What Does Performing Linear Regression on Sample Survey Data Mean?

Phillip S. Kott

Journal of Agricultural Economics Research, 1991, vol. 43, issue 01, 4

Abstract: Most economists understand linear regression as the estimation of the parameters of a linear model. There are two other ways of interpreting the results of linear regression, however, and most software packages designed specifically to handle data from complex sample surveys (for example, SURREGR and PC CARP) assume one of these interpretations. This article contrasts the conventional model-based theory of linear regression to the design-based theories underlying survey-sampling software. The article demonstrates how procedures from design-based regression theory can be justified and exploited in a linear model framework. Proposed is a test for comparing the results of ordinary least squares and weighted regression.

Keywords: Research; and; Development/Tech; Change/Emerging; Technologies (search for similar items in EconPapers)
Date: 1991
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://ageconsearch.umn.edu/record/138341/files/6Kott_43_1.pdf (application/pdf)

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:ags:uersja:138341

DOI: 10.22004/ag.econ.138341

Access Statistics for this article

More articles in Journal of Agricultural Economics Research from United States Department of Agriculture, Economic Research Service Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().