About this document
Comprehensive Findings On Gauss-Markov Assumptions and Randomized Experiments by Jinal Parekh is a document available to read on EtoBox.
The document discusses the Gauss-Markov assumptions essential for OLS regression, emphasizing exogeneity as the most critical assumption satisfied by randomized experiments. It explains how randomization ensures that treatment assignment is independent of unobserved factors, thus eliminating selection bias and enabling unbiased causal inference. The findings are supported by a study on the impact of computer usage on academic performance, demonstrating the importance of exogeneity in experimental design.
- Author
- Jinal Parekh
- Language
- EN