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  • Search: subject:"coverage bias"
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Year of publication
Subject
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Bias 2 Panel survey 2 coverage bias 2 inverse probability weighting 2 labour market analysis 2 log-linear modelling 2 media bias 2 media economics 2 non-coverage bias 2 residential mobility 2 social media 2 user-generated content 2 Communication media 1 Customer integration 1 Deutschland 1 Estimated-control calibration 1 Kommunikationsmedien 1 Kundenintegration 1 Mean square error estimation 1 Media economics 1 Medienökonomik 1 Panel 1 Qualitatives Verfahren 1 Sampling frame coverage bias 1 Schätzung 1 Simulation 1 Social Web 1 Social web 1 Statistics 1 Survey-estimated control totals 1 Systematischer Fehler 1 Variance estimators 1 Web 2.0 technologies 1 Web 2.0-Technologien 1 Wohnungswechsel 1
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Online availability
All
Free 5
Type of publication
All
Book / Working Paper 5
Type of publication (narrower categories)
All
Working Paper 3 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Thesis 1
Language
All
English 5
Author
All
Basic, Edin 2 Kerkhof, Anna 2 Münster, Johannes 2 Rendtel, Ulrich 2 Dever, Jill A 1 Valliant, Richard 1
Institution
All
Fachbereich Wirtschaftswissenschaft, Freie Universität Berlin 1
Published in...
All
CESifo Working Paper 1 CESifo working papers 1 Discussion Papers / Fachbereich Wirtschaftswissenschaft, Freie Universität Berlin 1 Diskussionsbeiträge 1
Source
All
EconStor 2 BASE 1 ECONIS (ZBW) 1 RePEc 1
Showing 1 - 5 of 5
Cover Image
Detecting Coverage Bias in User-Generated Content
Kerkhof, Anna; Münster, Johannes - 2021
bias on user-generated content platforms are rare. We develop a novel procedure to detect coverage bias – i.e., bias in the … disentangle coverage bias from unobserved heterogeneity between observations. We apply our procedure to Wikipedia and examine … whether it has a coverage bias in its biographies of German (and French) Members of Parliament (MPs). Our analysis reveals a …
Persistent link: https://www.econbiz.de/10012492990
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Cover Image
Detecting coverage bias in user-generated content
Kerkhof, Anna; Münster, Johannes - 2021
bias on user-generated content platforms are rare. We develop a novel procedure to detect coverage bias – i.e., bias in the … disentangle coverage bias from unobserved heterogeneity between observations. We apply our procedure to Wikipedia and examine … whether it has a coverage bias in its biographies of German (and French) Members of Parliament (MPs). Our analysis reveals a …
Persistent link: https://www.econbiz.de/10012418534
Saved in:
Cover Image
Sampling Weight Calibration with Estimated Control Totals
Dever, Jill A - 2008
Sample weight calibration, also referred to as calibration estimation, is a widely applied technique in the analysis of survey data. This method borrows strength from a set of auxiliary variables and can produce weighted estimates with smaller mean square errors than those estimators that do not...
Persistent link: https://www.econbiz.de/10009450742
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Cover Image
Assessing the bias due to non-coverage of residential movers in the German microcensus panel: an evaluation using data from the socio-economic panel
Rendtel, Ulrich; Basic, Edin - 2007
The German Microcensus (MC) is a large scale rotating panel survey over three years. The MC is attractive for longitudinal analysis over the entire participation duration because of the mandatory participation and the very high case numbers (about 200 thousand respondents). However, as a...
Persistent link: https://www.econbiz.de/10010299117
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Cover Image
Assessing the bias due to non-coverage of residential movers in the German microcensus panel: an evaluation using data from the socio-economic panel
Rendtel, Ulrich; Basic, Edin - Fachbereich Wirtschaftswissenschaft, Freie Universität … - 2007
The German Microcensus (MC) is a large scale rotating panel survey over three years. The MC is attractive for longitudinal analysis over the entire participation duration because of the mandatory participation and the very high case numbers (about 200 thousand respondents). However, as a...
Persistent link: https://www.econbiz.de/10008533663
Saved in:
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