Nowcasting Annual National Accounts with Quarterly Indicators

Nowcasting Annual National Accounts with Quarterly Indicators
Author :
Publisher : International Monetary Fund
Total Pages : 25
Release :
ISBN-10 : 9781484301180
ISBN-13 : 1484301188
Rating : 4/5 (188 Downloads)

Book Synopsis Nowcasting Annual National Accounts with Quarterly Indicators by : Mr.Marco Marini

Download or read book Nowcasting Annual National Accounts with Quarterly Indicators written by Mr.Marco Marini and published by International Monetary Fund. This book was released on 2016-03-18 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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