Data from My Projects

I’m working to organize some of the publicly available datasets that I use more frequently (mainly Medicare Advantage and HCRIS) and associated code files. These are available as part of separate GitHub repositories. For code that is more specific to a given projects, please see the repositories under those individual projects/papers on my Research page.


External Data Sources

Here I've compiled some handy resources that I've come across over time. Most of these are data search engines or specific websites that I find valuable and that I reference semi-regularly. Hat tip to D. Sebastian Tello-Trillo for organizing many of these data sources on his own resources page.

Consider joining Data is Plural. This is a newsletter that sends out a few lesser-known datasets every week. You can also peruse their archive.

ICPSR is a data search-engine provided by the Institute for Social Research at the University of Michigan. Lots of good info.


FRED is a common data source for macroeconomic variables maintained by the Federal Reserve Bank of St. Louis

Dataverse is a repository for papers, often with links to specific data sources and code files where available.


IPUMS provides a list of several datasets from several different underlying surveys.

Long list of valuable datasets from the NBER.


Data from the Bureau of Economic Analysis (BEA).

List of datasets sponsored by the CDC at CDC Wonder.


A short list of datasets for economics compiled by the AEA.

Historic data can be hard to find. These lists from Historical Statistics can help.


Learning and Methods

It’s always nice to learn new things, freshen-up on things we thought we learned before, or just hear things again from a different perspective. Below are a few resources that I’ve found valuable specifically for econometric methods.

Like the NBER Lectures, the AEA Continiung Education webcasts are great for learning new methods, even if you couldn’t attend the pre-conference workshops.

NBER Lectures are very well done and presented by the best in their respective fields