A Framework for Behavioral Welfare Analysis

PI将把行为经济学的最新研究成果纳入福利经济学理论。近年来，对经济问题的心理学方法的兴趣越来越大，这主要是由于越来越多的证据表明，消费者决策的标准经济模型可能无法充分描述人类行为。 包含非标准成分的“行为”经济学理论（由心理学证据驱动）越来越多地进入政策评估，这不可避免地涉及经济学家所谓的“福利分析”（即对福祉的评估）。然而，这些新理论从根本上挑战了我们制定适当标准来判断结果是“好”还是“坏”的能力。如果与经济学的传统假设相反，个人的选择并不反映一致的偏好，那么这些选择如何为经济学家提供判断一个结果是否优于另一个结果的基础？该项目开发，应用和完善了一个统一的政策评估框架，其中包括新一代的行为经济理论。 这里发展的框架是标准福利经济学的自然延伸。 标准的方法是基于选择。 在最简单的形式中，它建议政策制定者尊重个人为自己做出的选择。 这种方法背后的指导原则是自由意志主义对选择自由的尊重的延伸，它认为最好给一个人他会为自己选择的东西，而不是别人会为他选择的东西。 这个项目的核心前提是，即使人们的行为方式与标准经济假设不一致，同样的原则仍然适用。 尽管人们的选择提供的指导在某些情况下可能是模糊的，但在其他情况下通常是明确的，这种部分模糊的指导可以为严格的政策评估提供基础。 该项目开发了一个政策评估的一般框架，并探讨其对特定行为理论的影响。 它还重新审视了公共政策的分类，采用经济学家在评估公共政策的可取性时通常使用的标准工具的概括。 这项工作的更广泛影响将直接来自其对制定评价公共政策的适当标准的重视。 以往的研究，采用非标准的行为模型在公共政策分析的背景下，一般依赖于特设的标准来评估不同的结果的相对可取性。本项目将重新审视其中许多政策问题，如资本所得税和社会保障的设计，以确定根据新框架的应用而得到严格证明的结论。 此外，这项工作使经济学，心理学和神经科学的更大整合成为可能。 具体来说，它允许经济学家使用任何行为模型进行严格的福利分析，包括从其他领域引入的模型，无论这些模型是否将行为描述为反映优化。

The PI will incorporate recent research results from behavioral economics into the theory of welfare economics. Interest in psychological approaches to economic questions has grown in recent years, stimulated largely by accumulating evidence that the standard economic model of consumer decision-making may provide an inadequate description of human behavior. "Behavioral" economic theories that incorporate non-standard components (motivated by psychological evidence) are increasingly finding their way into policy evaluation, which inevitably involves what economists call "welfare analysis" (that is, assessments of well-being). Yet these new theories fundamentally challenge our ability to formulate appropriate criteria for judging whether outcomes are "good" or "bad." If, contrary to the traditional assumption in economics, an individual's choices do not reflect coherent preferences, how can those choices provide economists with a basis for judging whether one outcome is better than another?This project develops, applies, and refines a unified framework for policy evaluation that encompasses the new generation of behavioral economic theories. The framework developed here is a natural extension of standard welfare economics. The standard approach is based on choice. In its simplest form, it advises a policy maker to respect the choices an individual would make for himself. The guiding principle behind that approach is an extension of the libertarian deference to freedom of choice, which takes the view that it is better to give a person the thing he would choose for himself rather than something that someone else would choose for him. The central premise of this project is that the same principle remains applicable even when people behave in ways that are inconsistent with standard economic assumptions. Although the guidance provided by people's choices may be ambiguous in some circumstances, it is typically unambiguous in others, and this partially ambiguous guidance can provide a foundation for rigorous policy evaluation. The project develops a general framework for policy evaluation and explores its implications for particular behavioral theories. It also reexamines an assortment of public policies, employing generalizations of the standard tools that economists conventionally use when evaluating the desirability of public policies. The broader impact of this work will follow directly from its focus on developing appropriate criteria for evaluating public policies. Previous studies that have employed non-standard behavioral models in the context of public policy analysis have generally relied on ad hoc criteria for assessing the relative desirability of different outcomes. This project will revisit many of those policy issues, such as the design of capital income taxes and social security, to identify conclusions that are rigorously justified based on the application of the new framework. In addition, this work enables greater integration of economics, psychology, and neuroscience. Specifically, it allows economists to conduct rigorous welfare analysis using literally any model of behavior, including ones imported from other fields, regardless of whether those models depict behavior as reflecting optimization.