On the Use of Auxiliary and Paradata for Dealing With Non‐sampling Errors in Household Surveys

In this paper, we consider the use of auxiliary and paradata for dealing with non‐response and measurement errors in household surveys. Three over‐arching purposes are distinguished: response enhancement, statistical adjustment, and bias exploration. Attention is given to the varying focus at the different phases of statistical production from collection, processing to analysis, and how to select and utilize the useful auxiliary and paradata. Administrative register data provide the richest source of relevant auxiliary information, in addition to data collected in previous surveys and censuses. Due to their importance in effective dealings with non‐sampling errors, one should make every effort to increase their availability in the statistical system and, at the same time, to develop efficient statistical methods that capitalize on the combined data sources.