Variance Estimation for Measures of Income Inequality and Polarization - The Estimating Equations Approach

@article{kovacevic:binder:1997, abstract = {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.}, author = {Kovacevic, Milorad S. and Binder, David A. }, citeulike-article-id = {2315574}, journal = {Journal of Official Statistics}, keywords = {inequality, poverty, sampling, survey}, number = {1}, pages = {41--58}, posted-at = {2008-01-31 17:14:57}, priority = {2}, title = {Variance Estimation for Measures of Income Inequality and Polarization - The Estimating Equations Approach}, url = {http://www.jos.nu/Articles/abstract.asp?article=13141}, volume = {13}, year = {1997} }

TY - JOUR ID - kovacevic:binder:1997 L3 - citeulike-article-id:2315574 N2 - 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. IS - 1 JF - Journal of Official Statistics EP - 58 TI - Variance Estimation for Measures of Income Inequality and Polarization - The Estimating Equations Approach VL - 13 SP - 41 KW - inequality KW - poverty KW - sampling KW - survey AU - Kovacevic, Milorad AU - Binder, David PY - 1997/// UR - http://www.jos.nu/Articles/abstract.asp?article=13141 ER -