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This paper demonstrates the spatial evaluation of survey data from the German Socio-Economic Panel (SOEP) study using geo-coordinates and spatially relevant indicators from remote sensing data. By geocoding the addresses of survey households with block-level geographic precision (while...
Persistent link: https://www.econbiz.de/10011600925
This study examines the phenomenon of nonresponse in the first wave of a refresher sample (subsample H) of the German Socio-Economic Panel Study (SOEP). Our first step is to link additional (commercial) microgeographic data on the immediate neighborhoods of the households visited by...
Persistent link: https://www.econbiz.de/10011600930
Since it is still unclear to what extent time allocation retrospectively reported in questionnaires, reflects people's actual behavior, examining the accuracy of responses to time use survey questions is of crucial importance. We analyze the congruence of time use information assessed through...
Persistent link: https://www.econbiz.de/10011601032
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...
Persistent link: https://www.econbiz.de/10010261661
A particular shortcoming of panel surveys is potential bias arising from selective attrition. Based on data from the German Socio-Economic Panel Study (SOEP) we analyze potential artifacts (level, structure, inequality of income) by comparing results from two independently drawn panel...
Persistent link: https://www.econbiz.de/10010261814
Typically, laboratory experiments suffer from homogeneous subject pools and self-selection biases. The usefulness of survey data is limited by measurement error and by the questionability of their behavioral relevance. Here we present a method integrating interactive experiments and...
Persistent link: https://www.econbiz.de/10010262013