Replication Data for: A tutorial on the use of differences-in-differences in management, finance and accounting research
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'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' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Causal inference","Differences-in-differences","Endogeneity","Natural experiments"]} <|eot_id|>
 Here is the Description of a dataset. Description:'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' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
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
Causal inference; Differences-in-differences; Endogeneity; Natural experiments