Behavioral economics is an interdisciplinary field of inquiry that incorporates insights from psychology to enrich standard economic models that assume perfectly rational individuals. Empirical research in behavioral economics typically employs incentivized experiments that use economic games with real money on the line. In these experiments, subjects are awarded financial payoffs based on the decisions they make (either individually or as part of a group) in an institutional context designed by the researcher. Behavioral economics is well suited for political science because behavioral economics is interdisciplinary by nature and political science is not bound by any particular research paradigm. At the same time, the method is still novel to many political scientists despite many years of its use to study political topics in a variety of research areas. What unites the application of the method to these areas is the explicit consideration of conflict. For instance, scholars have uncovered social conflict between groups (e.g., voter polarization in the United States) using behavioral games as measures, or they have designed experiments around elections to test theories of candidate and voter behavior. Because of the clear financial incentives, economic experiments are especially useful for studying people’s actual preferences in areas such as redistribution as opposed to their stated preferences. Finally, the method can be used to design institutions that will help overcome conflict over scarce resources. In sum, the strengths of behavioral economics include: (a) the ability to vary institutional contexts; (b) clear incentives that ensure valid measures of preferences; (c) direct measures of behaviors instead of stated intentions which could be confounded by outside pressures such as social desirability.
Alessandro Del Ponte, Reuben Kline, and John Ryan
Expected utility theory is widely used to formally model decisions in situations where outcomes are uncertain. As uncertainty is arguably commonplace in political decisions, being able to take that uncertainty into account is of great importance when building useful models and interpreting empirical results. Expected utility theory has provided possible explanations for a host of phenomena, from the failure of the median voter theorem to the making of vague campaign promises and the delegation of policymaking. A good expected utility model may provide alternative explanations for empirical phenomena and can structure reasoning about the effect of political actors’ goals, circumstances, and beliefs on their behavior. For example, expected utility theory shows that whether the median voter theorem can be expected to hold or not depends on candidates’ goals (office, policy, or vote seeking), and the nature of their uncertainty about voters. In this way expected utility theory can help empirical researchers derive hypotheses and guide them towards the data required to exclude alternative explanations. Expected utility has been especially successful in spatial voting models, but the range of topics to which it can be applied is far broader. Applications to pivotal voting or politicians’ redistribution decisions show this wider value. However, there is also a range of promising topics that have received ample attention from empirical researchers, but that have so far been largely ignored by theorists applying expected utility theory. Although expected utility theory has its limitations, more modern theories that build on the expected utility framework, such as prospect theory, can help overcome these limitations. Notably these extensions rely on the same modeling techniques as expected utility theory and can similarly elucidate the mechanisms that may explain empirical phenomena. This structured way of thinking about behavior under uncertainty is the main benefit provided by both expected utility theory and its extensions.
Scott H. Ainsworth
Rational choice theory builds from a very simple foundation. To wit: individuals are presumed to pursue goal-oriented behavior stemming from rational preferences. Rational choice theory benefits from the very precise formulations of its assumptions. Individual-level rationality is generally defined as having complete and transitive preferences. Both completeness and transitivity have precise, formal definitions. From complete and transitive preferences, one can develop utility function presentations reflecting those preferences. Utility functions have the advantage of establishing a measure and allowing one to assess attitudes toward risk. That is, utility functions can reflect risk acceptance, risk neutrality, or risk aversion. Although some rational choice theorists focus on individual-level decision making, most rational choice theorists consider the ways in which individuals’ decisions are aggregated into some sort of social outcome or social preference order. The aggregation of individuals’ preferences occurs in both social choice and game theoretic models. Arrow’s theorem is the best-known result in social choice theory. Arrow showed that the rationality of individuals’ preferences could not be readily preserved at the group level when those individuals’ preferences were aggregated. That is, individual-level rationality does not ensure group-level rationality. Put slightly differently, irrationality at the group level cannot impugn rationality at the individual level. Other examples highlighting the difficulty of aggregating individuals’ preferences into a collective outcome abound. For instance, game theoretic presentations of the collective action problem highlight how individually rational decisions can lead to suboptimal outcomes. Rational choice models have been used to model interactions in a wide array of political institutions. Rational choice models have been developed to tackle some of the most challenging concepts in the social sciences, even in areas long thought impenetrable to rational choice theorizing. For instance, concepts such as ideology or personal identification have typically been used as preestablished descriptors. In contrast to treating those concepts as extant descriptors, rational choice theorists have modeled the endogenous development of ideologies and personal identification. Given the complexity of social phenomena, the relative parsimony and the clarity of rational choice models can be particularly helpful. The usefulness of rational choice models stems from their parsimony and their applicability to a wide range of settings.
Damien Bol and Tom Verthé
People do not always vote for the party that they like the most. Sometimes, they choose to vote for another one because they want to maximize their influence on the outcome of the election. This behavior driven by strategic considerations is often labeled as “strategic voting.” It is opposed to “sincere voting,” which refers to the act of voting for one’s favorite party. Strategic voting can take different forms. It can consist in deserting a small party for a bigger one that has more chances of forming the government, or to the contrary, deserting a big party for a smaller one in order to send a signal to the political class. More importantly the strategies employed by voters differ across electoral systems. The presence of frequent government coalitions in proportional representation systems gives different opportunities, or ways, for people to influence the electoral outcome with their vote. In total, the literature identifies four main forms of strategic voting. Some of them are specific to some electoral systems; others apply to all.
Charles A. Miller
The “sunk costs fallacy” is a popular import into political science from organizational psychology and behavioral economics. The fallacy is classically defined as a situation in which decision-makers escalate commitment to an apparently failing project in order to “recoup” the costs they have already sunk into it. The phenomenon is often framed as a good example of how real decision-making departs from the assumption of forward-looking rationality which underpins traditional approaches to understanding politics. Researchers have proposed a number of different psychological drivers for the fallacy, such as cognitive dissonance reduction, and there is experimental and observational evidence that it accurately characterizes decision-making in certain contexts. However, there is significant skepticism about the fallacy in many social sciences, with critics arguing that there are better forward-looking rational explanations for decisions apparently driven by a desire to recoup sunk costs – among them reputational concerns, option values and agency problems. Critics have also noted that in practical situations sunk costs are informative both about decision makers’ intrinsic valuation for the issue and the prospects for success, making it hard to discern a separate role for sunk costs empirically. To address these concerns, empirical researchers have employed a number of strategies, especially leveraging natural experiments in certain non-political decision making contexts such as sports or business, in order to isolate the effects of sunk costs per se from other considerations. In doing so, they have found mixed support for the fallacy. Research has also shown that the prevalence of the sunk costs fallacy may be moderated by a number of factors, including the locus of decision-making, framing, and national context. These provide the basis for suggestions for future research.