A Snapshot of Central Bank (Two-Year) Forecasting: A Mixed Picture

IF 3.4 3区 经济学 Q1 ECONOMICS
Charles A. E. Goodhart, Manoj Pradhan
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引用次数: 0

Abstract

Between 2001 and 2023, Central Bank forecasts were patently inaccurate. In this paper, we argue that many of such forecast failings were already present during the earlier years of inflation targetry. Central Banks normally adjust monetary policy so that inflation hits the Inflation Target (IT) within two years. Since a central bank must believe its policy stance is appropriate to achieve this goal, its inflation forecast at the two-year horizon should generally be close to target. We examine whether this has held for three main Central Banks, Bank of England, ECB, and Fed. Although over the IT period prior to 2020, both forecasts and outcomes were commendably close to target, we found that this was due to a sizeable forecast underestimate of the effects of policy and inherent resilience to revive inflation after the GFC crisis hit, largely offset by an overestimate of the effect of monetary policy to restore inflation to target during the more normal times. We attribute such latter overestimation to an unwarranted belief in forward-looking, “well anchored”, expectations amongst households and firms, and to a failure to recognize the underlying disinflationary trends, especially in 2010–2019. We outline a novel means for assessing whether these latter trends were primarily demand driven, e.g. secular stagnation, or supply shocks, a labor supply surge. Finally, we examine how forecasts for the uncertainty of outcomes and relative risk (skew) to the central forecast have developed by examining the Bank of England's fan chart, again at the two-year horizon.

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来源期刊
CiteScore
5.40
自引率
5.90%
发文量
91
期刊介绍: The Journal of Forecasting is an international journal that publishes refereed papers on forecasting. It is multidisciplinary, welcoming papers dealing with any aspect of forecasting: theoretical, practical, computational and methodological. A broad interpretation of the topic is taken with approaches from various subject areas, such as statistics, economics, psychology, systems engineering and social sciences, all encouraged. Furthermore, the Journal welcomes a wide diversity of applications in such fields as business, government, technology and the environment. Of particular interest are papers dealing with modelling issues and the relationship of forecasting systems to decision-making processes.
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