HOW TO MAKE A PIE: REPRODUCIBLE RESEARCH FOR EMPIRICAL ECONOMICS AND ECONOMETRICS
强调实证经济学和计量经济学研究中可重复研究的重要性，提出三个简单原则：组织工作、为他人编码、尽可能自动化，并介绍在常用软件中的实施方法，帮助研究者减少错误、提高结果的可重复性。
Abstract 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.