Variance Estimation for Measures of Income Inequality and
Polarization -- The Estimating Equations Approach
Milorad S. Kovačević and David A. Binder
The estimating equations technique for variance estimation is demonstrated on a variety of
income inequality and polarization measures when data are obtained in a complex survey.
This method, based on the Taylor linearization, is computationally nonintensive and easy
to implement. Six different measures are considered. An example based on data from the
Canadian Survey of Consumer Finance is given.