Pillai N., Vijayamohanan (2008): In Quest of Truth: The War of Methods in Economics.
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The present paper discusses the ‘battle of methods’ in economics in its epistemic pursuit in the framework of a dialectics between science and art. The traditional distinction between deduction and induction has come to be characterized as a ‘theory-data confrontation’; while the former a priori approach has flourished in terms of mathematical economics, the inductive approach has fulfilled its mission through econometrics and experimental economics. The paper outlines the recent trends in econometrics and experimental economics in the context of empirical pursuit. We conclude the study, reiterating the contemporary consensus on the complementary roles of the two approaches: a theory-data confluence, not in a static, but in a dialectical framework.
|Item Type:||MPRA Paper|
|Original Title:||In Quest of Truth: The War of Methods in Economics|
|Keywords:||Economic Methodology, Deduction, Induction, Dialectics, Mathematics, Econometrics|
|Subjects:||B - History of Economic Thought, Methodology, and Heterodox Approaches > B2 - History of Economic Thought since 1925 > B23 - Econometrics; Quantitative and Mathematical Studies
B - History of Economic Thought, Methodology, and Heterodox Approaches > B1 - History of Economic Thought through 1925 > B16 - Quantitative and Mathematical
B - History of Economic Thought, Methodology, and Heterodox Approaches > B0 - General > B00 - General
B - History of Economic Thought, Methodology, and Heterodox Approaches > B4 - Economic Methodology > B41 - Economic Methodology
|Depositing User:||Vijayamohanan Pillai N|
|Date Deposited:||26. May 2008 08:14|
|Last Modified:||12. Feb 2013 15:26|
Allais M. (1953), Le comportment de l’homme rationnel devant le risque: critique des postulats et axiomes de l’école americaine, in "Econometrica", n. 21, pp. 503-546.
Altug, S. (1989), “Time-to-build and aggregate fluctuations: Some new evidence”, International Economic Review, 10, 889-920.
Arango, L.E. and Gonzalez, A. (2001) ‘Some evidence of smooth transition nonlinearity in Colombian inflation’, Applied Economics, Vol. 33: 155-162.
Akaike, H. (1969), ‘Fitting Autoregressions for Prediction’, Annals of the Institute of Statistical Mathematics, Vol. 21: 243-247.
Anderson, P., Arrow, K. and Pines, D. (eds.) (1988) The Economy as an Evolving Complex Sysytem, Sante Fe Institute Studies in the Sciences of Complexity, Vol. V, Redwood City, CA: Addison-Wesley.
Archibald, G. C. and Lipsey, Richard G. (1973) An Introduction to A Mathematical Treatment of Economics (second edition). London: Weidenfeld and Nocolson.
Anderson, P.A. (1979) ‘Rational Expectations Forecasts from Non-rational Models’, Journal of Monetary Economics, Vol. 5: 67-80. Backhouse, R. E. (1998) ‘If Mathematics Is Informal, Then Perhaps We Should Accept That Economics Must Be Informal Too’, Economic Journal 108 (451), 1848–58. Basu, S. and J. Fernald (1997), “Returns to scale in U.S. production: Estimates and implications”, Journal of Political Economy, 105, 249-283.
Basu, S. and J. Fernald (2000), “Why is productivity procyclical? Why do we care?”, Federal Reserve Bank of Chicago Working Paper 2000-11.
Bernoulli, Daniel. 1738. "Specimen Theoriae Novae de Mensura Sortis," Commentarii Academiae Scientiarum Imperialis Petropolitanae, 5, 175-192. English translation in 1954 Econometrica, 22, 23-36.
Baumol, W. and Benhabib, J. (1989) ‘Chaos: Significance, Mechanism and Economic Applications, Journal of Economic Perspectives, Vol. 3(1): 77-105.
Bernanke, Ben S. “Alternative Explanations of the Money-Income Correlation,” Carnegie-Rochester Conference Series on Public Policy, vol. 25 (Autumn 1986), pp. 49–99.
Box, G. E. P. and Jenkins, G. M. (1970), Time Series Analysis, Holden-day, San-Francisco.
Brock, W., Dechert, W. and Scheinkman, J. (1987) A Test for Independence Based on the Correlation Dimension, University of Wisconsin, Madison, University of Houston and University of Chicago.
