Replication Data for: A tutorial on the use of differences-in-differences in management, finance and accounting research

Context: natural experiments or quasi-experiments have become quite popular in management research. The Differences-in-Differences (DiD) estimator is possibly the workhorse of these techniques. Objective: the goal of this paper is to provide a tutorial that serves as practical guide for researchers considering using natural experiments to make causal inferences. Methods: we discuss the DiD advantages, concerns, and tests of validity. We also provide an application of the technique, in which we discuss the effect of government guarantees on banks´ degree of risk, using the 2008 financial crisis as a natural experiment. The database used, as well as the Stata and the R scripts containing the analyses are available as online appendices. Conclusion: DiD may be used to tackle endogeneity concerns when treatment assignment is random.

研究背景：自然实验与准实验在管理学研究中已愈发普及，双重差分法（Differences-in-Differences，DiD）估计量或许是这类方法中的主力工具。
研究目标：本文旨在撰写一篇教程，为有意借助自然实验开展因果推断的研究者提供实用操作指南。
研究方法：本文探讨了双重差分法的优势、应用顾虑与有效性检验方法，并结合2008年金融危机作为自然实验场景，展示了该方法的实际应用——分析政府担保对银行风险水平的影响。本文所用的数据库，以及包含分析代码的Stata与R脚本均已作为在线附录公开。
研究结论：当干预分配随机化时，双重差分法可用于解决内生性问题。