TY  - GEN 
AU  - Muñoz Rosas, Juan Francisco
AU  - Pavía, José Manuel
AU  - Álvarez Verdejo, Encarnación
PY  - 2026
UR  - https://hdl.handle.net/10481/112177
AB  - The Gini index is the most widely-used measure of inequality. Unfortunately, its computation is subject to error. Researchers and practitioners often fall into common methodological pitfalls, leading to inaccurate estimates and inferences, and...
LA  - eng
PB  - Springer Nature
KW  - Gini coefficient
KW  - Inequality
KW  - unbiased estimator
KW  - variance estimation
KW  - bias correction
TI  - A practical guide to proper estimation and inference of the Gini index by avoiding often encountered methodological pitfalls
DO  - 10.1007/s11205-026-03831-x M
ER  -