Canova, Fabio (1993) ‘Modelling and Forecasting Exchange Rates with Bayesian Time Varying Coefficient Model’, Journal of Economics Dynamic and Control, Vol. 17: 233-261.
Canova, Fabio (1995) ‘Vector Autoregression Models: Sppecification, Estimation, Inference and Forecasting’ in Pesaran, M. Hashem and M. R. Wickens, Handbook of Applied Econometrics: Macroeconomics. Oxford UK and Cambridge USA: Blackwell: 73-138.
Canova, Fabio and Dellas, H. (1993), ‘Trade Interdependence and International Business Cycles’, Journal of International Economics, Vol. 34: 23-47.
Chan, K. S. and Tong, H. (1986) ‘On Estimating thresholds in Autoregressive models’, Journal of Time Series Analysis, Vol. 7: 178-190.
Chappell, D., Padmore, J., Mistry, P., and Ellis, C. (1996) ‘A Threshold Model for the French Franc/Deutschmark Exchange Rate’, Journal of Forecasting Vol. 15: 155-164.
Christiano, L. and Eichenbaum, M. (1992) ‘Current Real Business Cycle Thgeories and Aggregate Labour Market Fluctuations’, American Economic Review, Vol. 82: 430-450.
Clarida, R., J. Gali and M. Gertler (1999), “The science of monetary policy: A new Keynesian perspective”, Journal of Economic Literature, 37, 1661-1707.
Clarida, R., J. Gali and M. Gertler (2000), “Monetary policy rules and macroeconomic stability: Evidence and some theory”, Quarterly Journal of Economics, 115, 147-180.
Clements, M. P. and Mizon, G. E. (1991), ‘Empirical Analysis of Macroeconomic Time Series: VAR and Structural Models’, European Economic Review, Vol. 35: 887-917.
Cooley, Thomas F., and Stephen F. Leroy. (1985) “Atheoretical Macroeconometrics: A Critique,” Journal of Monetary Economics, vol. 16 (June), pp. 283–308.
Daniel R. (1988) ‘Methodenstreit’ in The New Palgrave A Dictionary of Economics, Vol 3: 454-455 (Reprint). London: The Macmillan Press Limited.
Debreu, Gerard (1987) ‘Mathematical Economics’ in The New Palgrave A Dictionary of Economics, Vol 3. Macmillan, London: 399-404.
Debreu, Gerard (1990) ‘The Mathematization of Economic Theory’ Presidential address delivered at the one-hundred third meeting of the American Economic Association December 29, 1990, Washington, DC. Published in the American Economic Review March 1991, Vol.81, No.1: 1-7.
Diebold F. X. (1998) ‘The Past, Present and Future of Macroeconomic Forecasting’, Journal of Economic Perspectives, Vol. 12, No. 2.
Dotsey, M., R. King, and A. Wolman (1999), “State dependent pricing and the general equilibrium dynamics of money and output”, Quarterly Journal of Economics, 114, 655-690.
Enders, W. and Granger, C.W.J. (1998) Unit-Root Tests and Asymmetric Adjustment with an Example using the Term Structure of Interest rates’ Journal of Business and economic Statistics, Vol. 16: 304-311.
Engle, R.F., and Granger, C.W.J. (1987), ‘Cointegration and Error Correction: Representation, Estimation and Testing’, Econometrica, 55(2): 251-276.
Engle, Robert F., Hendry, David F. and Richard, Jean-François. (1983) “Exogeneity,” Econometrica 51(2), 277-304.
Fair, R.C. (1979) ‘An Analysis of a Macroeconometric Model with rational expectations in the Bond and Stock Markets’, American Economic Review, Vol. 69: 539-552. Fusfeld,
Faust, Jon and Charles H. Whiteman. (1995) “Commentary [on Grayham E. Mizon ‘Progressive Modeling of Macroeconomic Times Series: The LSE Methodology’],” in Hoover, Kevin D. (ed.) (1995c) Fine, T.L. (1999) Feedforward Neural Network Methodology, Berlin: Springler-Verlag. Haggan, V. and Ozaki, T. (1981) Modelling Nonlinear Random Vibrations Using an Amplitude-dependent Autoregressive Time Series Model’, Biometrika, Vol. 68: 189-196.
