TOWARDS A NEW WAY OF TEACHING STATISTICS IN ECONOMICS: THE CASE FOR ECONOPHYSICS

Yıl 2015, Cilt: 4 Sayı: 3, 89 - 108, 01.09.2015

Çınla Akdere Christophe Schinckus

Öz

The selection of an appropriate way to measure data has long challenged economists. Analogies referring to scientific methods, concepts, and theories coming from the hard sciences (especially chemistry and physics) have repeatedly been used in economics since its earliest days. Today, the ambition of all university economics departments is to offer a thorough-going education in the discipline that is as scientific as possible. In fact, this is what has led academic institutions to incorporate mathematics and statistics courses into their economics departments. This statistics-based character of economics has been well documented in the literature, since it has literally shaped the “scientificity” widely promoted in the field: statistics provide an empiricist foundation to economics. This paper aims to further explore the influence of physics, in particular, on economics, focusing on the recent advent of “econophysics.” We contend that the emergence of this new sub-field should be regarded as a conceptual\theoretical benefit for those teaching statistics to economics students.

Anahtar Kelimeler

Econophysics, econometrics, teaching and statistics

Kaynakça

• Alstott J., E. Bullmore and D. Plenz, (2014), "Powerlaw: A Python Package for Analysis of Heavy-tailed Distributions," PloS one 9 (1): e85777.
• Amaral L., S. V. Buldyrev, S. Havlin, H. Leschhorn, P. Maass, M. A. Salinger, H. E. Stanley, and M. H. R. Stanley, (1997), "Scaling Behavior in Economics: I. Empirical Results for Company Growth," Journal de Physique I, Vol. 7, pp. 621-33.
• Aoyama, H., F. Yoshi, I. Yuichi, H. Iyetomi, and S. Wataru, (2011), Econophysics and Companies: Statistical Life and Death in Complex Business Networks. Cambridge: Cambridge University Press.
• Axtell, R., (2001), “Emergent Cities: Micro-foundations of Zipf’s law,” Science, Vol. 293, pp. 1818-20.
• Bak, P., M. Paczuski, and M. Shubik, (1997), “Price Variations in a Stock Market with Many Agents,” Physica A, Vol. 246, pp. 430-53.
• Becker, W., (1997), “Teaching Economics to Undergraduates,” Journal of Economic Literature, Vol. 35, No. 3, pp. 1347-73.
• Becker, W. and W. Greene, (2001), “Teaching Statistics and Econometrics to Undergraduates,” Journal of Economic Perspectives, Vol. 15 (4), pp.169-82.
• Blaug, M., (1992), The Methodology of Economics: Or How Economists Explain, Cambridge University Press, Cambridge.
• Bollerslev, T., (1986), "Generalized Autoregressive Conditional Heteroskedasticity," Journal of Econometrics, 31, pp. 307-27.
• Bouchaud, J. P., (2002), “An Introduction to Statistical Finance,” Physica A, Vol. 313, pp. 238-51.
• Brandouy, O., (2005), “Complexité et Phénomènes Critiques en Finance,” in D. Bourghelle, O. Brandouy, R. Gillet, and A. Orléan, (Eds.) Croyances, Représentations Collectives et Conventions en Finance, Economica, Paris.
• Dragulescu, A. and V. M. Yakovenko, (2001a), “Exponential and Power Law Probability: Distributions of Wealth and Income in the United Kingdom and the United States,” arXix: cond-mat/0103544v2.
• Dragulescu A. and V. M. Yakovenko, (2001b), “Evidence for the Exponential Distribution of Income in the USA,” The European Physical Journal B 20, pp. 585-89.
• Eeckhout, J., (2004), "Gibrat’s Law for (all) Cities," American Economic Review, Vol. 94 (1), pp. 1429-51.
• Engle, R., (1982), "Autoregressive Conditional Heteroskedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica 50, pp. 987-1007.
• Gabaix, X., (2009), "Power Laws in Economics and Finance," Annual Review of Economics, Annual Reviews, Vol. 1(1), pp. 255-94.
• Gabaix, X., (1999), "Zipf’s Law for Cities: An Explanation," Quarterly Journal of Economics, Vol. 114, pp. 739-67.
• Gabaix, X., P. Gopikrisnan, V. Plerou, and E. Stanley, (2003), "A Theory of Power Law Distributions in Financial Market Fluctuations," Nature, Vol. 423, pp. 267-70.
• Haavelmo, Trygve (1944) “The Probability Approach in Econometrics”, Econometrica, 12, Supplement.
• Ingrao, B. and G. Israel, (1990), The Invisible Hand: Economic Equilibrium in the History of Science, London, MIT Press.
