Ekonomide Modeller ve Açıklamalar

Bu makale ekonomideki açıklamaların doğasını ve statüsünü ele almaktadır. Ekonomistler açıklama verirken ve öndeyide bulunurken temel olarak ekono-mik modelleri kullanırlar. Modeller Phillips makinesi gibi fiziksel temsiller şek-linde olabileceği gibi, çoğunlukla grafikler, diagramlar, matematiksel denklem-ler olarak ele alınırlar. Ekonomistlerin sıklıkla kullandığı modeller ise matema-tiksel olanlardır. Höristik, bilişsel, pragmatik rollerinin yanında açıklama verme işinde de modeller birçok farklı bilim pratiğinde yer tutmaya başlamıştır. Bu bağlamda bu makalade ekonomik açıklamalar, ekonomik modeller ve ekonomik modellerin doğasına ilişkin literatürde yer alan görüşleri inceleyerek ekonomist-lerin pratiğine odaklanıldığında ekonomik modellerin de fiili nedensel açıklama-lar verebildikleri ve ekonomideki açıklamaların diğer disiplinlerdeki açıklama-lardan tür değil derece olarak farklılaştıklarını göstermeyi amaçlıyorum.

Moels and Explanations in Economy

This article examines the nature and status of explanations provided by economics. In predicting and providing explanations, economists basically make use of models. Although models can be thought of as physical representa-tions such as the Phillips Machine, more often than not they are taken to be graphics, diagrams, and mathematical equations. Frequently economists use mathematical models. Apart from their heuristic, cognitive, and pragmatical roles, models loom large in providing explanations in many of the scientific practices. Accordingly, in this article, by taking into consideration the views currently on offer regarding the economic models, my purpose is to show that when focusing the economist’s practice, it could be seen that economic models at least sometimes can provide us with actual explanations and these explana-tions differ from those found in other disciplines, not in kind but degree.

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  • Alexandrova, A. & Northcott, R. (2013). It’s Just a Feeling: Why Economic Mo-dels Do Not Explain. Journal of Economic Methodology, 20 (3), 262-267.
  • Alexandrova, A. (2006). Connecting Models to the Real World: Game Theory in Action. (PhD Thesis). San Diego: University of California. Alexandrova, A. (2008). Making Models Count. Philosophy of Science, 75 (3), 383-404.
  • Aydınonat, N. E. & Köksal, E. (2019). Explanatory Value in Context: The Curious Case of Hotelling’s Location Model. The European Journal of the History of Economic Thought, 26 (1), 1-31.
  • Aydınonat, N. E. (2007). Models, Conjectures and Exploration: An Analysis of Schelling's Checkerboard Model of Residential Segregation. Journal of Eco-nomic Methodology, 14 (4), 429-454.
  • Begg, D. & Vernasca, G. & Fischer, S. & Dornbusch, R. (2011). Economics. New York: McGraw-Hill.
  • Bokulich, A. (2014). How the Tiger Bush Got Its Stripes: ‘How Possibly’ vs. ‘How Actually’ Model Explanations. The Monist, 97 (3), 321-338.
  • Boland, L. A (1989). The Methodology of Economic Model Building. London and New York: Routledge.
  • Brandon, R. N. (1990). Adaptation and Environment. Princeton: Princeton Univer-sity Press.
  • Cartwright, N. (1989). Nature’s Capacities and Their Measurement. Oxford: Claren-don Press.
  • Cartwright, N. (1998). Capacities. The Handbook of Economic Methodology. (Eds. J. B. Davis, D. W. Hands & U. Mäki). Cheltenham: Edgar Elgar, 45-48.
  • Cartwright, N. (1999). The Vanity of Rigour in Economics: Theoretical Models and Galilean Experiments. Centre for Philosophy of Natural and Social Science. Discussion Paper Series, 43/99.
  • Cartwright, N. (2009). If No Capacities Then No Credible Worlds, but Can Models Reveal Capacities? Erkenntnis, 70 (1), 45-58.
  • Craver, C. F. (2006). When Mechanistic Models Explain. Synthese, 153 (3), 355-376.
  • Cuffaro, M. E. (2015). How-Possibly Explanations in (Quantum) Computer Science. Philosophy of Science, 82 (5), 737-748.
  • Elgin, M. (2003). Biology and A Priori Laws. Philosophy of Science, 70 (5), 1380-1389.
  • Forber, P. (2010). Confirmation and Explaining How Possible. Studies in History and Philosophy of Biological and Biomedical Sciences, 41, 32-40.
  • Gibbard, A. Varian Hal.R. (1978). Economic Models. The Journal of Philosophy, Vol. 75, 664-677.
  • Giere, R. N. (1999). Science Without Laws. Chicago and London: The University of Chicago Press.
  • Grüne-Yanoff, T. (2009). Learning from Minimal Economic Models. Erkenntnis, 70 (1), 81-99.