Flood Merrill M. (1952), Some Experimental Games, in "Research Memorandum", n. 789, RAND Corporation.
Flood Merrill M. (1958), Some Experimental Games, in "Management Science", n. 5, pp. 5-26.
Friedman M. (1953), Essays in Positive Economics, The University Press, Chicago. Friedman, D. and Sunder, S. (1994) Experimental Methods: A Primer for Economists, Cambridge University Press, Cambridge.
Friedman M. and Wallis W.A. (1942), The Empirical Derivation of Indifference Functions, in Lange O., McIntyre F. and Yntema T.O. (eds), Mathematical Economics and Econometrics. Studies in memory of Henry Schultz, Chicago University Press, Chicago, pp.175-189.
Frisch, R (1933) Editorial, Econometrica Vol. 1 (1): 1-4.
Gardner H. (1985), The Mind’s New Science, New York, Basic Books.
Gleick, James (1987) Chaos: Making a New Science, New York: Viking Lorenz, H.W. (1989) Nonlinear Dynamical Economics and Chaotic Motion, Lecture Notes in Economics and Mathematical Systems, #334, New York: Springer-Verlag.
Granger, C.W.J. (1969), ‘Investigating Causal Relations by Econometric Models and Cross-Spectral Methods’, Econometrica, 37: 424-438.
Granger, C.W.J. (1981), ‘Some Properties of Time Series Data and Their Use in Econometric Model Specification’, Journal of econometrics, 16(1): 121-130.
Granger, C.W.J. and Newbold, P. (1974),’Spurious Regressions in Econometrics’, Journal of Econometrics 2: 111-120. Gregory, Allan W. and Gregor W. Smith. (1991) “Calibration as Testing: Inference in Simulated Macroeconomic Models,” Journal of Business and Economic Statistics 9(3), 297-303. Gregory, Allan W. and Gregor W. Smith (1993). “Statistical Aspects of Calibration in Macroeconomics,” in G.S. Maddala, C.R. Rao and H.D. Vinod (eds.) Handbook of Statistics, vol. 11. Amsterdam: North Holland, 1993, 703-719. Gurney, A. (1990) ‘Fiscal Policy Simulations Using Forward-Looking Exchange rates in GEM’, National Institute economic Review, Vol. 131: 47-50.
Haavelmo, Trygve (1944) ‘The Probability Approach in Econometrics’ Supplement to Econometrica, Vol. 12: 12-39. (Reprinted in Hendry and Morgan 1995: 440-453).
Hamilton, J.D. (1989) ‘A New Approach to the Economic Analysis of Nonstationary Time series and the Business cycle’, Econometrica, Vol. 57: 357-384.
Hands, D. Wade (2001) Reflection Without Rules: Economic Methodology and Contemporary Science Theory, Cambridge: Cambridge University Press.
Hansen, Lars Peter and Thomas J. Sargent. (1980) “Formulating and Estimating Dynamic Linear Rational Expectations Models,” in Robert E. Lucas, Jr. and Thomas J. Sargent (eds.) Rational Expectations and Econometric Practice. London: George Allen & Unwin, 1981. Hartley, James E., Kevin D. Hoover and Kevin D. Salyer. (1997) “The Limits of Business Cycle Research: Assessing the Real Business Cycle Model,” Oxford Review of Economic Policy 13(3), 34-54. Hartley, James E., Kevin D. Hoover and Kevin D. Salyer, editors. (1998) Real Business Cycles: A Reader. London: Routledge. Hatanaka, M. (1975) ‘On the Global Identification of the Dynamic Simultaneous Equation Model with Stationary Disturbances’, International Economic Review, Vol. 16: 545-554.
Hausman, Daniel M. (1992) The Inexact and Separate Science of Economics, Cambridge: Cambridge University Press.
Hayek F. (1952), The Sensory Order. An Inquiry into the Foundations of Theoretical Psychology, Routledge-Kegan Paul, London.
Haykin, S. (1999) Neural Networks: A Comprehensive Foundation 2nd Edn., Upper Saddle River, NJ: Prentice Hall.
