Основной контент книги Fast methods for jackknifing inequality indices
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Volume 14 pages

2015 year

12+

Fast methods for jackknifing inequality indices

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The jackknife is a resampling method that uses subsets of the original database by leaving out one observation at a time from the sample. The paper develops fast algorithms for jackknifing inequality indices with only a few passes through the data. The number of passes is independent of the number of observations. Hence, the method provides an efficient way to obtain standard errors of the estimators even if sample size is large. We apply our method using micro data on individual incomes for Germany and the US.

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Age restriction:
12+
Release date on Litres:
27 April 2015
Writing date:
2015
Volume:
14 p.
Total size:
562 КБ
Total number of pages:
14
Copyright holder:
Синергия
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