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Author's personal copy Journal of Economic Psychology 31 (2010) 51–54

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Behavioral economics: A methodological note Amitai Etzioni * The George Washington University, 2130 H Street, NW, Suite 703, Washington, DC 20052, USA

a r t i c l e

i n f o

Article history: Received 4 February 2009 Received in revised form 29 September 2009 Accepted 30 September 2009 Available online 6 October 2009

a b s t r a c t When a theory faces a set of facts that are not compatible with its key assumptions, there are several ways it might respond. In response to the challenge posed by behavioral economics, neoclassical economics has attempted numerous different approaches. After briefly reviewing these responses, this paper turns to argue in favor of one of them. Ó 2009 Elsevier B.V. All rights reserved.

JEL classification: D03 PsycINFO classification: 3900 Keywords: Behavioral economics Neoclassical economics Economic theory Rational behavior Economic methodology

When a theory faces facts that are not compatible with its key assumptions, there are several options concerning the ways it might respond. All of these are being applied in response to the challenge posed by behavioral economics (BE) to neoclassical economics. After briefly reviewing these responses, I turn to argue in favor of one of them. One response is to treat BE findings as marginal. Tim Harford, writing in the Financial Times, reports that many economists hold that BE ‘‘merely illuminates some fascinating but relatively minor foibles”. He adds that he has ‘‘long been persuaded that the evidence shows that we are fundamentally rational creatures when it comes to most decisions that really matter” (2008). Many of the key findings of BE are, however, are difficult to minimize because they show that people have congenital cognitive limitations evident in numerous choice situations. Several economists argue that even if many individuals act in ways which seem to conflict with the rational, utility-maximizing assumptions – in aggregate, they act as if they were optimizers. For instance, Gary Becker argues: ‘‘It doesn’t matter if 90% of people can’t do the complex analysis required to calculate probabilities. The 10% of people who can, will end up in the jobs where it’s required” (quoted Stewart, 2005). Becker however provides no data to demonstrate that 10% (or even 1%) of economic actors are optimizers, or that the markets in aggregate act rationally, as opposed to, for instance, gyrating between periods of irrational exuberance and greed, and irrational fear and panic (Shiller, 2005). A different response relaxes the criteria that define rationality. This response takes several forms:

* Tel.: +1 202 994 8190; fax: +1 202 994 1606. E-mail address: [email protected]. 0167-4870/$ - see front matter Ó 2009 Elsevier B.V. All rights reserved. doi:10.1016/j.joep.2009.09.004

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(a) Some use tautologies, employing the same item of behavior to both reveal the preferences of the actor and the optimal way to serve them. Thus neoclassical economists have argued that if a person who never drank wine – and had no intention of drinking wine – suddenly purchased a bottle of wine, this must have been a rational choice – because otherwise why would he have bought it? (Tagliacozzo, cited by Kirzner, 1976: 169–170). Others argue that when a person chooses to become a criminal, he ‘must have’ weighed the pros and cons and made a rational decision that being a criminal was the optimal choice (Andreano & Siegfried, 1980; Becker, 1968; Murray, 1984: 168; Rubin, 1980: 13). Nobel Laureate George Stigler (1966) pointed out, ‘‘a reason. . .can always be found for whatever we observe man to do” which ‘‘turn[s] utility into a tautology” (57). This approach violates a basic tenet of science, that propositions are to formulated in ways that they can be falsified. (b) In contrast, the introduction of the concept of information costs is much more productive. When the expected costs of obtaining and processing information outweigh the expected utility to be derived from said information, it is rational to stop seeking or processing more information, even if this leads one to act without all the relevant facts – to act ‘irrationally’, so to speak (Downs, 1957, chap. 11–13; Stigler, 1961). From a BE viewpoint, the key empirical question is whether people can correctly (i.e. rationally) assess the costs and benefits of information they have not yet collected or processed (Elster, 1986: 25–26). The findings of BE lead one to wonder if this is possible. (c) A third way neoclassical economics attempts to reframe the irrational as rational is by suggesting that people use heuristics as a kind of prefabricated rationality. They spare people the need to absorb and process information and hence, it is suggested, allow them to optimize despite cognitive limitations. As far as I can determine, no one collected a random sample of heuristics and showed that most, a majority, or even a fraction of them lead to rational behavior or that their selection does not suffer from the same cognitive difficulties other processing of information reveals. The questions raised about information costs also apply here; how is a person to determine which heuristic is the right one to follow? Yet another way to attempt to reconcile the findings of BE with neoclassical economic theory is to define down that which is entailed by being rational. Herbert Simon utilized the concept of ‘bounded rationality’ explicitly to hold that although it seems that people’s choices are irrational, they actually act rationally – because they intended to act rationally. ‘‘Bounded rationality is not irrationality”, Simon writes. ‘‘On the contrary, I think there is plenty of evidence that people are generally quite rational; that is to say, they usually have reasons for what they do” (1985: 297). Others used the term to suggest that people acted rationally because they used all the information available to them (Cipriani & Guarino, 2008: 48). As I see it, these deliberations suggest that it is very fruitful to think about rationality not as a dichotomous but as a continuous variable. Hence, one can refer to degrees of rationality. If one seeks to draw on BE merely to show that the optimization model is not valid, a dichotomous variable may suffices. However, if one is to develop another model, degrees become significant. First, they allow one to express the key finding that most people in many situations are not merely short of optimization by a few points, say 96% rational, but much closer to the other end of the continuum. Second, such a concept points to the merit of determine which factors increase the level of rationality of a person or a give group of people – training? education? modern culture? self control? – without presuming that anything can turn them into optimizers or even high level rational choosers.1 A colleague raise the following point: ‘‘The use of a one-dimensional continuum does not seem very satisfactory. It seems to entail putting different types of ‘subrational’ behaviors or beliefs on the same continuum. Eating a wafer and believing it is the flesh of some long dead character seems deeply ‘subrational’ in a very different way than, say, failing all three items on the Cognitive Reflection Test. Though both individuals would fail, by a large margin, the test of perfect rationality, their errors do not seem comparable”. This is a very well taken point. One should note in response that most of the studies I am reviewing and drawing on, in effect, use rationality as a one-dimensional concept. However, there is no reason in principle one could not use several dimensions (e.g. factual errors as distinct from beliefs that are inherently untestable). One could then either score each dimension or build an index. A much greater departure from the neoclassical model is implied by those who favor dividing the social world between realms of behavior that adhere to the laws of neoclassical economics and those that are governed by different rules. The study of preferences illustrates this approach. Neoclassical economics tend to assume that preferences are fixed and hence changes in behavior occur due to changes in income and prices (and other information). However, the precept that preferences are fixed is hard to defend, especially when one studies the education of children. Indeed, many neoclassical economists tend to portray economic man as a biological–psychological miracle, born fully formed, say in his mid twenties (Maital & Maital, 1984: 65) with his preferences ‘‘immaculately conceived”.2