Hendry, David F. (1988) “Encompassing,” National Institute Economic Review, Vol. 125 (1), August: 88-92. Hendry, D. (1990), Lectures on Econometric Methodology, Oxford: Oxford University Press.
Hendry, David F. (1995) Dynamic Econometrics. Oxford: Oxford University Press. Hendry, D. and Mizon, G. E. (1990), ‘Evaluating Dynamic Econometric Models by Encompassing the VAR’ in P. C. B. Phillips and V. B. Hall (eds), Models, Methods and Applications of Econometrics. Essays in the Honour of Rex Bergstrom, Oxford: Oxford University Press.
Hendry, David F. and Morgan, Mary S. (1995) The Foundations of Econometric Analysis. Cambridge: Cambridge University Press.
Hendry, David F. and Krolzig, Hans-Martin (1999) “Improving on ‘Data Mining Reconsidered’ by K.D. Hoover and S.J. Perez,” Econometrics Journal, 2(2), 202-218. Hoover, Kevin D. (1994a) “Six Queries about Idealization in an Empirical Context,” Poznan Studies in the Philosophy of the Sciences and the Humanities, 38, 43-53. Hoover, Kevin D. (ed.) (1995c) Macroeconometrics: Developments, Tensions, and Prospects. Dordrecht: Kluwer. Hoover, Kevin D. and Stephen J. Perez. (1999) “Data Mining Reconsidered: Encompassing and the General-to-Specific Approach to Specification Search,” Econometrics Journal 2(2), 167-191. Hoover, Kevin D. and Stephen J. Perez. (2004) “Truth and Robustness in Cross Country Growth Regressions,” Oxford Bulletin of Economics and Statistics 66(5), 765-798. Holland, P.W. (1986), ‘Statistics and Causal Inference’, Journal of the American Statistical Association, 81: 945-960.
Holtz-Eakin, D. (1989), ‘Testing for Individual Effects in Autoregressive Models’, Journal of Econometrics, Vol. 39: 297-307.
Hsiao, C. (1981), ‘Autoregressive Modelling and Money-Income Causality Detection’, Journal of Monetary economics, Vol. 7: 85-106.
Hsiao (1982) ‘Autoregressive Modelling and Causal Ordering of Economic Variables’, Journal of Economic Dynamics and Control’, Vol. 4: 243-259.
Jevons, WS (1871) The Theory of Political Economy, London: Macmillan.
Johansen, L. (1960) A Multi-Sectoral Study of Economic Growth, Amsterdam: North Holland. Johansen, S. (1988), ‘Statistical Analysis of Cointegration Vectors’, Journal of Economic Dynamics and Control, 12: 231-254.
Johansen, S. and Juselius, K. (1990), ‘Maximum Likelihood Estimation and Inference on Cointegration – with Application to the Demand for Money’, Oxford Bulletin of Economics and Statistics, 52: 169-210.
Kahneman D. and Tversky A. (1979), Prospect Theory: An Analysis of Decision under Risk, in "Econometrica", n. 47, pp. 263-91.
Keynes, J. N. (1891) The Scope and Method of Political Economy. London: Macmillan.
Keynes, J. M. (1939) ‘Review of Professor Tinbergen’s Method, Vol. 1’ Economic Journal, Vol. 49: 558-568.
Kim K. and Pagan, A.R. (1995) ‘The Econometric Analysis of calibrated Macroeconomic Models’, in Pesaran, M. Hashem and Wickens, M.R. (eds.) Handbook of Applied Econometrics: Macroeconomics, Oxford UK and Cambridge US: Blackwell. Krager, H. and Kugler, P. (1993) Nonlinearities in Foreign Exchange Markets: A Different Perspective’, Journal of International Money and Finance, Vol. 12: 195-208.
Krolzig, Hans-Martin and David F. Hendry. (2001) “Computer Automation of General-to-Specific Model Selection Procedures,” Journal of Economic Dynamics and Control. 25(6-7), 831-66. Kydland, Finn E. and Edward C. Prescott. (1991) “The Econometrics of the General Equilibrium Approach to Business Cycles,” Scandinavian Journal of Economics, 93(2), 161-78. Kydland, Finn E. and Edward C. Prescott (1982), ‘Time to Build and Aggregate Fluctuations’, Econometrics, Vol. 50: 1345-1370. LeBaron, B. (1992) ‘Some Relationships between Volatility and Serial correlations in Stock Market returns’, Journal of Business Vol 65: 199-219.
