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 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.
Publication date: June 2011
ISBN: 9781455270507
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Topics covered in this book

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Economics- Macroeconomics , Economics / General , International - Economics , time series , missing data , statistics , survey , time series data , samples , bootstrap , statistical methods , prediction , cluster analysis , sampling , probability , research methods , time series models , regression models , time series analysis , surveys , optimization , statistician

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