995), “On theory testing in econometrics: modeling with nonexperimental data,” Journal of Econometrics, 67: 189–226.10.1016/0304-4076(94)01633-BSearch in Google Scholar
Spanos, A. (2000), “Revisiting Data Mining: ‘hunting’ with or without a license,” The Journal of Economic Methodology, 7: 231-264.10.1080/13501780050045119Search in Google Scholar
Spanos, A. (2005), “Misspecification, Robustness and the Reliability of Inference: the simple t-test in the presence of Markov dependence,” Working Paper, Virginia Tech.Search in Google Scholar
Spanos, A. (2006a), “Econometrics in retrospect and prospect,” In New Palgrave Handbook of Econometrics, vol. 1, ed. T. C. Mills and K. Patterson, Macmillan, London.Search in Google Scholar
Spanos, A. (2006b), “Revisiting the omitted variables argument: substantive vs. statistical adequacy,” Journal of Economic Methodology, 13: 179–218.10.1080/13501780600730687Search in Google Scholar
Spanos, A. (2008), “Statistics and Economics,” pp. 1129-1162 in the New Palgrave Dictionary of Economics, 2nd edition, Eds. S. N. Durlauf and L. E. Blume. Palgrave Macmillan, London.10.1057/978-1-349-95121-5_1935-1Search in Google Scholar
Spanos, A. (2009a), “Theory Testing in Economics and the Error Statistical Perspective,” forthcoming in Error and Inference, D. G. Mayo and A. Spanos (2009b), Cambridge University Press, Cambridge.10.1017/CBO9780511657528.008Search in Google Scholar
Spanos, A. (2009b), “Philosophy of Econometrics,” forthcoming in the Handbook of the Philosophy of Science, edited by D. Gabbay, P. Thagard, and J. Woods, Elsevier, North Holland.Search in Google Scholar
Spanos, A. and McGuirk, A. (2001), “The model specification problem from a probabilistic reduction perspective,” Journal of the American Agricultural Association, 83: 1168–76.10.1111/0002-9092.00262Search in Google Scholar
© 2009 Aris Spanos, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.