Design‐based analysis of embedded experiments with applications in the Dutch Labour Force Survey
Jan A. Van Den Brakel
Journal of the Royal Statistical Society Series A, 2008, vol. 171, issue 3, 581-613
Abstract:
Summary. Previous research has proposed a design‐based analysis procedure for experiments that are embedded in complex sampling designs in which the ultimate sampling units of an on‐going sample survey are randomized over different treatments according to completely randomized designs or randomized block designs. Design‐based Wald and t‐statistics are applied to test whether sample means that are observed under various survey implementations are significantly different. This approach is generalized to experimental designs in which clusters of sampling units are randomized over the different treatments. Furthermore, test statistics are derived to test differences between ratios of two sample estimates that are observed under alternative survey implementations. The methods are illustrated with a simulation study and real life applications of experiments that are embedded in the Dutch Labour Force Survey. The functionality of a software package that was developed to conduct these analyses is described.
Date: 2008
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://doi.org/10.1111/j.1467-985X.2008.00532.x
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssa:v:171:y:2008:i:3:p:581-613
Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-985X
Access Statistics for this article
Journal of the Royal Statistical Society Series A is currently edited by A. Chevalier and L. Sharples
More articles in Journal of the Royal Statistical Society Series A from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().