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Gini Index Estimation Within Pre-Specified Error Bound: Application to Indian Household Survey Data
2020
Econometrics
The Gini index, a widely used economic inequality measure, is computed using data whose designs involve clustering and stratification, generally known as complex household surveys. Under complex household survey, we develop two novel procedures for estimating Gini index with a pre-specified error bound and confidence level. The two proposed approaches are based on the concept of sequential analysis which is known to be economical in the sense of obtaining an optimal cluster size which reduces
doi:10.3390/econometrics8020026
fatcat:kzxc7cdpzffolgpwuyo5wpnrh4