This paper presents two new tools for the identification of faking interviewers in surveys. One method is based on Benford?s Law, and the other exploits the empirical observation that fakers most often produce answers with less variability than could be expected from the whole survey. We focus...

Multivariate Adaptive Regression Spline (MARS) is a simple and powerful non-parametric technique that automatizes the selection of non-linear terms in regression models. Non-linearities and spatial effects are natural characteristics in numerous spatial hedonic pricing models. In this paper, we...

To the best of our knowledge, most of the few methodological studies which analyze the impact of faked interviews on survey results are based on 'artificial fakes' generated by project students in a 'laboratory environment'. In contrast, panel data provide a unique opportunity to identify data...