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Potential gains from using unit level cost information in a model-assisted framework

Journal Article


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Abstract


  • In developing the sample design for a survey we attempt to produce a good design for the funds available. Information on costs can be used to develop sample designs that minimise the sampling variance of an estimator of total for fixed cost. Improvements in survey management systems mean that it is now sometimes possible to estimate the cost of including each unit in the sample. This paper develops relatively simple approaches to determine whether the potential gains arising from using this unit level cost information are likely to be of practical use. It is shown that the key factor is the coefficient of variation of the costs relative to the coefficient of variation of the relative error on the estimated cost coefficients.

Publication Date


  • 2014

Citation


  • Steel, D. G. & Clark, R. Graham. (2014). Potential gains from using unit level cost information in a model-assisted framework. Survey Methodology, 40 (2), 231-242.

Scopus Eid


  • 2-s2.0-84929239133

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=4362&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3346

Number Of Pages


  • 11

Start Page


  • 231

End Page


  • 242

Volume


  • 40

Issue


  • 2

Place Of Publication


  • http://www.statcan.gc.ca/pub/12-001-x/2014002/article/14110-eng.htm

Abstract


  • In developing the sample design for a survey we attempt to produce a good design for the funds available. Information on costs can be used to develop sample designs that minimise the sampling variance of an estimator of total for fixed cost. Improvements in survey management systems mean that it is now sometimes possible to estimate the cost of including each unit in the sample. This paper develops relatively simple approaches to determine whether the potential gains arising from using this unit level cost information are likely to be of practical use. It is shown that the key factor is the coefficient of variation of the costs relative to the coefficient of variation of the relative error on the estimated cost coefficients.

Publication Date


  • 2014

Citation


  • Steel, D. G. & Clark, R. Graham. (2014). Potential gains from using unit level cost information in a model-assisted framework. Survey Methodology, 40 (2), 231-242.

Scopus Eid


  • 2-s2.0-84929239133

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=4362&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3346

Number Of Pages


  • 11

Start Page


  • 231

End Page


  • 242

Volume


  • 40

Issue


  • 2

Place Of Publication


  • http://www.statcan.gc.ca/pub/12-001-x/2014002/article/14110-eng.htm