Empirical economics and econometrics (EEE) research now relies primarily on the application of code to data sets. Handling the workflow that links data sets, programs, results, and finally manuscript(s) is essential if one wishes to reproduce results. Herein, we highlight the importance of “reproducible research” in EEE and propose three simple principles to follow: organize your work, code for others, and automate as much as you can. The first principle, “organize your work”, deals with the overall organization of files and the documentation of a research workflow. “Code for others” emphasizes that we should take care in how we write code that has to be read by others or later by our future self. Finally, “automate as much as you can” is a proposal to avoid any manual treatment and to automate most, if not all, of the steps used in a research process to reduce errors and increase reproducibility. As software is not always the problem and will never be the solution, we illustrate these principles with good habits and tools, with a particular focus on their implementation in most popular software and languages in applied economics.

中文翻译：

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如何取得成功：经验经济学和经济学的可重复研究

经验经济学和计量经济学（EEE）研究现在主要依赖于将代码应用于数据集。如果希望重现结果，处理链接数据集，程序，结果以及最终原稿的工作流程至关重要。本文中，我们强调了EEE中“可重复研究”的重要性，并提出了以下三个简单原则：组织您的工作，为他人编写代码以及尽可能地自动化。第一条原则是“组织您的工作”，涉及文件的整体组织和研究工作流程的文档。“为他人编写代码”强调，我们应该谨慎对待编写必须被他人或以后自己将来阅读的代码。最后，“尽可能多地实现自动化”是一项建议，避免进行任何人工处理，并实现大部分（如果不是全部）自动化，研究过程中使用的步骤，以减少错误并提高可重复性。由于软件并不总是问题，也永远不是解决方案，因此，我们将以良好的习惯和工具说明这些原理，并特别关注它们在应用经济学中最流行的软件和语言中的实现。