  • Grüne-Yanoff, T. (2011). Isolation Is Not Characteristic of Models. International Studies in the Philosophy of Science, 25, 1-19.
  • Grüne-Yanoff, T. (2013a). Appraising Models Nonrepresentationally. Philosophy of Science, 80 (5), 850-861.
  • Hands, D. W. (2018). Hypothetical Pattern Explanations in Economic Science: Hayek’s Explanation of the Principle and Pattern Prediction Meets Con-temporary Philosophy of Science. A Symposium on Bruce Caldwell’s Beyond Po-sitivism After 35 Years (Research in the History of Economic Thought and Methodo-logy, Vol. 36A). Bingley: Emerald Publishing, 37-56.
  • Hardt, L. (2017). Economics Without Laws: Towards a New Philosophy of Economics. London: Palgrave Macmillan.
  • Hausman, D. (1992). The Inexact and Separate Science of Economics. Cambridge: Cambridge University Press.
  • Hempel, C. G. & Oppenheim, P. (1948). Studies in the Logic of Explanation. Philosophy of Science, 15, 135-175.
  • Hempel, C. G. (1965). Aspects of Scientific Explanation and Other Essays in the Philo-sophy of Science. New York: The Free Press.
  • Hotelling, H. (1929). Stability in Competition. The Economic Journal, 153, 41-57.
  • Katzner, D. W. (2017). Models, Mathematics, and Methodology in Economic Explana-tion. Cambridge: Cambridge University Press.
  • Knuuttila, T. (2009). Isolating Representations versus Credible Constructions? Economic Modeling in Theory and Practice. Erkenntnis, 70 (1), 59-80.
  • Knuuttila, T. (2011). Modeling and Representing: An Artefactual Approach. Stu-dies in History and Philosophy of Science, 42, 262-271.
  • Kuorikoski, J. & Lehtinen, A. & Marchionni, C. (2012). Robustness Analysis Disclaimer: Please Read the Manual Before Use! Biology and Philosophy, 27 (6), 891-902.
  • Little, D. (1995). On the Reliability of Economic Models: Essays in the Philosophy of Economic. Dordrecht: Springer.
  • Mäki, U. (1992). On the Method of Isolation in Economics. Poznan Studies in the Philosophy of the Sciences and the Humanities, 26, 317-351.
  • Mäki, U. (1994). Isolation, Idealization and Truth in Economics. Poznan Studies in the Philosophy of the Sciences and the Humanities, 38, 147-168.
  • Mäki, U. (1997). Pragmatic Laws. Philosophy of Science, 64, 468-479.
  • Mäki, U. (2000). Dimensions of Scientific Law. Philosophy of Science, 67, 242-265.
  • Mäki, U. (2004). Theoretical Isolation and Explanatory Progress: Transaction Cost Economics and the Dynamics of Dispute. Cambridge Journal of Econo-mics, 28 (3), 319-346.
  • Mäki, U. (2005). Models are Experiments, Experiments are Models. Journal of Economic Journal of Economic Methodology, 12 (2), 303-315.
  • Mäki, U. (2009). Realistic Realism about Unrealistic Models. The Oxford Hand-book of Philosophy of Economics. (Eds. H. Kincaid & D. Ross). Oxford and New York: Oxford University Press, 68-98.
  • Mäki, U. (2009a). Missing the World: Models as Isolations and Credible Surroga-te Systems. Erkenntnis, 70 (1), 29-43.
  • Mäki, U. (2009b). Models and Truth: The Functional Decomposition Approach. EPSA Epistemology and Methodology of Science: Launch of the European Philosophy of Science Association. (Eds. M. Suarez & M. Dorato & M. Redei). Dordrecht: Springer, 177-187.
  • Mäki, U. (2011). Models and the Locus of their Truth. Synthese, 180 (1), 47-63.
  • Marchionni, C. (2013). Playing with Networks: How Economists Explain. Euro-pean Journal for Philosophy of Science, 3 (3), 331-352.
  • Morgan, M. (2005). Experiments Versus Models: New Phenomena, Inference and Surprise. Journal of Economic Methodology, 12 (2), 317-329.
  • Morgan, M. (2012). The World in the Model: How Economists Work and Think. Camb-ridge: Cambridge University Press.
  • Morgan, M. S. & Knuuttila, T. (2012). Models and Modelling in Economics. Philo-sophy of Economics. (Ed. U. Mäki). Amsterdam: Elsevier B.V., 49-87).
  • Morrison, M. (1999). Models as Autonomous Agents. Models as Mediators: Perspec-tives on Natural and Social Science. (Eds. M. S. Morgan & M. Morrison). Camb-ridge: Cambridge University Press, 38-65.
  • Odenbaugh, J. & Alexandrova, A. (2011) Buyer Beware: Robustness Analyses in Economics and Biology. Biology and Philosophy, 26, 757-771.
  • Pearson, C. (2018). How-Possibly Explanation in Biology: Lessons from Wilhelm His’s ‘Simple Experiments’ Models. Philosophy, Theory, and Practice in Biology, 10 (4), 1-15.
