Blar i Statistics Norway's Open Research Repository (SNORRe) på emneord "Nonresponse"
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A calibrated imputation method for secondary data analysis of survey data
(Peer reviewed; Journal article, 2019-11-21)In practical survey sampling, missing data are unavoidable due to nonresponse, rejected observations by editing, disclosure control, or outlier suppression. We propose a calibrated imputation approach so that valid point ... -
Coping with decreasing response rates in Statistics Norway : recommended practice for reducing the effect of nonresponse
(Reports;2006/29, Report, 2006)Over the last two decades, cooperation rates in most sample surveys appear to have declined in many countries, including Norway. As a consequence, the cost of conducting surveys has increased because repeated attempts ... -
Modeling and estimation methods for household size in the presence of nonignorable nonresponse applied to the Norwegian consumer expenditure survey
(Journal article; Peer reviewed, 2005)This paper considers the problem of estimating, in the presence of considerable nonignorable nonresponse, the number of private households of various sizes and the total number of households in Norway. The approach is ... -
Modeling and estimation methods for household size in the presence of nonresponse : applied to the Norwegian consumer expenditure survey
(Discussion Papers;No. 206, Working paper, 1997)This paper considers the problem of estimating the number of private households of various sizes and the total number of households in Norway. The approach is model-based with a population model for household size given ... -
Non-Bayesian mulitple imputation
(Journal article; Peer reviewed, 2007)Multiple imputation is a method specifically designed for variance estimation in the presence of missing data. Rubin’s combination formula requires that the imputation method is proper, which essentially means that the ... -
Non-Bayesian multiple imputation
(Discussion Papers;No. 421, Working paper, 2005)Abstract: Multiple imputation is a method specifically designed for variance estimation in the presence of missing data. Rubin’s combination formula requires that the imputation method is “proper” which essentially means ... -
A note on post-stratification when analyzing binary survey data subject to nonresponse
(Journal article; Peer reviewed, 1999)In this article we presents some results regarding the effect of post-stratification when analyzing binary survey data to nonresponse. Assuming that nonresponse depends on the variable of interest which is missing for ... -
Selection in Surveys
(Discussion Paper;No. 971, Working paper, 2021-12)We evaluate how nonresponse affects conclusions drawn from survey data and consider how researchers can reliably test and correct for nonresponse bias. To do so, we examine a survey on labor market conditions during the ... -
Using register data to evaluate the effects of proxy interviews in the Norwegian labour force survey
(Journal article; Peer reviewed, 2011)We combine data from the Norwegian Labour Force Survey with register data in order to evaluate the impact of proxy interviews on the survey-based employment rate estimates. The method compares estimates under different ...