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|z 9781484301180
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|a Marini, Marco.
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|a Nowcasting Annual National Accounts with Quarterly Indicators :
|b An Assessment of Widely Used Benchmarking Methods /
|c Marco Marini.
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|a Washington, D.C. :
|b International Monetary Fund,
|c 2016.
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|a 1 online resource (25 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 Benchmarking methods can be used to extrapolate (or 'nowcast') low-frequency benchmarks on the basis of available high-frequency indicators. Quarterly national accounts are a typical example, where a number of monthly and quarterly indicators of economic activity are used to calculate preliminary annual estimates of GDP. Using both simulated and real-life national accounts data, this paper aims at assessing the prediction accuracy of three benchmarking methods widely used in the national accounts compilation: the proportional Denton method, the proportional Cholette-Dagum method with first-order autoregressive error, and the regression-based Chow-Lin method. The results show that the Cholette-Dagum method provides the most accurate extrapolations when the indicator and the annual benchmarks move along the same trend. However, the Denton and Chow-Lin methods could prevail in real-life cases when the quarterly indicator temporarily deviates from the target series.
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|a Mode of access: Internet
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|a Morocco
|2 imf
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|a IMF Working Papers; Working Paper ;
|v No. 2016/071
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|z Full text available on IMF
|u http://elibrary.imf.org/view/journals/001/2016/071/001.2016.issue-071-en.xml
|z IMF e-Library
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