  • Persson, J. (2012). Three Conceptions of Explaining How Possibly – and One Reductive Account. EPSA Philosophy of Science. (Eds. H. W. de Regt & S. Hartmann & S. Okasha). Dordrecht: Springer, 275-286.
  • Plutynski, A. (2002). Explanation in Classical Population Genetics. Philosophy of Science, 71 (5), 1201-1214.
  • Plutynski, A. (2005). Explanatory Unification and the Early Synthesis. British Journal for the Philosophy of Science, 56, 595-609.
  • Popper, K. (1974). Intellectual Autobiography. The Philosophy of Karl Popper. (Ed. P. A. Schlipp). La Salle: The Open Court Publishing, 3-185.
  • Reiss, J. (2012). The Explanation Paradox. Journal of Economic Methodology, 19 (1), 43-62.
  • Reiss, J. (2013). Philosophy of Economics: A Contemporay Introduction. New York: Routledge.
  • Reiss, J. (2013). The Explanation Paradox Redux. Journal of Economic Methodology, 20 (3), 280-292.
  • Resnik, D. B. (1991). How-Possibly Explanations in Biology. Acta Biotheoretica, 39 (2), 141-149.
  • Reutlinger, A. D. & Hangleiter, D. & Hartmann, S. (2018). Understanding with (Toy) Models. The British Journal for the Philosophy of Science, 69 (4), 1069-1099.
  • Reydon, T. A. (2012). How-Possibly Explanations as Genuine Explanations and Helpful Heuristics: A Comment on Forber. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, 43 (1), 302-310.
  • Rice, C. C. (2016). Factive Scientific Understanding without Accurate Represen-tation. Biology & Philosophy, 31, 81-102.
  • Rohwer, Y. & Rice, C. (2013), Hypothetical Pattern Idealization and Explanatory Models. Philosophy of Science, 80, 334-355.
  • Rosenberg, A. (2006). Darwinian Reductionism: Or How to Stop Worrying and Love Molecular Biology. Chicago: The University of Chicago Press.
  • Salmon, W. (1971). Statistical Explanation and Statistical Relevance. Pittsburgh: Uni-versity of Pittsburgh Press.
  • Salmon, W. (1984). Scientific Explanation and the Causal Structure of the World. Prin-ceton: Princeton University Press.
  • Salmon, W. (1989). Scientific Explanation. Minnesota Studies in the Philosophy of Science, vol. 13. (Eds. W. Salmon & P. Kitcher). Minneapolis: University of Minnesota Press, 101-116.
  • Samuelson, P. A. & Nordhaus, W. (2010). Economics. New York: McGraw-Hill.
  • Sober, E. (1984). The Nature of Selection: Evolutionary Theory in Philosophical Focus. Chicago and London: The University of Chicago Press.
  • Sober, E. (1997). Two Outbreaks of Lawness in Recent Philosophy of Biology. Philosophy of Science, 64 (4), 458-467.
  • Sugden, R. (2000). Credible Worlds: The Status of Theoretical Models in Eco-nomics. Journal of Economic Methodology, 7 (1), 1-31.
  • Sugden, R. (2009). Credible Worlds, Capacities and Mechanisms. Erkenntnis, 70 (1), 3-27.
  • Sugden, R. (2013). How Fictional Accounts Can Explain. Journal of Economic Met-hodology, 20 (3), 237-243.
  • Suppes, P. (1960). A Comparison of the Meaning and Uses of Models in Mathe-matics and the Empirical Sciences. Synthese, 12 (2-3): 287-301.
  • Van Fraassen, B. C. (1989). Laws and Symmetry. New York: Oxford University Press.
  • Verreault-Julien, P. (2017). Non-Causal Understanding with Economic Models: The Case of General Equilibrium. Journal of Economic Methodology, 24 (3), 297-317.
  • Verreault-Julien, P. (2019). How Could Models Possibly Provide How-Possibly Explanations? Studies in the History and Philosophy of Science, 73, 1-12.
  • Woodward, J. (2000). Explanation and Invariance in the Special Sciences. British Journal British Journal for the Philosophy of Science, 51, 197-254.
  • Woodward, J. (2001). Law and Explanation in Biology: Invariance is the Kind of Stability That Matters. Philosophy of Science, 68, 1-20.
  • Woodward, J. (2003). Making Things Happen: A Theory of Causal Explanation. Ox-ford: Oxford University Press.
  • Woodward, J. (2017). Scientific Explanation. The Stanford Encyclopedia of Philo-sophy. (Fall 2017 Edition). (Ed. E. N. Zalta, https://plato.stanford.edu/archives/fall2017/entries/scientific-explanation.
  • Ylikoski P. & Aydınonat, N. E. (2014). Understanding with Theoretical Models. Journal of Economic Methodology, 21 (1), 19-36. https://t24.com.tr/haber/3-ay-once-12-liraya-satilan-maske-simdi-52-lira,868155.