Heteroskedasticity in Regression

So far, we have often assumed that the unobserved errors in a regression have the same spread everywhere. Real data rarely behave so neatly — sometimes the noise is quiet in one region and loud in another. This chapter shows what happens when that assumption fails, how to fix your standard errors, and how to get a more precise estimator if you know the noise pattern.