Nowcasting Annual National Accounts with Quarterly Indicators : An Assessment of Widely Used Benchmarking Methods /

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 prel...

Cur síos iomlán

Sonraí bibleagrafaíochta
Príomhchruthaitheoir: Marini, Marco
Formáid: IRIS
Teanga:English
Foilsithe / Cruthaithe: Washington, D.C. : International Monetary Fund, 2016.
Sraith:IMF Working Papers; Working Paper ; No. 2016/071
Ábhair:
Rochtain ar líne:Full text available on IMF
Cur síos
Achoimre: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.
Cur síos ar an mír:<strong>Off-Campus Access:</strong> No User ID or Password Required
<strong>On-Campus Access:</strong> No User ID or Password Required
Cur síos fisiciúil:1 online resource (25 pages)
Formáid:Mode of access: Internet
ISSN:1018-5941
Rochtain:Electronic access restricted to authorized BRAC University faculty, staff and students