•Starting October 14th
All course material is available free and open source via our Github Repository .
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I can't endorse these workshops highly enough. The ambitious syllabus is covered in great detail, interlaced with tangible examples and useful economic history lessons in addition to personal anecdotes. Anybody interested in gaining a deeper understanding in the science (art?) of causal inference and its recent developments will not regret investing a few hours (and a few dollars) in Scott's workshops
Your effort to explain complex contents in such a practical way and your patience, please keep doing what you do, because it's excellent and so much needed in a difficult and sometimes not very inclusive field such economics.
The course is taught in such a pedagogical manor, and communicates a lot of complex material in a short amount of time. It is a huge bonus how attentive Scott was to our questions and comments. This course would be super useful anyone working with causal inference (or hoping to) whether you are advanced or just a beginner. Only nice words to say - such an amazing week. I kind of want to do it again already.
Scott's ability to explain fairly complex methods and concepts in an intuitive way, plus his complete openness and availability to answer questions as they come around, and his commitment to democratize causal inference (truly admirable and very rare within economics) make this a wonderful workshop that I would highly recommend to anyone wanting to learn more about the topic and methods.
Yes! Students, postdocs, predocs and residents of middle-income countries can attend for $50 plus a few dollars in fees. To receive your promo code, please include a photo of your student ID. International folks from low-income countries can attend for $1. To receive promo codes, email us at firstname.lastname@example.org.
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 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.
We will use Discord to communicate with one another. I will have a second monitor open so that I can see what you say. My experience has been positive with this kind of setup. Many people seem willing to talk by chat in ways they wouldn't verbally. Also participants tend to not think they are interrupting the speaker when they ask questions.
Don't be. I'm a good teacher. If I can learn this, so can you.
I encourage you to read my book, Causal Inference: The Mixtape which is available online for free here. Whenever possible, then read the underlying articles that interest you to go deeper.
No worries! Stata has graciously provided a temporary license for all participants. Before the workshop starts, I will distribute to all of you your license so that you can have it.
If you are paying the full price, you get 30 minutes of office hours per workshop. So if someone paid for the bundled workshops, you would get 1 hour. I will be creating a calendy app with times so that you can sign up for office hours over the semester. We can talk about whatever you want.