1 Thaler (1991) in this context uses the term ‘‘quasi rational”, but regrettably implies that it means people are nearly optimizers, in his words ‘‘less than fully rational” (xviii) while, at the same time, he adds volumes of evidence to other B.E. studies that show that people are much nearer to being not rational than to being rational. 2 As Kenneth Boulding put it to a 1985 George Washington University Seminar on socio-economics.

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Moreover, the preferences of adults seem to remain in flux, due to social and cultural changes which affect their beliefs and feelings, as well as their selection of sources of information and the way it is processed, all in ways they are unaware of. Hence some economists suggested that studying preferences should be divided – with social sciences studying their formation, and then neoclassical economics taking them as given. For instance, Paul Samuelson suggested that economics leave the study of the ways in which preferences are formed for psychology and sociology (Samuelson, 1983: 90). Economics then can take them as given and fixed, and work from there on how people change their purchases and savings based on their income and prices, holding preferences constant. BE (and socio-economics) are thus said to apply but only to these exogenous areas. This approach implicitly assumes that the exogenous changes take place before the endogenous ones. For instance, it assumes that people’s preferences are shaped as they grow up and then they are ready to enter the market and choose which kind of work they seek, what to purchase and so on (Stigler & Becker, 1977). Actually, both kinds of changes – of preferences and of income and prices – take place at the same time and both affect behavior (for example, Stern (1984, 72) demonstrated the independent effects of values and prices in studies of energy consumption). Hence, when one compares behavior at two or more points in time, one needs to determine the mix of factors that drives the changes, and the extent to which these are due to changes in preferences (and in the forces that drive them) – or because of changes in income, prices and other such economic factors. Paradigm reformulation or shift? The challenge of BE is limited because of its focus on intra-individual capabilities, processes, and biases, and among those, mainly on cognitive factors.3 Most of the work concerning the effects of societal and cultural factors on choices has yet to be incorporated into BE. A good part of this work was and is carried out by sociologists and socio-economists, including Max Weber, Talcott Parsons, Amartya Sen, Albert O. Hirschman, Harvey Leibenstein, Neil Smelser, Viviana Zelizer, Paul Dimaggio, Wayne Baker, Victor Nee, and Amitai Etzioni, among others. In addition, there is room for adding considerations that deal with the kind of variables covered by macro-rather than by microeconomics. Neoclassical economists tend to assume that the main actors are individuals whose choices are aggregated, and in this way guide the economy. In contrast, a new paradigm might benefit from the assumption that individuals are not free-standing agents but members of multiple groups, and the attributes and dynamics of these groups greatly affect individual choices. Said group attributes and dynamics, in turn, are shaped by emergent macro-attributes of which the individuals are often unaware, and which are not subject to their deliberations. These attributes are shaped and reshaped by collective processes, such as social movements including religious and political ones, cultural changes (e.g. spread of consumerism as a core value); and structural ones (e.g. the effects of massive immigration). Hence, the study of individual choice requires a paradigm that will treat non-aggregated macro-variables (those not reducible to groupings of individual choices) as independent variables. Max Weber’s study comparing Protestantism to other religions to determine which preceded, and helps explain, the rise of capitalism, is still a sterling example of this approach. The issues raised by the fact that individuals are socially embedded are paralleled