this post was submitted on 27 Sep 2025
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To the practicing statisticians out there: Is BLUE at all relevant in the field? Even if you can formulate your data/problem as a linear regression, wouldn't maximum likelihood estimation still be the preferred method in most scenarios? Edit: Of course Bayesian analysis is of equal relevance here!
OLS is well used in a lot of domains. If you have a continuous outcome you have a straightforward and very easy way to get a quick reliable estimate of some interesting parameter. The typical use in most social sciences is to implement some sort of difference-in-differences (or DiD event-study) estimate within a simple linear regression.