Bootstrap inference for inequality, mobility and poverty measurement
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Publication:1867725
DOI10.1016/S0304-4076(01)00138-5zbMath1020.62118OpenAlexW2053366786MaRDI QIDQ1867725
Publication date: 2 April 2003
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0304-4076(01)00138-5
Applications of statistics to economics (62P20) Nonparametric statistical resampling methods (62G09) Monte Carlo methods (65C05) Statistical methods; economic indices and measures (91B82)
Related Items (16)
Jackknife empirical likelihood confidence interval for the Gini index ⋮ Asymptotic and bootstrap inference for inequality and poverty measures ⋮ On the problem of inference for inequality measures for heavy‐tailed distributions ⋮ Poverty and inequality in European regions ⋮ Edgeworth expansions and normalizing transforms for inequality measures ⋮ Dynamics of Market Power and Concentration Profiles ⋮ Income inequality decomposition using a finite mixture of log-normal distributions: a Bayesian approach ⋮ Empirical Likelihood-Based Inference for Poverty Measures with Relative Poverty Lines ⋮ Structural change in U.S. manufacturing: stationarity and intra-distributional changes ⋮ Treatment recommendation with distributional targets ⋮ Mobility measurement, transition matrices and statistical inference ⋮ Poverty comparisons with common relative poverty lines ⋮ Empirical likelihood-based inference for the generalized entropy class of inequality measures ⋮ U-Statistics and Their Asymptotic Results for Some Inequality and Poverty Measures ⋮ Reduce the computation in jackknife empirical likelihood for comparing two correlated Gini indices ⋮ Jackknife empirical likelihood for comparing two Gini indices
Cites Work
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- Theoretical comparison of bootstrap confidence intervals
- Some asymptotic theory for the bootstrap
- Income inequality and income mobility
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- On the relevance of first-order asymptotic theory to economics. (With rejoinder)
- The jackknife and bootstrap
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- A Class of Decomposable Poverty Measures
- Large Sample Properties of Two Inequality Indices
- The Class of Additively Decomposable Inequality Measures
- Statistical Inference for the Measurement of the Incidence of Taxes and Transfers
- Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality
- Linear Statistical Inference and its Applications
- The bootstrap and Edgeworth expansion
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