When survey science met web tracking: presenting an error framework for metered data
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References listed on IDEAS
- D. L. Oberski & A. Kirchner & S. Eckman & F. Kreuter, 2017. "Evaluating the Quality of Survey and Administrative Data with Generalized Multitrait-Multimethod Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1477-1489, October.
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Cited by:
- Keusch, Florian & Pankowska, Paulina & Cernat, Alexandru & Bach, Ruben L., 2023. "Do you have two minutes to talk about your data? Willingness to participate and nonparticipation bias in Facebook data donation," SocArXiv n9rx3, Center for Open Science.
- Camilla Salvatore, 2023. "Inference with non-probability samples and survey data integration: a science mapping study," METRON, Springer;Sapienza Università di Roma, vol. 81(1), pages 83-107, April.
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More about this item
Keywords
digital trace data; error framework; metered data; passive data; total survey error; web-tracking;All these keywords.
JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-PAY-2022-12-19 (Payment Systems and Financial Technology)
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