Common Errors: How to (and Not to) Control for Unobserved Heterogeneity

Todd A. Gormley, David A. Matsa
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引用次数: 852

Abstract

Controlling for unobserved heterogeneity (or "common errors"), such as industry-specific shocks, is a fundamental challenge in empirical research.This paper discusses the limitations of two approaches widely used in corporate finance and asset pricing research: demeaning the dependent variable with respect to the group (e.g., "industry-adjusting") and adding the mean of the group's dependent variable as a control. We show that these methods produce inconsistent estimates and can distort inference. In contrast, the fixed effects estimator is consistent and should be used instead. We also explain how to estimate the fixed effects model when traditional methods are computationally infeasible.
常见错误:如何(或不)控制未观察到的异质性
控制未观察到的异质性(或“常见错误”),如特定行业的冲击,是实证研究的基本挑战。本文讨论了在公司融资和资产定价研究中广泛使用的两种方法的局限性:相对于组(例如,“行业调整”)贬低因变量,并添加组的因变量的平均值作为控制。我们发现这些方法会产生不一致的估计,并且会扭曲推理。相反,固定效应估计器是一致的,应该使用它来代替。我们还解释了当传统方法在计算上不可行时如何估计固定效应模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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