Asymptotic and bootstrap inference for top income shares

We analyse statistical inference for top income shares in finite samples. The asymptotic inference performs poorly even in large samples. The standard bootstrap tests give some improvement, but can be unreliable. The semi-parametric bootstrap approach is accurate in moderate and larger samples.

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Year of publication:	2013
Authors:	Brzezinski, Michal
Published in:	Economics Letters. - Elsevier, ISSN 0165-1765. - Vol. 120.2013, 1, p. 10-13
Publisher:	Elsevier
Subject:	Top income shares \| Income distribution \| Inference \| Bootstrap \| Semi-parametric bootstrap

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Type of publication:	Article
Classification:	C15 - Statistical Simulation Methods; Monte Carlo Methods ; C14 - Semiparametric and Nonparametric Methods ; I3 - Welfare and Poverty
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010665686