Leland J.W. (1998), Decision Making by Similarity: Toward a Theory of Anomalies, working paper, The National Science Foundation, Arlington.
Leontief, WW (1971) ‘Theoretical assumptions and Non-observed Facts’ American Economic Review, Vol. 61 (March): 1-7.
Litterman, R (1986a) ‘Forecasting with Bayesian Vector Autoregressions – Five Years of Experience’, Journal of Business and Economic Statistics, Vol. 4: 25-38.
Litterman, R (1986b) ‘Specifying Vector Autoregressions for Macroeconomic Forecasting’, in Goel, P and Zellner, A (eds.) Bayesian Inference and Decision Techniques, Amsterdam: North-Holland.
Lovell, Michael C. (1983) “Data Mining,” The Review of Economics and Statistics, 65(1), 1-12. Lucas, R. E. (1976), ‘Econometric Policy Evaluation: A Critique’ in K. Brunner and A. H. Meltzer (eds.), ‘The Philips Curve and Labour Markets’, Journal of Monetary Economics, Supplement, Special Issue, Vol. 1: 19-46.
Mansur, Ahsan and John Whalley. (1984) “Numerical Specification of Applied General-Equilibrium Models: Estimation, Calibration, and Data,” in Herbert E. Scarf and John B. Shoven (eds.) Applied General Equilibrium Analysis. Cambridge: Cambridge University Press. Masson, P.R., Symansky, S., Haas, R. and Dooley, M. (1988) ‘Multimod: A Multi Region Econometric Model’, Working Paper No. 88/23, IMF, Washington, DC.
McGrattan, E.B. (1991) The Macroeconomic Effects of Distortionary Taxation, Discussion Paper No. 37, Institute for Empirical Macroeconomics, Federal Reserve bank of Minneapolis.
Mill, John Stuart (1874). ‘On the Definition of Political economy: and on the Method of Investigation Proper to it’. In Essays on Some Unsettled Questions of Political Economy, 2nd ed. London: Longmans, Green, Reader & Dyer [Augustus M. Kelley reprint 1968, 1st ed. 1844].
Minford, A.P.L., Marwaha, S., Mathews, K. and Sprague, A. (1984) ‘The Liverpool Macroeconomic Model of the United Kingdom’, Economic Modelling, Vol. 1: 24-62.
Mizon, G. E. (1984), ‘The Encompassing Approach in Econometrics’, in D.E. Hendry and K.F. Wallis (eds.) Econometrics and Quantitative Economics, Oxford: Blackwell: 135-172. Mizon, Grayham E. (1995) “Progressive Modelling of Economic Time Series: The LSE Methodology,” in Hoover (1995c), pp. 107-170. Moore, Hendry Ludwell (1908) ‘The Statistical Complement of Pure Economics’, Quarterly Journal of Economics, Vol. 23: 1-33. Moore, Hendry Ludwell (1914) Economic Cycles – Their Law and Cause, New York: Macmillan.
Moore, Hendry Ludwell (1923) Generating Economic Cycles, New York: Macmillan.
Morgan Mary S. (1990) The History of Econometric Ideas, Cambridge: Cambridge University Press.
Morgan, Mary S. (1991), ‘The Stamping out of Process Analysis in Econometrics’ in de Marchi N. and Blaug M. (eds.) Appraising Economic Theories: Studies in the Methodology of Research Programs, Aldershot: Edward Elgar. Mosteller, F. and Nogee, P. 1951. "An Experimental Measurement of Utility," Journal of Political Economy, 59, 371-404. Nicholls, D. F. and Quinn, B. G. (1982), Random Coefficient Autoregressive Models: An Introduction. New York: Springer Verlag.
Nickelsburg, G. and Ohanian, L. (1987), ‘VAR Priors and Economic Theory’, Papers and Proceedings: Business and Economic Section of the American Statistical Association: 423-426.
