Incomplete data is a common problem of survey research. Recent work on multiple imputation techniques has increased analysts' awareness of the biasing effects of missing data and has also provided a convenient solution. Imputation methods replace non-response with estimates of the unobserved scores. In many instances, however, non-response to a stimulus does not result from measurement problems that ...
In:
Quality & Quantity
40 (2006), 2, S. 225-244
| Martin Kroh
Many validation studies deal with item nonresponse and measurement error in earning data. In this paper, we explore motives of respondents for the failure to reveal earnings using the British Household Panel Study (BHPS). The BHPS collects socio-economic information of private households in Great Britain. We explain the evolution of income-nonresponse in the BHPS and demonstrate the importance of a ...