论文标题
最近对歧视理论的贡献
Recent Contributions to Theories of Discrimination
论文作者
论文摘要
本文对歧视理论的文献进行了调查，主要关注新的贡献。最近的理论通过考虑学习和信号环境的特定特征，通常使用新颖的信息和机制设计语言来扩展传统的基于味觉和统计歧视框架。通过算法分析学习和决策；并引入具有行为偏见和误指定信念的代理商。这项调查还试图缩小对``歧视理论''的经济观点与社会科学文学中歧视的更广泛研究之间的差距。在这方面，我首先通过确定一类歧视性机构的模型来做出贡献，这些机构由歧视性社会规范和歧视性制度设计组成。其次，我讨论了与歧视测量的问题，以及将歧视分类为偏见或统计，直接或全身性，准确或不准确的问题。
This paper surveys the literature on theories of discrimination, focusing mainly on new contributions. Recent theories expand on the traditional taste-based and statistical discrimination frameworks by considering specific features of learning and signaling environments, often using novel information- and mechanism-design language; analyzing learning and decision making by algorithms; and introducing agents with behavioral biases and misspecified beliefs. This survey also attempts to narrow the gap between the economic perspective on ``theories of discrimination'' and the broader study of discrimination in the social science literature. In that respect, I first contribute by identifying a class of models of discriminatory institutions, made up of theories of discriminatory social norms and discriminatory institutional design. Second, I discuss issues relating to the measurement of discrimination, and the classification of discrimination as bias or statistical, direct or systemic, and accurate or inaccurate.
