# Asymptotic and bootstrap inference for inequality and poverty measures

@inproceedings{Davidson2004AsymptoticAB, title={Asymptotic and bootstrap inference for inequality and poverty measures}, author={Russell Davidson and Emmanuel Flachaire}, year={2004} }

- Published 2004
DOI:10.1016/j.jeconom.2007.01.009

A random sample drawn from a population would appear to offer an ideal opportunity to use the bootstrap in order to perform accurate inference, since the observations of the sample are IID. In this paper, Monte Carlo results suggest that bootstrapping a commonly used index of inequality leads to inference that is not accurate even in very large samples. Bootstrapping a poverty measure, on the other hand, gives accurate inference in small samples. We investigate the reasons for the poor… CONTINUE READING

#### Citations

##### Publications citing this paper.

SHOWING 1-10 OF 44 CITATIONS

## Statistical inference for inequality measures based on semi-parametric estimators

VIEW 5 EXCERPTS

CITES METHODS

HIGHLY INFLUENCED

## Improved Nonparametric Inference for the Mean of a Bounded Random Variable with Application to Poverty Measures

VIEW 9 EXCERPTS

CITES BACKGROUND & METHODS

HIGHLY INFLUENCED

## Income distribution and inequality measurement : the problem of extreme values

VIEW 7 EXCERPTS

CITES BACKGROUND & METHODS

## Identification-Robust Inequality Analysis

VIEW 9 EXCERPTS

CITES BACKGROUND & METHODS

HIGHLY INFLUENCED

## Top Incomes and the Measurement of Inequality in Egypt

VIEW 7 EXCERPTS

CITES METHODS & BACKGROUND

HIGHLY INFLUENCED

## Ranking inequality: Applications of multivariate subset selection

VIEW 5 EXCERPTS

CITES BACKGROUND

HIGHLY INFLUENCED

## Permutation Tests for Comparing Inequality Measures

VIEW 4 EXCERPTS

CITES BACKGROUND & METHODS

## Did Poverty Reduction Reach the Poorest of the Poor? Complementary Measures of Poverty and Inequality in the Counting Approach

VIEW 5 EXCERPTS

CITES BACKGROUND & METHODS

HIGHLY INFLUENCED

## Confidence Sets for Inequality Measures: Fieller-Type Methods

VIEW 6 EXCERPTS

CITES METHODS, RESULTS & BACKGROUND

## MICHAŁ BRZEZIŃSKI STATISTICAL INFERENCE ON CHANGES IN INCOME POLARIZATION IN POLAND

VIEW 2 EXCERPTS

CITES BACKGROUND

HIGHLY INFLUENCED

#### References

##### Publications referenced by this paper.

SHOWING 1-10 OF 31 REFERENCES

## Handbook of Mathematical Functions

VIEW 5 EXCERPTS

HIGHLY INFLUENTIAL

## Tails of Lorenz Curves

VIEW 5 EXCERPTS

HIGHLY INFLUENTIAL

## An Introduction to Statistical Modeling of Extreme Values

VIEW 6 EXCERPTS

HIGHLY INFLUENTIAL

## Statistical Inference via Bootstrapping for Measures of Inequality

VIEW 7 EXCERPTS

HIGHLY INFLUENTIAL

## On the Bootstrap of the Sample Mean in the Infinite Variance Case

VIEW 4 EXCERPTS

HIGHLY INFLUENTIAL

## BOOTSTRAP OF THE MEAN IN THE INFINITE VARIANCE CASE

VIEW 3 EXCERPTS

HIGHLY INFLUENTIAL

## Estimation and Inference in Econometrics

VIEW 3 EXCERPTS