Abstract
There is an undeniable disconnect between theory-heavy economics and the real world, and some cross polination of ideas with econophysics, which is more balanced between data and models, might help economics along the way to become a truly scientific enterprise. With the coming of the era of Big Data, this transformation of economics into a data-driven science is becoming more urgent. In this article, I use the story of Kepler's discovery of his three laws of planetary motion to enlarge the framework of the scientific approach, from one that focuses on experimental sciences, to one that accommodates observational sciences, and further to one that embraces data mining and machine learning. I distinguish between the ontological values of Kepler's Laws vis-a-vis Newton's Laws, and argue that the latter is more fundamental because it is able to explain the former. I then argue that the fundamental laws of economics lie not in mathematical equations, but in models of adaptive economic agents. With this shift in mind set, it becomes possible to think about how interactions between agents can lead to the emergence of multiple stable states and critical transitions, and complex adaptive policies and regulations that might actually work in the real world. Finally, I discuss how Big Data, exploratory agent-based modeling, and predictive agent-based modeling can come together in a unified framework to make economics a true science.
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References
B. Gower, Scientific Method: A Historical and Philosophical Introduction (Routledge, New York, USA, 1997)
H.G. Gauch, Jr., Scientific Method in Practice (Cambridge University Press, Cambridge, UK, 2003)
S.S. Carey, A Beginner‗s Guide to Scientific Method, 4th edn. (Wadsworth, Boston, USA, 2011)
M. Duncan, T. Quinn, S. Tremaine, Astron. J. 94, 1330 (1987)
W.G. Wesley, J. Hist. Astron. 9, 42 (1978)
B.G. Malkiel, E.F. Fama, J. Finance 25, 383 (1970)
R. Cont, Quant. Finance 1, 223 (2001)
S.L. Heston, R.A. Korajczyk, R. Sadka, J. Finance 65, 1369 (2010)
J.M. Poterba, L.H. Summers, J. Finance Econ. 22, 27 (1988)
A.W. Lo, M.T. Mueller, Warning: physics envy may be hazardous to your wealth!, arXiv:http://arxiv.org/abs/1003.2688 [q-fin.RM] (2010)
M.W. Macy, R. Willer, Annu. Rev. Sociol. 28, 143 (2002)
E. Bonabeau, Proc. Natl. Acad. Sci. U.S.A. 99, 7280 (2002)
S.F. Railsback, S.L. Lytinen, S.K. Jackson, Simul. 82, 609 (2006)
L. An, Ecological Model. 229, 25 (2012)
J.D. Farmer, D. Foley, Nature 460, 685 (2009)
R.G. Palmer, W.B. Arthur, J.H. Holland, B. LeBaron, P. Tayler, Physica A 75, 264 (1994)
P. Petratis, Multiple Stable States in Natural Ecosystems (Oxford University Press, Oxford, UK, 2013)
W.F. Lloyd, Two Lectures on the Checks on Population (Oxford University Press, Oxford, UK, 1833)
R.M. May, Nature 269, 471 (1977)
I. Noy-Meir, J. Ecology 63, 459 (1975)
P. Petratis, Mar Ecol. Prog. Ser. 413, 189 (2010)
A.G. Haldane, R.M. May, Nature 469, 351 (2011)
S. Battiston, J.D. Farmer, A. Flache, D. Garlaschelli, A.G. Haldane, H. Heesterbeek, C. Hommes, C. Jaeger, R. May, M. Scheffer, Science 351, 818 (2016)
D. Ruelle, Elements of Differentiable Dynamics and Bifurcation Theory (Academic Press, San Diego, USA, 1989)
J.K. Hale, H. Kocak, Dynamics and Bifurcation (Springer-Verlag, New York, USA, 1991)
M. Demazure, Bifurcations and Catastrophes: Geometry of Solutions to Nonlinear Problems (Springer-Verlag, Berlin, Heidelberg, Germany, 2000)
J.M. Yeomans, Statistical Mechanics of Phase Transitions (Oxford University Press, Oxford, UK, 1992)
H.E. Stanley, Introduction to Phase Transitions and Critical Phenomena (Oxford University Press, Oxford, UK, 1971)
N. Goldenfeld, Lectures on Phase Transitions and the Renormalization Group (Addison-Wesley, Reading, USA, 1992)
H. Nishimori, G. Ortiz, Elements of Phase Transitions and Critical Phenomena (Oxford University Press, Oxford, UK, 2011)
M. Scheffer, J. Bascompte, W.A. Brock, V. Brovkin, S.R. Carpenter, V. Dakos, H. Held, E.H. van Nes, M. Rietkerk, G. Sugihara, Nature 461, 53 (2009)
M. Scheffer, S.R. Carpenter, T.M. Lenton, J. Bascompte, W. Brock, V. Dakos, J. van de Koppel, I.A. van de Leemput, S.A. Levin, E.H. van Nes, M. Pascual, J. Vandermeer, Science 338, 344 (2012)
P.L.J. Tan, S.A. Cheong, Eur. Phys. J. B 87, 38 (2014)
M. Scheffer, S.H. Hosper, M.-L. Meijer, B. Moss, E. Jeppesen, Trends Ecol. Evol. 8, 275 (1993)
A. McAfee, E. Brynjolfsson, Harvard Business Review October 2012, 61 (2012)
S. Sagiroglu, D. Sinanc, Big Data: a review, in Proceedings of the 2013 International Conference on Collaboration Technologies and Systems (San Diego, USA, 2013), p. 42
M. Chen, S. Mao, Y. Liu, Mobile Netw. Appl. 19, 171 (2014)
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Cheong, S.A. Economics and econophysics in the era of Big Data. Eur. Phys. J. Spec. Top. 225, 3159–3170 (2016). https://doi.org/10.1140/epjst/e2016-60131-x
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DOI: https://doi.org/10.1140/epjst/e2016-60131-x