Resampling variance estimation for complex survey data

In this article, I discuss the main approaches to resampling variance es- timation in complex survey data: balanced repeated replication, the jackknife, and the bootstrap. Balanced repeated replication and the jackknife are implemented in the Stata svy suite. The bootstrap for complex survey data is implemented by the bsweights command. I describe this command and provide working examples. Copyright 2010 by StataCorp LP.

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Year of publication:	2010
Authors:	Kolenikov, Stanislav
Published in:	Stata Journal. - StataCorp LP. - Vol. 10.2010, 2, p. 165-199
Publisher:	StataCorp LP
Subject:	bsweights \| balanced repeated replication \| balanced bootstrap \| bootstrap \| complex survey data \| Hadamard matrix \| half-samples \| jackknife \| re- sampling \| weighted bootstrap \| mean bootstrap

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Type of publication:	Article
Notes:	to access software from within Stata, net describe http://www.stata-journal.com/software/sj10-2/st0187/
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008455921