The real-time predictive content of money for output

• 成果类型: Article
• 署名作者: Amato, JD; Swanson, NR
• 署名单位: Bank for International Settlements (BIS); Texas A&M University System; Texas A&M University College Station
• 刊物名称: JOURNAL OF MONETARY ECONOMICS
• ISSN/ISSBN: 0304-3932
• DOI: 10.1016/S0304-3932(01)00070-8
• 发表日期: 2001
• 页码: 3-24
• 关键词: money; Real-time data; causality

摘要

Data on monetary aggregates are subject to periodic redefinitions, presumably in part to improve their link to measures of output. Money data are also revised on a regular basis. Taking these data imperfections into account, we reassess the evidence on the marginal predictive content of MI and M2 for real and nominal output. In particular, first by using the latest version of the data that is available, and then using sequences of historical time series that would have been available to forecasters in real-time, we are able to provide a comprehensive assessment of whether money is useful for predicting output. We conclude that the generally significant marginal predictive content of M1 or M2 for output that is found using a recently revised data set is not duplicated in a realtime setting, although M2 is shown to remain useful when 1-year ahead forecasts are constructed using fitted vector autoregressive models. (C) 2001 Elsevier Science B.V. All rights reserved.