Pagan, A.R. (1989), ‘20 Years After: Econometrics 1966 – 1986’, in B. Cornet and H. Tulkens (eds.), Contributions to Operations Research and Econometrics, The MIT Press, Cambridge, MA.
Parisi D. (1991), Cognitivismo-connessionismo e il legame micro-macro, in Conte R. (a cura di), La norma. Mente e regolazione sociale, Editori Riuniti, Roma.
Persons, W. M. (1910) The Correlation of Economic Statistics. Journal of the American Statistical Association, Vol 12: 289-317 (Reprinted in Hendry and Morgan (1995: 130-140).
Prescott, Edward C. (1986) ‘Theory Ahead of Business Cycle Measurement,’ in Karl Brunner and Allan Meltzer, (eds.), Real Business Cycles, Real Exchange Rates and Actual Policies, Carnegie-Rochester Conference Series on Public Policy, vol. 25 (Fall 1986), pp. 11-44.
Redman, Deborah A. (1997) The Rise of Political Economy as a Science. Cambridge, MA: MIT Press.
Ritzel, G. (1951) Schmoller versus Menger. Offenbach: Bollwerk-Verlag. Samuelson P. – Nordhaus W.D. (1985), Principles of Economics, XII ed., McGraw-Hill, New York.
Rizzello S. (1997) L’economia della mente, Laterza, Roma; Eng. transl. The Economics of the Mind, E. Elgar, Adelrshot, 1999.
Rotemberg, J. and M. Woodford (1997), “An optimization-based econometric framework for the evaluation of monetary policy”, NBER Macroeconomics Annual, 12, 297-346.
Sargent, T. (1977), “The demand for money during hyperinflations under rational expectations”, International Economic Review, 18, 59-92.
Sargent, T. (1978), “Estimation of dynamic labor demand schedules under rational expectations”, Journal of Political Economy, 86, 1009-1044.
Sargent, T. (1979), “A note on maximum likelihood estimation of the rational expectations model of the term structure”, Journal of Monetary Economics, 5, 133-143.
Sims, C. (1972) ‘Money, Income and Causality’, American Economic Review, 62: 540-552.
Smets, F. and R. Wouters (2003), “An estimated dynamic stochastic general equilibrium model of the Euro area”, Journal of the European Economic Association, 1, 1123-1175.
Stigler, Stephen M. (1999). Statistics on the Table. Cambridge, Mass.: Harvard University Press.
Terasvirta, T. (1994) ‘Specification, Estimation and Evaluation of Smooth Transition Autoregressive Models’ Journal of the American Statistical Association, Vol.
Terna P. (1992), Artificial Economic Agents, in "SPIE", 1709, pp. 1003-14.
Terna P. (1995), Reti neurali artificiali e modelli con agenti adattivi, in "Rivista italiana di economia", n. 0, pp. 71-106.
Thurstone L.L. (1931), The Indifference Functions, in "Journal of Social Psychology", n. 2, pp. 139-167.
Todd, R (1984) ‘Improving Economic Forecasting with Bayesian Vector Autoregression’, Quarterly Review, Federal Reserve Bank of Minneapolis, Vol. 8 (Fall): 18-29.
Tong, H. (1990) Nonlinear Time series: A Dynamical System Approach, Oxford: Oxford University Press.
von Neumann J. and Morgenstern O. (1944), Theory of Games and Economic Behavior, Princeton University Press, Princeton.
White, H. (1989) ‘Some asymptotic Results for Learning in Single Hidden Layer Feedforward Network Models’, Journal of the American Statistical Association, Vol. 84: 1003-1013.
Wiener, N. (1956),’The Theory of Prediction’, in E.F. Beckenback (ed.), Modern Mathematics for Engineers, McGraw-Hill, New York ,pp. 165-190.
Yule, G. U. (1926). ‘Why do we get Nonsense-correlations between time series? – A Study in sampling and the Nature of Time series’. Journal of Royal Statistical Society, Vol. 89: 1 – 64. (Reprinted in Hendry and Morgan 1995: 141-158).
Zellner, A. (1979), ‘Causality and Econometrics’, Carnegie-Rochester Conference Series 10, K. Brunner and A.H. Meltzer, (eds.), North Holland Publishing Company, Amsterdam, pp. 9-50.