35 Statistical Property 1 Unbiasedness

In this video, we delve into the first statistical property of Ordinary Least Squares (OLS) estimators: unbiasedness. Learn why OLS estimators for both the intercept and slope coefficients are considered unbiased, understanding that this property relates to the data generation process rather than a specific dataset. We break down the mathematical proof, highlighting the crucial role of key assumptions, particularly the zero conditional mean of the error term. Discover how unbiasedness ensures that, on average, our estimated relationship reflects the true relationship between variables, without systematic over or underestimation. This foundational concept is essential for interpreting regression results accurately and forms the bedrock for further statistical analysis in econometrics. Subscribe to @AxiomTutoringCourses for more econometrics insights.