02095cas a2200253 a 4500 AALejournalIMF016714 230101c9999 xx r poo 0 0eng d 5.00 USD 9781484301180 1018-5941 BD-DhAAL BD-DhAAL Marini, Marco. Nowcasting Annual National Accounts with Quarterly Indicators : An Assessment of Widely Used Benchmarking Methods / Marco Marini. Washington, D.C. : International Monetary Fund, 2016. 1 online resource (25 pages) IMF Working Papers <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required Electronic access restricted to authorized BRAC University faculty, staff and students 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. Mode of access: Internet Morocco imf IMF Working Papers; Working Paper ; No. 2016/071 Full text available on IMF http://elibrary.imf.org/view/journals/001/2016/071/001.2016.issue-071-en.xml IMF e-Library