We’ll come across the following datasets throughout the course. Some of these link to GitHub repositories that I and others have put together to help with some of the larger, more cumbersome data endeavors. Others are just direct links to the downloadable data on the CMS or NBER websites. This is a long list…the goal is not for you to all use each of these datasets in detail in this class. Rather, the goal is that you have some understanding of the available public use datasets for studying supply-side issues in U.S. healthcare. We’ll use a subset of these datasets in our exercises for each module.
Here’s a nice list of free econometrics resources that will be relevant for this class:
Causal Inference: The Mixtape by Scott Cunningham
Causal Inference Book by Jamie Robin and Miguel Hernan
Econometrics by Bruce Hansen
Introductory Econometrics class notes from Nick Huntington-Klein
Resources for specific estimators and research designs:
For those of you still somewhat new to programming, here are a few nice resources.
Rand lots of important data science topics, see Grant McDermott’s Data science for economists GitHub repository
Academics aren’t known for their patience, and economists are probably worse than most. Learning how to write concisely and present effectively for your audience is critical. Here are some helpful links (hat tip to Christoph Kronenberg and Amanda Agan for gathering many these on their websites first)