Econometrics Blog

Even for experienced empirical researchers, certain econometric issues can be often overlooked or seem confusing. It can seem like everyone else knows what’s going on except you! The rapid pace with which new econometric methods are being developed further exacerbates these issues. Moreover, the economics discipline and publication process are in constant flux. Who has time to keep up to date?

Enter, Professor Daniel Millimet from the 黑料老司机Department of Economics. His blog,  lays out what empirical practitioners need to know when it comes to those often overlooked or confusing issues, introduces recently developed techniques in a simple, reader friendly way, and offers commentary on the current state of the profession. Dr. Millimet teaches courses in econometrics and labor economics, and his research focuses on microeconometric methods and applications primarily in labor economics and environmental economics. He is also a research fellow at IZA, a senior co-editor of Advances in Econometrics, and a Journal of Applied Econometrics Distinguished Author.

Take a look at selected blog posts.

Mob Mentality

June 5, 2024
The truly awe-inspiring way that math works sometimes, like sorcery. Dark magic kind of stuff.


Mob Mentality

May 3, 2023
Even if we are doing something wrong, we think that if someone else did it first, we are in the clear. While this strategy may work in the short-run, it does have long-run consequences.



Dig A Little Deeper

December 1, 2022
The so-called credibility revolution in economics refers to the focus of most empirical research (by academics at least) on credible identification of the causal effects of some policy or intervention or treatment. Whether this revolution has been mostly harmless or sharp is a matter of perspective, but it has been important



The Average Man

April 26, 2020
It is well known to most, if not all, reading this that the coefficients in non-linear regression models are not of direct interest because they lack a meaningful interpretation. Instead, we focus on marginal effects.