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...

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Bibliographic Details
Main Author: Marini, Marco
Format: eBook
Language:English
Published: Washington, D.C. International Monetary Fund 2016
Series:IMF Working Papers
Subjects:
Online Access:
Collection: International Monetary Fund - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:25 pages
ISBN:9781484301180