Estimates of potential output are an important component of a structured forecasting and policy analysis system. Using information on capacity utilization, this paper extends the multivariate filter developed by Laxton and Tetlow (1992) and modified by Benes and others (2010), Blagrave and others (2015), and Alichi and others (2015). We show that, although still fairly uncertain, the real-time estimates from this approach are more accurate than estimates constructed from naïve univariate statistical filters. The paper presents illustrative estimates for the United States and discusses how the end-of-sample estimates can be improved with additional information.
Estimates of potential output are an important component of a structured forecasting and policy analysis system. Using information on consensus forecasts, this paper extends the multivariate filter developed by Laxton and Tetlow (1992) and modified by Benes and others (2010) and Blagrave and others (2015). We show that, although still fairly uncertain, the real time estimates from this approach are more accurate relative to those of naïve univariate statistical filters. The paper presents estimates for the euro area and the United States and discusses how the filtered estimates at the end of the sample period can be improved with additional information. JEL Classification Numbers: C51, E31, E52
South Asia needs large infrastructure investments to achieve its development goals, and public investment can also support the Covid-19 recovery. Regression estimates that account for the quantity and quality of investment suggest that public infrastructure was a key driver of productivity growth in South Asia. Going forward, higher public infrastructure spending can raise growth, but its benefits depend on how it is financed and managed. Model simulations show that tax financing, concessional lending, or private sector financing through public private partnerships (PPPs) are more advantageous than government borrowing through financial markets because they support growth while containing the impact on public debt. However, the optimal choice also depends on available fiscal space, taxation capacity, implementation risks, and public investment efficiency. To reap the most benefits from higher infrastructure investment, South Asian countries need to manage fiscal risks carefully, including from PPPs and state-owned enterprises, and improve public investment efficiency.
Estimates of potential output and the neutral short-term interest rate play important roles in policy making. However, such estimates are associated with significant uncertainty and subject to significant revisions. This paper extends the structural multivariate filter methodology by adding a monetary policy block, which allows estimating the neutral rate of interest for the U.S. economy. The addition of the monetary policy block further improves the reliability of the structural multivariate filter.
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