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02022cas a2200313 a 4500 |
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|c 5.00 USD
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|z 9781455270507
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|a 1018-5941
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|a BD-DhAAL
|c BD-DhAAL
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|a Weber, Michael.
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|a Avoid Filling Swiss Cheese with Whipped Cream :
|b Imputation Techniques and Evaluation Procedures for Cross-Country Time Series /
|c Michael Weber, Michaela Denk.
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|a Washington, D.C. :
|b International Monetary Fund,
|c 2011.
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|a 1 online resource (27 pages)
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|a IMF Working Papers
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|a <strong>Off-Campus Access:</strong> No User ID or Password Required
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|a <strong>On-Campus Access:</strong> No User ID or Password Required
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|a Electronic access restricted to authorized BRAC University faculty, staff and students
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|a 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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|a Mode of access: Internet
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|a Cross-Sectional Time Series
|2 imf
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|a Data Pattern
|2 imf
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|a Imputed Dataset
|2 imf
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|a Time Series Data
|2 imf
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|a WP
|2 imf
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|a Denk, Michaela.
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|a IMF Working Papers; Working Paper ;
|v No. 2011/151
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| 856 |
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|z Full text available on IMF
|u http://elibrary.imf.org/view/journals/001/2011/151/001.2011.issue-151-en.xml
|z IMF e-Library
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