About this document
Gauss-Markov Theorem Explained by kurimanjucoy is a document available to read on EtoBox.
The Gauss-Markov theorem establishes that under certain assumptions, the ordinary least squares (OLS) estimator is the best linear unbiased estimator (BLUE) for linear regression models. The document discusses the conditions necessary for the theorem to hold, including the treatment of errors and regressors, and explores extensions and limitations of the theorem in various contexts, such as social sciences and econometrics. Additionally, it addresses issues like endogeneity and the implications of relaxing
- Author
- kurimanjucoy
- Language
- EN