Prof. Daniel Rees and Prof. D. Mark Anderson
• Starting May 4th
This course is intended to be a practical guide for graduate students and early career economists doing applied research. The nuts and bolts of writing, publishing, and service to the profession are covered in two half-day sessions, each lasting roughly four hours (including short breaks). We begin by providing tips on how to start a research project, when to switch topics, and how to effectively manage multiple projects at once. Next, we provide practical advice on how to write an applied economics paper, from structing the introduction to crafting the conclusion. The second half of the course takes participants through the publication process. In addition, we discuss networking, refereeing for economics journals, getting the most out of conferences, and how to successfully navigate the academic job market.
Sign-up today to ensure access to this workshop.
May 4th
May 5th
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As an econ grad student early in my research career, this workshop answered every question I had about how research actually gets done and how to deal with the inevitable issues, tradeoffs, and challenges of writing papers. In fact, it answered questions I didn't even know I had and delivered the hidden curriculum of research in an organized, encouraging fashion.
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A must attend for any aspiring researchers to learn the (unwritten) rules of applied research and the publishing process.
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The instructor's approach to showcasing examples of papers, review and publication process, and steps to better prepare for the job market was invaluable.
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Both the professors were extremely resourceful. The workshop was well-organized and allowed attendees sufficient insight into how to write an applied paper, what the publication process entails and how important conferences and networking is for graduate students.
The course material will be availabe forever on Github. We will also send you links to the video recordings on Vimeo after the workshop is completed.
That's a great question. Causal inference, and econometrics more generally, is largely a “returns to experience” type of skill as much as it is a returns to education. The best way for you to learn anything in these classes is to work on projects that require it. Our class is designed as a fast track to both.
Yes, I will distribute assignments with readings with directions the night before. We will then do these together in a coding lab that lasts approximately 75 minutes. I will do the assignments too in real time coding so that you can see how I approach these things. We will help each other in Discord, asking questions, pointing out mistakes I'm making, and helping one another problem solve. I will usually assign more than we can do that faster workers always have something to work on. And in the end, I will distribute the solutions. It'll be fun I promise!
We will upload recordings to Vimeo and they will be password protected, so that only attendees can watch the videos.
Don't be. I'm a good teacher. If I can learn this, so can you.