by the issues studied by macroeconomics. Neoclassical economists tend to treat the economy (or the market) as an entity that follows its own laws, somehow standing next to the state (or government) which occasionally injects itself into the economy. In contrast, markets can be viewed as sub-systems that are contextualized by states (and societies) that provide laws, institutions, and values that both contain and enable the functioning of the markets. The main difficulties faced by attempts to develop a new paradigm of choice are that thus far (a) the list of variables identified as involved is very extensive and (b) that no shared understanding has been evolved regarding which variables are to be included. As two leading economists put it, ‘‘given the wide array of psychological explanations from which to choose. . .research undertaking such a task has virtually unlimited freedom to explain any observed behavior ex post facto” (Levitt & List, 2008: 909–910). (c) Finally, there are no robust measurements for many of the variables that affect economic and other choice behavior, and the modeling of most is not well developed. In short, while numerous attempts have been made to develop a new paradigm, no one has been able to consolidate them into one overarching design – of the kind neoclassical economics has long provided. References Andreano, R., & Siegfried, J. J. (Eds.). (1980). The economics of crime. New York: John Wiley. Becker, G. S. (1968). Crime and punishment: An economic approach. Journal of Political Economics, 76, 169. Cipriani, M., & Guarino, A. (2008). Herd behavior and contagion in financial markets. The BE Journal of Economics, 8(1). Downs, A. (1957). An economic theory of democracy. New York: Harper. Elster, J. (1986). Rational choice. Oxford: Blackwell. Fehr, E., & Schmidt, K. M. (2004). In A theory of fairness, competition, and cooperation. Advances in behavioral economics. Princeton: Princeton University Press. Harford, T. (2008). The choice isn’t yours. Financial Times [February 23]. Kahneman, D. (2003). Maps of bounded rationality: Psychology for behavioral economics. American Economics Review, 93(5). Kahneman, D., Knetsch, J., & Thaler, R. (2004). Fairness as a constraint on profit seeking: Entitlements in the market. In Advances in behavioral economics (pp. 252–270). Princeton: Princeton University Press. Kirzner, I. M. (1976). In L. S. Moss (Ed.), The economic point of view. Kansas City: Sheed and Ward.

3 I use the term ‘‘focus” to note that BE has paid some attention to emotions, such as studies of loss aversion (Kahneman, 2003), and even some to social norms (Fehr & Schmidt, 2004; Kahnemen, Knetsch, & Thaler, 2004; Rabin, 1993).

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Levitt, S. D., & List, J. A. (2008). Homo economicus evolves. Science, 319(5865), 909–910. Maital, S., & Maital, S. L. (1984). Economic games people play. New York: Basic Books. Murray, C. (1984). Losing ground: American social policy 1950–1980. New York: Basic Books. Rabin, M. (1993). Incorporating fairness into game theory and economics. American Economic Review, 83(5), 1281–1302. Rubin, P. (1980). In R. Andreano & J. J. Siegfried (Eds.), The economics of crime. New York: John Wiley and Sons. Samuelson, P. A. (1983). Foundations of economic analysis (enlarged ed.). Cambridge, MA: Harvard University Press. Shiller, R. J. (2005). Irrational exuberance (2nd ed.). Princeton, New Jersey: Princeton University Press. Simon, H. (1985). Human nature in politics: The dialogue of psychology and political science. The American Political Science Review, 79(2), 293–304. Stern, P. C. (1984). Improving energy demand analysis. Washington, DC: National Academy Press. Stewart, S. A. (2005). Can behavioral economics save us from ourselves? University of Chicago magazine, 97 (3). . Stigler, G. J. (1961). The economics of information. Journal of Political Economy, 69, 213–225. Stigler, G. J. (1966). The theory of price (3rd ed.). New York: MacMillan. Stigler, G. J., & Becker, G. S. (1977). De Gustibus Non Est Disputandum. The American Economic Review, 67(2), 76–90. Thaler, R. (1991). Quasi-rational economics. New York: Russell Sage Foundation.