Abstract
In this paper we attempt to evaluate the methodological status of the DMMS. We try to answer the question whether there is either a modest basis for an objective theory appraisal and theory choice or whether we have to be content with a subjective and conventional evaluation or whether perhaps methodological anarchism is the pure source of innovative science.
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Keywords
- Methodological Status
- Model Selection Procedure
- Logical Empiricism
- Microsimulation Model
- Theory Appraisal
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References
Blaug, M. (1980) The Methodology of Economics or how Economists explain. Cambridge, London, New York, Sydney.
Boland, L.A. (1982) The Foundations of Economic Method. London. Boston, Sydney.
Bryant, R.C., Henderson, D.W., et al. (eds.) (1988) Empirical Macroeconomics for Interdependent Economies. Washington.
Bryant, R.C., Holtham, F., and Hooper, P. (1988) Consensus and Diversity in the Model Simulations. Bryant, R. C., Henderson, D. W., et al. (eds.), Empirical Macroeconomics for Interdependent Economies. Washington, pp. 27–62.
Caldwell, B.J. (1982) Beyond Positivism, Economic Methodology in the Twentieth Century. London, Boston, Sydney.
Caldwell, B. J. (1991) Clarifiying Popper. Journal of Economic Literature, XXIX, pp. 1–33.
Carnap, R.(1959) The Elimination of Metaphysics through Logical Analysis of Language. Ayer, A. J. (ed.), Logical Positivism. Glencoe, Ill., pp. 60–81.
Carnap, R., and Jeffrey, R.C. (eds.)(1971) Studies in Inductive Logic and Probability. Berkeley.
Darnell, A.C., and Evans, J.L. (1990) The Limits of Econometrics. Aldershot. Brookfield.
Engle, R.F., and Granger, C.W.J. (1987) Cointegrations and Error Correction. Representation, Estimation, Testing. Econometrica, 55, pp. 251–276.
Feyerabend, P.K. (1983) Wider den Methodenzwang. Skizze einer anarchistischen Erkenntnistheorie. Frankfurt.
Granger, C.W.J. (1992) Evaluating economic theory. Journal of Econometrics, 51, pp. 3–5.
Greenwald, B.C., and Stiglitz, J.E. (1988) Examining Alternative Macroeconomic Theories. Brookings Papers on Economic Activity, pp. 207–260.
Güldner, M. (1992) Das Nachfragemodul im Mikrosimulator Unternehmenssektor — Modellkonstruktion, Probleme und Lösungsansätze. Dissertation, Technical University Darmstadt
Hansen, G. (1993) Quantitative Wirtschaftsforschung, München.
Heike, H.-D., Beckmann, K., Fleck, C., and Ritz, H. (1994) The Darmstadt Micro Macro Simulator: GSOEP — Consistency Check and Data Modelling. Vierteljahreshefte zur Wirtschaftsforschung, Heft 1/2, pp. 139–144.
Heike, H.-D., Beckmann, K., Kaufmann, A. and Sauerbier, T. (1994) Der Darmstädter Mikro–Makro-Simulator: Modellierung, Software Architektur und Optimierung. Faulbaum, F. (ed.), Soft Stat’93, Advances in Statistical Software 4. Stuttgart, New York, pp. 161–170.
Heike, H.-D., Beckmann, K., and Ritz, H. (1993) The Development of a Micro Macro Simulator in a4 GL Environment. Paper presented at the IARIW-Conference on “Microsimulation and Public Policy” , Canberra, Australia. Paper No. 80 of the Institute of Economics, Technical University Darmstadt.
Heike, H.-D., Hellwig, O. and Kaufmann, A. (1988) Der Darmstädter Pseudomikrosimulator, Modellansatz und Realisierung” . Angewandte Informatik, pp. 9–17.
Heike, H.-D., Hellwig, O. and Kaufmann, A. (1988a) Das Darmstädter Mikrosimulationsmodell — Uberblick und erste Ergebnisse. Allgemeines Statistisches Archiv, 72, pp. 109–129.
Heike, H.-D., and Kade, G. (1968) Methodologische Probleme makroökonomischer Theorien. Konjunkturpolitik, 14, pp. 291–374.
Heike, H.-D., and Kaufmann, A. (1987) Charakterisierung und Vergleich des Sfb 3 und des Darmstädter Mikrosimulators. Angewandte Informatik, pp. 9–17.
Heike, H.-D. and Krupp, H.-J. (1972) Die Ökonometrie verbindet Theorie und Empirie. Molitor, R. (ed.) Kontaktstudium Okonomie und Gesellschaft, Frankfurt, pp. 128–133.
Hendry, D.F. (1979) Predictive Failure and Econometric Modelling in Macroeconomics: The Transactions Demand for Money. Ormerod, P., ed., Economic Modelling London pp. 217–242.
Hendry, D.H., and Richard, J.F. (1982) On the Formulation of Empirical Models in Dynamic Econometrics. Journal of Econometrics, 20, pp. 3–33.
Kaufmann, A. (1988) Systematische Entwicklung von Mikrosimulationssoftware. Dissertation, Technical University Darmstadt.
Kastrop, C. (1993) Rationale Ökonomik, Überlegungen zu den Kriterien der Okonorischen Theoriendynamik, Berlin.
Kuhn, T.S. (1970) The Structure of Scientific Revolution. 2nd. Enlarged Edition. Chicago.
Kuhn, T.S. (1977) The Essential Tension, Chicago.
Lakatos, I., (1978) The Methodology of Scientific Research Programmes. Vol. 1 of His Philosophical Papers. Edited by Worrall, J. and Currie, F., Cambridge.
Leamer, E.E. (1978) Specification Searches. Ad hoc Inference with Nonexperimental Data. New York, Toronto.
Nagel, E. (1961) The Structure of Science: Problems in the Logic of Scientific Explanation. New York.
Park, Y. and Phillips, P. C. B. (1988) Statistical Inference in Regression with Integrated Processes; Part 1. Econometric Theory, 4, pp. 468–497.
Popper, K.R. (1965) Conjectures and Refutations, 2nd ed., London.
Popper, K.R. (1976) Logik der Forschung, 6. Auflage, Tübingen.
Popper, K.R. (1984) Objektive Erkenntnis, 4. Auflage, Hamburg.
Redman, D.A. (1991) Economics and the Philosophy of Science. New York, Oxford, Toronto, Melbourne.
Sims, C.A. (1993) A Nine-Variable Probabilistic Macroeconomic Forecasting Model. Stock, J. H. and Watson, M. W. ed., Business Cycles, Indicators and Forecasting. Chicago, London, pp. 179–212.
Sims, C.A. (1988) Identifying Policy Effects. Bryant, R. C., Henderson, D. W., et al. (eds.), Empirical Macroeconomics for Interdependent Economies. Washington, pp. 305–321.
Sims, C.A. (1980) Macroeconomics and Reality. Econometrica, 48, pp. 1–48.
Stock, J.H., and Watson, M.W. (eds.) (1993) Business Cycles, Indicators, and Forecasting. Chicago, London.
Zarnowitz, V., and Braun, P., (1993) Twenty-two Years of the NBER-ASA Quarterly Economic Outlook Surveys: Aspects and Comparisons of Forecasting Performance. Stock, J. H., Watson, M. W. ed., Business Cycles, Indicators and Forecasting. Chicago, London, pp. 11–93.
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Heike, HD. (1996). Some Thoughts on the Methodological Status of the Darmstadt Micro Macro Simulator (DMMS). In: Hegselmann, R., Mueller, U., Troitzsch, K.G. (eds) Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View. Theory and Decision Library, vol 23. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8686-3_7
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