Special Cases in Weighting

Seppo Laaksonen

Chapter 9 in Survey Methodology and Missing Data, 2018, pp 135-140 from Springer

Abstract: Abstract So far, several sampling weights have been presented, particularly in Chap. 8 . The general goal is to try to utilize all possible auxiliary variables to reduce any possible and obvious bias in the point estimates by using weights that are as advanced as possible. Not much can be done without appropriate micro and macro auxiliary variables. This chapter does not continue any further into improving these weights, but we present some special cases that can be used with any available weights—that is, the best possible weights naturally lead to the best results. We thus write the weights in this chapter more generally, using the symbols w_ or wk. Four different cases are presented.

Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-3-319-79011-4_9

Ordering information: This item can be ordered from
http://www.springer.com/9783319790114

DOI: 10.1007/978-3-319-79011-4_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().