• Jovanovic F. and C. Schinckus, (2017), Econophysics and Financial Economics: An Emerging Dialogue, New York, Oxford University Press.
• Jovanovic F. and C. Schinckus, (2013), "The History of Econophysics as a New Approach in Modern Financial Theory," History of Political Economy, Vol. 45 (3), pp. 443-74.
• Kahana, E. (2005), "The History of the Global Financial Crisis in the 20th century," Working Paper of the International Studies Association.
• Keita, D., (1982), Science, Rationality, and Neoclassical Economics, University of Delaware Press, Baltimore.
• Kim, Y., S. Rachev, M. Bianchi, and F. Fabozz, (2008), "Financial Market Models with Lévy Processes and Time-varying Volatility," Journal of Banking & Finance 32 (7), pp. 1363-78.
• Kitto, K., (2006), “Modeling and Generating Complex Emergent Behavior,” Ph.D. Thesis, University of South Australia.
• Klass, O., O, Biham, M. Levy, O. Malcai, and S. Solomon, (2006), "The Forbes 400 and the Pareto Wealth Distribution." Economics Letters, Vol. 90, pp. 90-95.
• Koopmans, T., (1947), “Measurement Without Theory,” Review of Economics and Statistics, Vol. 29, pp. 161-79. Kutner, R. and D. Grech, (2008), “Report on Foundation and Organization of Econophysics Graduate Courses at Faculty of Physics of University of Warsaw and Department of Physics and Astronomy of the Wroclaw University," Acta Physica Polonica A, Vol. 114, No. 3, pp. 637-47.
• Lallement, J. (2000), “Popper et le principe de rationalité,” Economies et Sociétés, 21 (10), pp. 25-40.
• Le Gall, P., (2002), "Les Représentations du Monde et les Pensées Analogiques des Economètres. Un Siècle de Modélisation en Perspective," Revue d'Histoire des Sciences Humaines, Vol. 6, pp. 39-64.
• Le Gall, P. (1999), "A World Ruled by Venus. On Henry L. Moore's Transfer of Periodogram Analysis from Physics to Economics," History of Political Economy 31 (4), pp. 723-52.
• Le Gall, P., (1994), "Histoire de l'Econométrie, 1914-1944. L'Erosion du Déterminisme," Doctoral dissertation, Université Paris I Panthéon-Sorbonne.
• Lévy, M. H., H. Lévy., and S. Solomon, (2000), Microscopic Simulation of Financial Markets: from Investor Behavior to Market Phenomena, San Diego, Academic Press.
• Lévy, M .H., H. Lévy, and S. Solomon, (1995), "Microscopic Simulation of the Stock Market: the Effect of Microscopic Diversity," Journal de Physique I, Vol. 5 (8), pp. 1087-1107.
• Luttmer, E., (2007), “Selection, Growth, and the Size Distribution of Firms," Quarterly Journal of Economics, Vol. 122, No. 3, pp. 1103-44.
• Lux, Th., (2009), "Applications of Statistical Physics to Finance and Economics" in Barkley Rosser (Ed.), Handbook of Research on Complexity, Cheltenham, Edward Elgar, pp. 213-58.
• Lux, Th., (2006), "Financial Power Laws: Empirical Evidence, Models, and Mechanism" in Claudio Cioffi-Revilla (Ed.), Power Laws in the Social Sciences: Discovering Complexity and Non-Equilibrium Dynamics in the Social Universe, Cambridge, Cambridge University Press.
• Maas, H., (2005), William Stanley Jevons and the Making of Modern Economics, New York and Cambridge, Cambridge University Press.
• Mandelbrot, B. (2004), The Misbehavior of Markets, Basic Books, New York.
• Mandelbrot, B., (1997), Fractals and Scaling Laws in Finance, New York, Springer Verlag.
• Mandelbrot, B., (1965), “Very long-tailed Probability Distributions and the Empirical Distribution of City Sizes” in b.Massarik, F. and Ratoosh P. (Eds.), Mathematical Explanations in Behavioral Science, New York, Homewood Editions, pp. 322-32.
• Mandelbrot, B., (1963), “The Variation of Certain Speculative Prices,” Journal of Business, Vol. 36 (4), pp. 394-419.
• Mantegna, R., (1991), “Lévy Walks and Enhanced Diffusion in the Milan Stock Exchange,” Physica A, Vol. 179 (1), pp. 232-42.
• Mantegna, R. and H. E. Stanley, (1994), "Stochastic Process with Ultra-Slow Convergence to a Gaussian: The Truncated Lévy Flight," Phys. Rev. Lett., No. 73, pp. 2946-49.
• Mantegna, R. and E. Stanley, (1999), An Introduction to Econophysics. Cambridge, Cambridge University Press.
• McCauley, J., (2006), “Response to ‘Worrying Trends in Econophysics,’ ” Physica A, 371, pp. 601-09.
• McCauley, J., (2004), Dynamics of Markets: Econophysics and Finance, Cambridge University Press, Cambridge.
