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Varianzschätzung für Mikrozensus Scientific Use Files ab 2005

Variance estimation for the scientific use file of the German Microcensus from 2005 onwards
[working paper]

Schimpl-Neimanns, Bernhard

Corporate Editor
GESIS - Leibniz-Institut für Sozialwissenschaften

Abstract

"Mit der Umstellung des Mikrozensus ab 2005 auf eine kontinuierliche Erhebung mit gleitender Berichtswoche sind auch die bei der Hochrechnung der Stichprobenergebnisse angewendeten Verfahren modifiziert worden. Nach der Darstellung des Stichprobendesigns des Mikrozensus und der Modifikationen wird b... view more

"Mit der Umstellung des Mikrozensus ab 2005 auf eine kontinuierliche Erhebung mit gleitender Berichtswoche sind auch die bei der Hochrechnung der Stichprobenergebnisse angewendeten Verfahren modifiziert worden. Nach der Darstellung des Stichprobendesigns des Mikrozensus und der Modifikationen wird beschrieben, wie mit den Scientific Use Files des Mikrozensus ab 2005 der Stichprobenfehler mit freier Hochrechnung (Designgewichtung) und gebundener Hochrechnung (Anpassungsgewichtung, Kalibrierung) für Gesamt- und Anteilswerte geschätzt werden kann." (Autorenreferat)... view less


"Starting in 2005 the German Microcensus was organized as a continuous survey with a moving reference week. In 2005 the procedures used to estimate statistical population parameters have also been modified. After the presentation of the sampling design and the recent modifications the paper shows ho... view more

"Starting in 2005 the German Microcensus was organized as a continuous survey with a moving reference week. In 2005 the procedures used to estimate statistical population parameters have also been modified. After the presentation of the sampling design and the recent modifications the paper shows how sampling errors for totals and ratios using the Microcensus Scientific Use Files from 2005 can be estimated using design weights as well as calibration weights." (author's abstract)... view less

Keywords
microcensus; sample; analysis of variance; projection (statistical); analysis procedure; data quality; data capture

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Method
empirical; development of methods; quantitative empirical; basic research

Document language
German

Publication Year
2010

City
Mannheim

Page/Pages
29 p.

Series
GESIS-Technical Reports, 2010/03

Licence
Deposit Licence - No Redistribution, No Modifications


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© 2007 - 2018 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2017, DuraSpace. All rights reserved.