Avoid Filling Swiss Cheese with Whipped Cream Imputation Techniques and Evaluation Procedures for Cross-Country Time Series
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 investiga...
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Format: | eBook |
Language: | English |
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Washington, D.C.
International Monetary Fund
2011
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Series: | IMF Working Papers
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Collection: | International Monetary Fund - Collection details see MPG.ReNa |
Summary: | 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 |
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Physical Description: | 27 pages |
ISBN: | 9781455270507 |