Abstract
This paper examines issues of ontology and methodology in behavioral economics: the attempt to increase the explanatory and predictive power of economic theory by providing it with more psychologically plausible foundations. Of special interest is the epistemological status of neoclassical economic theory within behavioral economics, the runaway success story of contemporary economics. Behavioral economists aspire to replace the fundamental assumptions of orthodox, neoclassical economic theory. Yet, behavioral economists have gone out of their way to praise those very assumptions. Matthew Rabin, for example, writes that behavioral economics “is not only built on the premise that [orthodox] economic methods are great, but also that most mainstream economic assumptions are great.” These apparently contradictory attitudes toward neoclassical theory raises the question of what, exactly, its epistemological status within behavioral economics is. This paper argues that the paradox can be resolved, and the question answered, by thinking of the epistemological status of neoclassical theory within behavioral economics in terms of Max Weber’s ideal types: analytical constructs that are not intended to be descriptively true of anything but which nevertheless can be used for a variety of theoretical purposes. The analysis is consistent with many of the insights from the philosophical literature on models in science and has important implications for the practice of economics—behavioral and neoclassical—as well as for the very nature of rationality.
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Notes
There are exceptions, of course, some of whom are cited below.
In spite of the break with orthodoxy, behavioral economics is still economics, as it remains, as Frank and Ben S. Bernanke express the canonical view, “the study of how people make choices under conditions of scarcity and of the results of those choices for society” (Frank and Bernanke 2004, p. 4).
Because the term “realism” is needlessly philosophically loaded, Mäki (1998) has proposed using the term “(psychological) realisticness” to refer to what I have called “(psychological) plausibility.” Since “realism” is the term favored by behavioral economists, however, it will appear frequently below.
Contemporary discussions tend to rely on examples such as that of a frictionless plane (e.g., Clarke 2001, p. 7143).
I thank an anonymous referee for helping me extend the metaphor.
Indeed, it has been argued that Weber’s main source of inspiration was the great Austrian economist Carl Menger (1840–1921). In the words of Fritz K. Ringer: “We know that [the concept of the ‘ideal type’] was at last partly inspired by Carl Menger, and that Weber persistently cited neoclassical economic theory to illustrate the uses of ‘ideal-typical’ construction” (Ringer 1997, p. 110).
Behavioral economists’ belief that people at least some of the time manage to act in accordance with the theory is reflected in their models; as we will see below, neoclassical theory is often preserved as a special case of behavioral theories.
Notice how Thaler writes that alternative models are only sometimes required, allowing for the fact that people’s behavior is frequently captured by orthodox theory.
This is not to say that behavioral economists accept the additional set of assumptions incorporated into the discounted-utility model as a normative standard for intertemporal choice, however; the situation in the case of dynamic choice is considerably more complicated.
For the special case of economics, see the thorough review by Morgan and Knuuttila (2012).
Identifying the conditions under which false models lead to truer theories, better explanations, and so on is an important philosophical project, which is unfortunately outside the scope of this paper.
Eric Schliesser notes that the affinity might not be coincidental, since Friedman’s teacher Frank Knight “was not merely the first American translator of Weber, but remained keenly and, perhaps, increasingly interested in Weber throughout his life” (Schliesser 2011, p. 534).
References
Alexandrova, A., & Haybron, D. M. (2012). High fidelity economics. In J. B. Davis & D. W. Hands (Eds.), The Elgar companion to recent economic methodology (pp. 94–117). Northampton: Edward Elgar. doi:10.4337/9780857938077.00010.
Angner, E. (2012). A course in behavioral economics. New York: Palgrave Macmillan.
Angner, E. (2013). Is empirical research relevant to philosophical conclusions? Res Philosophica, 90(3), 343–363. doi:10.11612/resphil.2013.90.3.4.
Angner, E., & Loewenstein, G. (2012). Behavioral economics. In U. Mäki (Ed.), Handbook of the philosophy of science: Philosophy of economics (pp. 641–690). Amsterdam: Elsevier. doi:10.1016/B978-0-444-51676-3.50022-1.
Brooks, D. (2008, October 28). The behavioral revolution. The New York Times, p. A31.
