Avoid Filling Swiss Cheese with Whipped Cream: Imputation Techniques and Evaluation Procedures for Cross-Country Time Series
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Bibliographische Detailangaben
Beteilige Person: Weber, Michael (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Washington, D.C International Monetary Fund 2011
Schriftenreihe:IMF Working Papers Working Paper No. 11/151
Links:http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
http://elibrary.imf.org/view/IMF001/11975-9781455270507/11975-9781455270507/11975-9781455270507.xml
Abstract:International organizations collect data from national authorities to create multivariate cross-sectional time series for their analyses. As data from countries with not yet well-established statistical systems may be incomplete, the bridging of data gaps is a crucial challenge. This paper investigates data structures and missing data patterns in the cross-sectional time series framework, reviews missing value imputation techniques used for micro data in official statistics, and discusses their applicability to cross-sectional time series. It presents statistical methods and quality indicators that enable the (comparative) evaluation of imputation processes and completed datasets
Umfang:1 Online-Ressource (27 p)
ISBN:1455270504
9781455270507