集体声誉与统计歧视的动态机制

COLLECTIVE REPUTATION AND THE DYNAMICS OF STATISTICAL DISCRIMINATION

International Economic Review · 2017
被引 24
人大 AABS 4

中文导读

通过构建动态模型,研究集体声誉如何影响统计歧视的持续性,发现即使群体成员能协调预期,初始声誉差的群体仍可能长期无法恢复声誉,导致歧视长期存在。

Abstract

Abstract Economists have developed theoretical models identifying self‐fulfilling expectations as an important source of statistical discrimination practices. The static models dominating the literature, however, may leave the false impression that a bad equilibrium is as fragile as a “bubble” and can burst at any moment when expectations flip. By developing a dynamic version of the model, we clarify the limits of expectations‐related fragility. Even if group members can coordinate their expectations about future employer behavior, a group with a poor initial collective reputation may still be unable to recover its reputation, implying that the once‐developed discriminatory outcomes can be long‐standing.

集体声誉统计歧视自我实现预期动态模型