Camerer, C. F. (1999). Behavioral economics: Reunifying psychology and economics. Proceedings of the National Academy of Sciences of the United States of America, 96(19), 10575–10577. doi:10.1073/pnas.96.19.10575.
Camerer, C. F., Issacharoff, S., Loewenstein, G., O’Donoghue, T., & Rabin, M. (2003). Regulation for conservatives: Behavioral economics and the case for “asymmetric paternalism.” University of Pennsylvania Law Review, 151(3), 1211–1254. doi:10.2307/3312889.
Camerer, C. F., & Loewenstein, G. (2004). Behavioral economics: Past, present, future. In C. F. Camerer, G. Loewenstein, & M. Rabin (Eds.), Advances in behavioral economics (pp. 3–51). New York: Russell Sage Foundation.
Clarke, S. (2001). Idealization, abstraction, and ideal types. In N. J. Smelser & P. B. Baltes (Eds.), International encyclopedia of the social & behavioral sciences (pp. 7142–7148). Oxford: Pergamon. doi:10.1016/B0-08-043076-7/01013-5.
Diamond, P. A., & Vartiainen, H. (Eds.). (2007). Behavioral economics and its applications. Princeton: Princeton University Press.
Edgeworth, F. Y. (1881). Mathematical psychics: An essay on the application of mathematics to the moral sciences. London: C. Kegan Paul & Co.
Frank, R. H. (2011). The Darwin economy: Liberty, competition, and the common good (Paperback ed.). Princeton: Princeton University Press.
Frank, R. H., & Bernanke, B. S. (2004). Principles of micro-economics (2nd ed.). Boston: McGraw-Hill/Irwin.
Friedman, M. (1953). Essays in positive economics. Chicago: University of Chicago Press.
Frigg, R. (2009). Models and fiction. Synthese, 172(2), 251–268. doi:10.1007/s11229-009-9505-0.
Giere, R. N. (2004). How models are used to represent reality. Philosophy of Science, 71(5), 742–752. doi:10.1086/425063.
Gilad, B., & Kaish, S. (Eds.). (1986). Handbook of behavioral economics (Vols. 1–2). Greenwich: JAI Press.
Grether, D. M., & Plott, C. R. (1979). Economic theory of choice and the preference reversal phenomenon. The American Economic Review, 69(4), 623–638.
Griffin, J. (1986). Well-being: Its meaning, measurement, and moral importance. Oxford: Clarendon Press.
Heukelom, F. (2014). Behavioral economics: A history. New York: Cambridge University Press.
Kahneman, D. (2003a). A psychological perspective on economics. The American Economic Review, 93(2), 162–168. doi:10.1257/000282803321946985.
Kahneman, D. (2003b). Maps of bounded rationality: Psychology for behavioral economics. The American Economic Review, 93(5), 1449–1475. doi:10.1257/000282803322655392.
Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991). Anomalies: The endowment effect, loss aversion, and status quo bias. The Journal of Economic Perspectives, 5(1), 193–206. doi:10.1257/jep.5.1.193.
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. doi:10.2307/1914185.
Koopmans, T. C. (1957). Three essays on the state of economic science. New York: McGraw-Hill.
Laibman, D. (2001). Editorial perspectives: Of people, curves, and autism. Science & Society, 65(3), 277–285.
Lichtenstein, S., & Slovic, P. (1971). Reversals of preference between bids and choices in gambling decisions. Journal of Experimental Psychology, 89(1), 46–55. doi:10.1037/h0031207.
Loewenstein, G. (1996). Out of control: Visceral influences on behavior. Organizational Behavior and Human Decision Processes, 65(3), 272–292. doi:10.1006/obhd.1996.0028.
Mäki, U. (1998). Realisticness. In J. B. Davis, D. W. Hands, & U. Mäki (Eds.), The handbook of economic methodology (pp. 409–413). Northampton: Edward Elgar. doi:10.4337/9781781954249.00105.
Morgan, M. S., & Knuuttila, T. (2012). Models and modelling in economics. In U. Mäki (Ed.), Handbook of the philosophy of science: Philosophy of economics (pp. 49–87). Amsterdam: Elsevier. doi:10.1016/B978-0-444-51676-3.50003-8.
Quine, W. V. (1951). On Carnap’s views on ontology. Philosophical Studies, 2(5), 65–72. doi:10.1007/BF02199422.
