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In:
Schmollers Jahrbuch (Proceedings of the 7th International Socio-Economic Panel User Conference (SOEP2006), ed. by Ferrer-i-Carbonell, Ada; Grabka, Markus M. and Kroh, Martin)
127 (2007), 1, 113-125
| Jörg-Peter Schräpler
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This paper focuses on fraud detection in surveys using Socio-Economic Panel (SOEP) data as an example for testing newly methods proposed here. A statistical theorem referred to as Benford's Law states that in many sets of numerical data, the significant digits are not uniformly distributed, as one might expect, but rather adhere to a certain logarithmic probability function. To detect fraud we ...
In:
Jahrbücher für Nationalökonomie und Statistik
231 (2011), 5-6, 685-718
| Jörg-Peter Schräpler
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Gelsenkirchen:
Institut Arbeit und Technik,
2001,
(Graue Reihe 2001-04)
| Jörg-Peter Schräpler, Diana Schumann
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This article examines the implications of moving to Computer-Assisted Personal Interviewing (CAPI) for data quality by analyzing the transition from Paper-and-Pencil (PAPI) to Computer-Assisted Personal Interviewing (CAPI) on a subsample of the German Socio-Economic Panel (SOEP) conducted using an “experimental design” in Wave 1. The 2,000 addresses for the sample E of SOEP were split into two subsamples ...
In:
Journal of Official Statistics
26 (2010), 2, 233–269
| Jörg-Peter Schräpler, Jürgen Schupp, Gert G. Wagner
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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 interviewers. These additional data (paradata) provide valuable information on respondents and nonrespondents, including ...
Berlin:
DIW Berlin,
2010,
(SOEPpapers 288)
| Jörg-Peter Schräpler, Jürgen Schupp, Gert G. Wagner
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The results of a resurvey of non-respondents to the SOEP study carried out in 2006 show that this special effort of reinterviewing was relatively ineffective in two respects. First, the rate of successful conversions of passive to active respondents was low (less than 20 percent). Second, the composition of the longitudinal file did not improve. The same groups that showed high dropout rates in the ...
Berlin:
DIW Berlin,
2013,
(SOEPpapers 626)
| Jörg-Peter Schräpler, Jürgen Schupp, Gert G. Wagner
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Berlin:
Deutsches Institut für Wirtschaftsforschung (DIW),
1999,
(Diskussionspapier Nr. 184)
| Jörg-Peter Schräpler, Gert G. Wagner
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In:
Allgemeines Statistisches Archiv (ASTA)
85 (2001), 1, 45-66
| Jörg-Peter Schräpler, Gert G. Wagner
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Bonn:
Institute for the Study of Labor (IZA),
2003,
(IZA DP No. 969)
| Jörg-Peter Schräpler, Gert G. Wagner
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In:
Allgemeines Statistisches Archiv (ASTA)
89 (2005), 1, 7-20
| Jörg-Peter Schräpler, Gert G. Wagner