Taylor, Nick James 2014. Economic forecast quality: information timeliness and data vintage effects. Empirical Economics 46 (1) , pp. 145-174. 10.1007/s00181-012-0672-3 |
Abstract
This paper investigates the impact of the timeliness of information releases and data vintage variation on economic forecast quality. Specifically, using a set of 63 key US economic series, we provide a concise measure of the forecast accuracy associated with use of economic activity indices with different publication lags. A forecasting model based on an economic activity index that is subject to a short publication lag (viz. the Aruoba-Diebold-Scotti index) is more efficient than competing models. Moreover, if this publication lag advantage is removed (by artificially imposing a publication lag restriction comparable to that of a competing indicator) this efficiency largely disappears. The final part of the analysis employs a novel (simulation-based) method of assessing the impact of data vintage variation on forecast accuracy, and finds that the results are somewhat sensitive to such variation.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Schools > Business (Including Economics) |
Subjects: | H Social Sciences > HB Economic Theory |
Uncontrolled Keywords: | Economic forecasting, Publication lags, Data vintage, C22, C53, E00 |
Publisher: | Springer |
ISSN: | 0377-7332 |
Last Modified: | 25 Feb 2019 16:26 |
URI: | https://orca.cardiff.ac.uk/id/eprint/49934 |
Citation Data
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