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OLS Assumptions in Econometrics Explained by Shahmir Bukhari is a document available to read on EtoBox.
The document discusses the assumptions and properties of the classical linear regression model (CLRM). It outlines 7 assumptions that CLRM makes, including that the regression is linear, regressors are independent of the error term, the error term has a zero mean, errors have constant variance, errors are uncorrelated, more observations than parameters, and no perfect collinearity among regressors. It also states that the ordinary least squares (OLS) method produces best linear unbiased estimators according
- Author
- Shahmir Bukhari
- Language
- EN