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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| Формат: | Журнал |
| Мова: | English |
| Опубліковано: |
Washington, D.C. :
International Monetary Fund,
2011.
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| Серія: | IMF Working Papers; Working Paper ;
No. 2011/151 |
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| Онлайн доступ: | Full text available on IMF |
| Резюме: | 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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| Опис примірника: | <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required |
| Фізичний опис: | 1 online resource (27 pages) |
| Формат: | Mode of access: Internet |
| ISSN: | 1018-5941 |
| Доступ: | Electronic access restricted to authorized BRAC University faculty, staff and students |