All course material is available free and open source via our Github Repository .
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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.
A must attend for any aspiring researchers to learn the (unwritten) rules of applied research and the publishing process.
The instructor's approach to showcasing examples of papers, review and publication process, and steps to better prepare for the job market was invaluable.
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.
I thought the workshop was excellent. As an incoming 3rd year PhD student, I received valuable insight into the publication process, as well as what the dos and don'ts are.
Most of the information is generally not available to grad students easily and it's a learning process for everyone that takes a lot time. This helps bridge the gap, which I'm really grateful for.
Mark and Dan bring such great energy to accompany their expertise and knowledge and kept the material engaging all day.
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.
We will upload recordings to Vimeo and they will be password protected, so that only attendees can watch the videos.
Don't be. We are good teachers. If we can learn this, so can you.