Similar to many other applied microeconomists, I find myself using coefficient stability tests in nearly all my papers. Apparently, I am not unique. The methods developed by Altonji, Elder, and Taber (2005) and Oster (2019) have thousands of citations, many from top general interest and field journals.
A new paper, by Paul Diegert, Matthew Masten, and Alexandre Poirier seeks to improve upon these now-standard methods of testing coefficient stability to unobservable sources of selection bias. I think this paper is set up to provide the next standard method for sensitivity analysis. Here is why…
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