02022cas a2200313 a 4500 AALejournalIMF007276 230101c9999 xx r poo 0 0eng d 5.00 USD 9781455270507 1018-5941 BD-DhAAL BD-DhAAL Weber, Michael. Avoid Filling Swiss Cheese with Whipped Cream : Imputation Techniques and Evaluation Procedures for Cross-Country Time Series / Michael Weber, Michaela Denk. Washington, D.C. : International Monetary Fund, 2011. 1 online resource (27 pages) IMF Working Papers <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required Electronic access restricted to authorized BRAC University faculty, staff and students 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. Mode of access: Internet Cross-Sectional Time Series imf Data Pattern imf Imputed Dataset imf Time Series Data imf WP imf Denk, Michaela. IMF Working Papers; Working Paper ; No. 2011/151 Full text available on IMF http://elibrary.imf.org/view/journals/001/2011/151/001.2011.issue-151-en.xml IMF e-Library