Rabin, M. (1998). Psychology and economics. Journal of Economic Literature, 36(1), 11–46.
Rabin, M. (2002). A perspective on psychology and economics. European Economic Review, 46(4–5), 657–685. doi:10.1016/S0014-2921(01)00207-0.
Ringer, F. K. (1997). Max Weber’s methodology: The unification of the cultural and social sciences. Cambridge: Harvard University Press.
Ross, D. (2005). Economic theory and cognitive science: Microexplanation. Cambridge: MIT Press.
Samuelson, P. A. (1937). A note on measurement of utility. The Review of Economic Studies, 4(2), 155–161. doi:10.2307/2967612.
Savage, L. J. (1972). The foundations of statistics (2nd rev. ed.). New York: Dover Publications.
Schliesser, E. (2011). “Every system of scientific theory involves philosophical assumptions” (Talcott Parsons). The surprising Weberian roots to Milton Friedman’s methodology. In D. Dieks, W. J. Gonzalez, S. Hartmann, T. Uebel, & M. Weber (Eds.), Explanation, prediction, and confirmation (pp. 533–543). Dordrecht: Springer. doi:10.1007/978-94-007-1180-8_37.
Sent, E.-M. (2004). Behavioral economics: How psychology made its (limited) way back into economics. History of Political Economy, 36(4), 735–760. doi:10.1215/00182702-36-4-735.
Simon, H. A. (1987). Behavioural economics. In J. Eatwell, M. Milgate, & P. Newman (Eds.), The new Palgrave: A dictionary of economics (Vol. 1, pp. 221–225). London: Macmillan.
Slovic, P., Griffin, D., & Tversky, A. (1990). Compatibility effects in judgment and choice. In H. J. Einhorn & R. M. Hogarth (Eds.), Insights in decision making: A tribute to Hillel J. Einhorn (pp. 5–27). Chicago: University of Chicago Press.
Smith, A. (1976). An inquiry into the nature and causes of the wealth of nations. (E. Cannan, Ed.) (5th ed.). Chicago: University of Chicago Press.
Thagard, P. (2005). Mind: Introduction to cognitive science (2nd ed.). Cambridge: MIT Press.
Thaler, R. H. (1991). Quasi rational economics. New York: Russell Sage Foundation.
Thaler, R. H. (2000). From homo economicus to homo sapiens. The Journal of Economic Perspectives, 14(1), 133–141. doi:10.1257/jep.14.1.133.
Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131. doi:10.1126/science.185.4157.1124.
Tversky, A., & Kahneman, D. (1986). Rational choice and the framing of decisions. The Journal of Business, 59(4), S251–S278.
Tversky, A., & Kahneman, D. (1991). Loss aversion in riskless choice: A reference-dependent model. The Quarterly Journal of Economics, 106(4), 1039–1061. doi:10.2307/2937956.
Weber, M. (1949). “Objectivity” in social science and social policy. In E. Shils & H. A. Finch (Eds.), The methodology of the social sciences (pp. 50–112). Glencoe: Free Press.
Weber, M. (1958). The Protestant ethic and the spirit of capitalism. (T. Parsons, Trans.). New York: Scribner.
Weber, M. (1978). Economy and society: An outline of interpretive sociology. (G. Roth & C. Wittich, Eds.) (Vols. 1–2). Berkeley: University of California Press.
Weber, R. A., & Dawes, R. M. (2005). Behavioral economics. In N. J. Smelser & R. Swedberg (Eds.), The handbook of economic sociology (2nd ed., pp. 90–108). New York: Russell Sage Foundation.
Wimsatt, W. C. (1987). False models as means to truer theories. In M. H. Nitecki & A. Hoffman (Eds.), Neutral models in biology (pp. 23–55). New York: Oxford University Press.
Acknowledgments
I am grateful to Colin Bird, Jeroen Van Bouwel, Floris Heukelom, George Loewenstein, and two anonymous referees for constructive comments on earlier drafts. Errors remain my own.
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Angner, E. “To navigate safely in the vast sea of empirical facts”. Synthese 192, 3557–3575 (2015). https://doi.org/10.1007/s11229-014-0552-9
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DOI: https://doi.org/10.1007/s11229-014-0552-9