• McNees S., (1979), "The Forecasting Record for the 1970s," New England Economic Review September/October, pp. 33-53.
• Mills, F., (1927), “The Behavior of Prices,” New York, National Bureau of Economic Research.
• Mirowski, P., (2012), “The Modern Commercialization of Science is a Passel of Ponzi Schemes,” Social Epistemology, Vol. 2 (2), pp. 1-7.
• Mirowski, P., (1996), “Do you know the way to Santa Fe? Or, Political Economy Gets More Complex” in S. Pressman (Ed.), Interaction in Political Economy: Malvern After Ten Years, New York, Routledge.
• Mirowski, P., (1994), “What are the Questions?” in Roger E. Backhouse (Ed.), New Directions in Economic Methodology, London, Routledge, pp. 50-74.
• Mirowski, P., (1989a), More Heat than Light: Economics as Social Physics, Physics as Nature's Economics, Cambridge, Cambridge University Press.
• Mirowski, P., (1989b), “The Probabilistic Counter-Revolution,” Oxford Economic Papers, Vol. 41, pp. 217-35.
• Mirowski, P., (1984), “Physics and the ‘Marginalist Revolution’ ”, Cambridge Journal of Economics, Vol. 8, pp. 361-79.
• Mongin, P., (2002), “Le Principe de Rationalité et L'unicité des Sciences Sociales,” Revue Economique, 53 (2), 301-23.
• Morgan, M., (1999), “Models of Mediating Instruments” in Mary S. Morgan and Margaret Morrison (Eds.), Models as Mediators: Perspectives on Natural and Social Science, Cambridge, Cambridge University Press, pp. 10-37.
• Morgan, M., (1990), The History of Econometric Ideas, Cambridge, Cambridge University Press.
• Neyman J. and Pearson E. (1928), “On the Use and Interpretation of Certain Test Criteria for Purposes of Statistical Inference: Part I,” Biometrika, Vol. 20, pp.175-240.
• O’Connor T. and H. Wong, (2000), “Emergent Properties,” Stanford Encyclopedia of Philosophy, <lato.stanford.edu/entries/properties-emergent/>.
• Pareto, V., (1897), Cours d’Economie Politique, University of Lausanne.
• Pearson, K. (1924), “Historical Note on the Origin of the Normal Curve of Errors," Biometrika, Vol. 16 (3-4), pp. 402-04.
• Qin D. and C. Gilbert, (2001), “The Error Term in the History of Time-Series Econometrics,” Econometric Theory, Vol. 17, No. 2, pp. 282-295.
• Rickles, D. (2007), “Econophysics for Philosophers,” Studies in History and Philosophy of Modern Physics, Vol. 38 (4), pp. 948-978.
• Rimmer R. and J. Nolan, (2005), "Stable Distributions in Mathematica," The Mathematica Journal 9 (4), pp. 776-789.
• Ross, S., (1991), Neoclassical Finance, Princeton University Press.
• Rosser, B. Jr., (2006), “The Nature and Future of Econophysics” in A. Chatterjee and B. Chakrabarti (Eds.), Econophysics of Stock and Other Markets, Milan, Springer, pp. 225-234.
• Rutherford, M., (2011), Institutionalist Movement in American Economics 1918-1947, New York, Cambridge University Press.
• Schinckus, C., (2016), “Hayek and the Use of Physics in Economics: Toward a Progressive Synthesis?”, Journal of Interdisciplinary Economics, forthcoming. Schinckus, C., (2013), “How do Econophysicists Make Stable Lévy Processes Physically Plausible,” Brazilian Journal of Physics, Vol. 43 (4), pp. 281-93.
• Schinckus, C., (2009), “Economic Uncertainty and Econophysics,” Physica A, Vol. 388, no 20, pp. 4414-4423.
• Sharpe, W., (1964), “Capital Asset Prices: A Theory of Market Equilibrium Under Conditions of Risk,” Journal of Finance, 19, 425-42.
• Shaikh A., N. Papanikolaou, and N. Wiener, (2014), “Race, Gender, and the Econophysics of Income Distribution in the USA”, Physica A: Statistical Mechanics and its Applications 415, pp. 54-60.
• Silva A.C. and V. M. Yakovenko, (2005), “Temporal Evolution of the ‘Thermal’ and ‘Superthermal’ Income Classes in the USA During 1983-2001,” Europhysics Letters.
• Vandewalle, N., P. Boveroux, A. Minguet, and M. Ausloos, (1998), “The Crash of October 1987 Seen as a Phase Transition: Amplitude and Universality,” Physica A 255, 201-210 (1998).
• Vining R., (1949), “Koopmans on the Choice of Variables to be Studied and of Methods of Measurement: A rejoinder,” Review of Economics and Statistics, 31, 9pp. 77-86; 91-4.
• Wang Y., W. Jinshan, and L. Di, (2004), Physics of Econophysics, Working paper, Normal University, Beijing, China.
• Yakovenko, V.M., (2008), “Econophysics, Statistical Mechanics Approach,”arXiv.org. URL http://EconPapers.repec.org/RePEc:arx:papers:0709.3662