INTERACTION BETWEEN DATA COLLECTION AND ESTIMATION PHASES IN SURVEYS WITH NONRESPONSE

Särndal Carl-Erik (), Traat Imbi () and Lumiste Kaur ()
Additional contact information
Särndal Carl-Erik: Statistics Sweden. Sweden
Traat Imbi: Institute of Mathematics and Statistics, University of Tartu, Estonia
Lumiste Kaur: Questro Analytics Ltd., Tartu, Estonia

Statistics in Transition New Series, 2018, vol. 19, issue 2, 183-200

Abstract: Inference in surveys with nonresponse has been studied extensively in the literature with a focus on the estimation phase. Propensity weighting and calibrated weighting are among the adjustment methods used to reduce the nonresponse bias. The data collection phase has come into focus more recently; the literature on adaptive survey design emphasizes representativeness and degree of balance as desirable properties of the response obtained from a probability sample. We take an integrated view where data collection and estimation are considered together. For a chosen auxiliary vector, we define the concepts incidence and inverse incidence and show their properties and relationship. As we show, incidences are used in balancing the response in data collection; the inverse incidences are important for weighting adjustment in the estimation.

Keywords: adaptive survey design; auxiliary vector; incidence; inverse incidence; nonresponse adjustment; response imbalance. (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:19:y:2018:i:2:p:183-200:n:2

DOI: 10.21307/stattrans-2018-011

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