Testing Lorenz curves with non-simple random samples

Econometrica

Volumn 70, Issue 3, 2002, Pages 1235-1243

  Zheng, Buhong ^a  

^a UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CURVE FITTING; ECONOMICS; ESTIMATION; RANDOM PROCESSES;

CURRENT POPULATION SURVEY; LORENZ CURVES; PANEL STUDY OF INCOME DYNAMICS; RANDOM SAMPLES;

SAMPLING;

EID: 0036091130     PISSN: 00129682     EISSN: None     Source Type: Journal    
DOI: 10.1111/1468-0262.00325     Document Type: Article

References (18)

1. On the measurement of inequality
2. Distribution-free statistical inference with Lorenz curves and income shares
3. A note on quantiles in large samples
4. Statistical inference for stochastic dominance and for the measurement of poverty and inequality
5. Quantile estimation with a complex survey design
6. Simple asymptotically distribution-free methods for comparing Lorenz curves and gini indices obtained from complete data
7. A new proof of the bahadur representation of quantiles and an application
8. Income inequality measurement: The statistical approach
9. Convergence theorems for empirical Lorenz curves and their inverses
10. Asymptotic normality of sample quantiles for m-dependent processes
11. On the bahadur representation of sample quantiles for sequences of φ-mixing random variables
12. Confidence intervals for medians and other position measures
13. Statistical inferences for testing marginal changes in Lorenz and generalized Lorenz curves
14. Statistical inferences for testing marginal rank and (generalized) Lorenz dominances