Cass R. Sunstein

Bio: Cass R. Sunstein is an academic researcher from Harvard University. The author has contributed to research in topics: Supreme court & Constitution. The author has an hindex of 117, co-authored 787 publications receiving 57639 citations. Previous affiliations of Cass R. Sunstein include Brigham Young University & Indiana University.

The Limits of Quantification

Abstract: The problem of nonquantifiability is a recurrent one in both public policy and ordinary life. Much of the time, we cannot quantify the benefits of potential courses of action, or the costs, or both, and we must nonetheless decided whether and how to proceed. Under existing Executive Orders, agencies are generally required to quantify both benefits and costs, and (to the extent permitted by law) to show that the former justify the latter. But agencies are also permitted to consider apparently nonquantifiable factors, such as human dignity and fairness, and also to consider factors that are not quantifiable because of the limits of existing knowledge. When quantification is impossible, agencies should engage in “breakeven analysis,” by which they explore how high the nonquantifiable benefits would have to be in order for the benefits to justify the costs. Breakeven analysis can be used and potentially disciplined in three different ways. (1) Sometimes agencies are able to identity lower or upper bounds, either through point estimates or through an assessment of expected value. (2) Agencies can often make progress by exploring comparison cases in which relevant values have already been assigned (such as for a statistical life). (3) When agencies cannot identify lower or upper bounds, and when helpful comparisons are unavailable, breakeven analysis requires agencies to identify what information is missing and to specify the conditions under which benefits would justify costs (“conditional justification”). In admittedly rare cases, regulators, no less than individuals, might have to “pick” or instead to “opt.”

Statist Quo Bias

Abstract: At first blush, Thaler and Sunstein seem to be proposing that voluntarily helping people to overcome or cope with their rash, ignorant, impulsive selves be called “libertarian paternalism.†Such semantics would only cause confusion and introduce new terminology for things already well served by ordinary language. Upon closer reading, however, we find that they maintain an unconventional distinction between coercive and non-coercive (or voluntary) action, while never making clear how they distinguish coercive from non-coercive action. I suggest that “libertarian paternalism†is really a depredation upon the very distinction between coercive and voluntary action.

Switching the Default Rule

Abstract: There is a standard analysis of default rules in contract law, including those forms of contract law that fall under the label of employment law. But behavioral economics raises many complications. The default rule can create an endowment effect, making employees value certain rights more simply because they have been granted such rights in the first instance. Similarly, the default rule for savings plans, set by employers or law, seems to have a large effect on employee behavior. When the default rule affects preferences and behavior, conventional economic analysis seems indeterminate; either default rule can be efficient. In employment law, analysis of distributive consequences also suggests the difficulty of deciding which default rule to favor, because any switch in the rule is unlikely to have significant redistributive effects. Nonetheless, switching the default rule can, in certain circumstances, have desirable effects on workers’ welfare. A central question is whether the stickiness of the default rule reflects a genuine change in values, or instead employee confusion or bargaining strategy.

Pattern Recognition and Machine Learning

Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

The behaviour change wheel: a new method for characterising and designing behaviour change interventions.

Abstract: Improving the design and implementation of evidence-based practice depends on successful behaviour change interventions. This requires an appropriate method for characterising interventions and linking them to an analysis of the targeted behaviour. There exists a plethora of frameworks of behaviour change interventions, but it is not clear how well they serve this purpose. This paper evaluates these frameworks, and develops and evaluates a new framework aimed at overcoming their limitations. A systematic search of electronic databases and consultation with behaviour change experts were used to identify frameworks of behaviour change interventions. These were evaluated according to three criteria: comprehensiveness, coherence, and a clear link to an overarching model of behaviour. A new framework was developed to meet these criteria. The reliability with which it could be applied was examined in two domains of behaviour change: tobacco control and obesity. Nineteen frameworks were identified covering nine intervention functions and seven policy categories that could enable those interventions. None of the frameworks reviewed covered the full range of intervention functions or policies, and only a minority met the criteria of coherence or linkage to a model of behaviour. At the centre of a proposed new framework is a 'behaviour system' involving three essential conditions: capability, opportunity, and motivation (what we term the 'COM-B system'). This forms the hub of a 'behaviour change wheel' (BCW) around which are positioned the nine intervention functions aimed at addressing deficits in one or more of these conditions; around this are placed seven categories of policy that could enable those interventions to occur. The BCW was used reliably to characterise interventions within the English Department of Health's 2010 tobacco control strategy and the National Institute of Health and Clinical Excellence's guidance on reducing obesity. Interventions and policies to change behaviour can be usefully characterised by means of a BCW comprising: a 'behaviour system' at the hub, encircled by intervention functions and then by policy categories. Research is needed to establish how far the BCW can lead to more efficient design of effective interventions.

International Norm Dynamics and Political Change

Abstract: Norms have never been absent from the study of international politics, but the sweeping “ideational turn” in the 1980s and 1990s brought them back as a central theoretical concern in the field. Much theorizing about norms has focused on how they create social structure, standards of appropriateness, and stability in international politics. Recent empirical research on norms, in contrast, has examined their role in creating political change, but change processes have been less well-theorized. We induce from this research a variety of theoretical arguments and testable hypotheses about the role of norms in political change. We argue that norms evolve in a three-stage “life cycle” of emergence, “norm cascades,” and internalization, and that each stage is governed by different motives, mechanisms, and behavioral logics. We also highlight the rational and strategic nature of many social construction processes and argue that theoretical progress will only be made by placing attention on the connections between norms and rationality rather than by opposing the two.

Risk as Feelings

Abstract: Virtually all current theories of choice under risk or uncertainty are cognitive and consequentialist. They assume that people assess the desirability and likelihood of possible outcomes of choice alternatives and integrate this information through some type of expectation-based calculus to arrive at decision. The authors propose an alternative theoretical perspective, the risk-as-feelings hypothesis, that highlights the role of affect experienced at the moment of decision making. Drawing on research from clinical, physiological, and other subfield of psychology, they show that emotional reactions to risky situations often drive behavior. The risk-as-feelings hypothesis is shown to explain a wide range of phenomena that have resisted interpretation in cognitive-consequentialist terms.

A perspective on judgment and choice: Mapping bounded rationality.

Abstract: Early studies of intuitive judgment and decision making conducted with the late Amos Tversky are reviewed in the context of two related concepts: an analysis of accessibility, the ease with which thoughts come to mind; a distinction between effortless intuition and deliberate reasoning. Intuitive thoughts, like percepts, are highly accessible. Determinants and consequences of accessibility help explain the central results of prospect theory, framing effects, the heuristic process of attribute substitution, and the characteristic biases that result from the substitution of nonextensional for extensional attributes. Variations in the accessibility of rules explain the occasional corrections of intuitive judgments. The study of biases is compatible with a view of intuitive thinking and decision making as generally skilled and successful.