Weighted least squares estimator

By:
Updated: Aug 20, 2021

A version of the generalized least squares estimator used when the covariance matrix of the random error is knovm to be diagonal. This estimator minimizes the sum of squares of residuals weighted by the inverse of the standard deviation for each observation. Thus, the more reliable observations (those with relatively lower variance) are weighted more heavily in estimation than the less reliable ones.

Reference: Oxford Press Dictonary of Economics, 5th edt.



Sources & references
Risk disclaimer
James Knight
Editor of Education
James is the Editor of Education for Invezz, where he covers topics from across the financial world, from the stock market, to cryptocurrency, to macroeconomic markets.... read more.