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Estimates of Potential Output and the Neutral Rate for the U.S. Economy
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.
An Index for Transparency for Inflation-Targeting Central Banks: Application to the Czech National Bank
This paper develops a new central bank transparency index for inflation-targeting central banks (CBT-IT index). It applies the CBT-IT index to the Czech National Bank (CNB), one of the most transparent inflation-targeting central banks. The CNB has invested heavily in developing a Forecasting and Policy Analysis System (FPAS) to implement a full-fledged inflation-forecast-targeting (IFT) regime. The components of CBT-IT index include measures of transparency about monetary policy objectives, the FPAS designed to support IFT, and the monetary policymaking process. For the CNB, all three components have shown substantial improvements over time but a few gaps remain. The CNB is currently working on eliminating some of these gaps.
Global Implications of Lower Oil Prices
The sharp drop in oil prices is one of the most important global economic developments over the past year. The SDN finds that (i) supply factors have played a somewhat larger role than demand factors in driving the oil price drop, (ii) a substantial part of the price decline is expected to persist into the medium term, although there is large uncertainty, (iii) lower oil prices will support global growth, (iv) the sharp oil price drop could still trigger financial strains, and (v) policy responses should depend on the terms-of-trade impact, fiscal and external vulnerabilities, and domestic cyclical position.
Shifting Commodity Markets in a Globalized World
A survey of the complex and intertwined set of forces behind the various commodity markets and the interplay between these markets and the global economy. Summarizes a rich set of facts combined with in-depth analyses distillated in a nontechnical manner. Includes discussion of structural trends behind commodities markets, their future implications, and policy implications.
IMF Research Bulletin, Summer 2017
The Summer 2017 issue of the IMF Research Bulletin highlights new research such as recent IMF Working Papers and Staff Discussion Notes. The Research Summaries are “Structural Reform Packages, Sequencing, and the Informal Economy (by Zsuzsa Munkacsi and Magnus Saxegaard) and “A Broken Social Contract, Not High Inequality Led to the Arab Spring” (by Shantayanan Devarajan and Elena Ianchovichina). The Q&A section features “Seven Questions on Fintech” (by Tommaso Mancini-Griffoli). The Bulletin also includes information on recommended titles from IMF Publications and the latest articles from the IMF Economic Review.
World Economic Outlook, April 2017
Global economic activity is picking up with a long-awaited cyclical recovery in investment, manufacturing, and trade, according to Chapter 1 of this World Economic Outlook. World growth is expected to rise from 3.1 percent in 2016 to 3.5 percent in 2017 and 3.6 percent in 2018. Stronger activity, expectations of more robust global demand, reduced deflationary pressures, and optimistic financial markets are all upside developments. But structural impediments to a stronger recovery and a balance of risks that remains tilted to the downside, especially over the medium term, remain important challenges. Chapter 2 examines how changes in external conditions may affect the pace of income convergence between advanced and emerging market and developing economies. Chapter 3 looks at the declining share of income that goes to labor, including the root causes and how the trend affects inequality. Overall, this report stresses the need for credible strategies in advanced economies and in those whose markets are emerging and developing to tackle a number of common challenges in an integrated global economy.
Multivariate Filter Estimation of Potential Output for the United States: An Extension with Labor Market Hysteresis
This paper extends the multivariate filter approach of estimating potential output developed by Alichi and others (2018) to incorporate labor market hysteresis. This extension captures the idea that long and deep recessions (expansions) cause persistent damage (improvement) to the labor market, thereby reducing (increasing) potential output. Applying the model to U.S. data results in significantly smaller estimates of output gaps, and higher estimates of the NAIRU, after the global financial crisis, compared to estimates without hysteresis. The smaller output gaps partly explain the absence of persistent deflation despite the slow recovery during 2010-2017. Going forward, if strong growth performance continues well beyond 2018, hysteresis is expected to result in a structural improvement in growth and employment.
Oil Prices and the Global Economy
This paper presents a simple macroeconomic model of the oil market. The model incorporates features of oil supply such as depletion, endogenous oil exploration and extraction, as well as features of oil demand such as the secular increase in demand from emerging-market economies, usage efficiency, and endogenous demand responses. The model provides, inter alia, a useful analytical framework to explore the effects of: a change in world GDP growth; a change in the efficiency of oil usage; and a change in the supply of oil. Notwithstanding that shale oil production today is more responsive to prices than conventional oil, our analysis suggests that an era of prolonged low oil prices is likely to be followed by a period where oil prices overshoot their long-term upward trend.
Armenia
Armenia is facing considerable fiscal risks from climate change due to increasing and highly variable temperatures. This report provides guidance on how to quantify those risks over the long term, using an empirical approach to identify the potential impact of a range of temperature scenarios on GDP and the public finances. It finds that an extreme unmitigated temperature scenario that incorporates higher year to year variability could reduce GDP by 18 percent relative to baseline, and lead to unsustainable public debt trajectory by 2070. It also finds particular exposures to climate change on the state’s balance sheet through its SOE, PPP and on lending portfolio in the energy, water and transport sectors.
Another Piece of the Puzzle: Adding Swift Data on Documentary Collections to the Short-Term Forecast of World Trade
This paper extends earlier research by adding SWIFT data on documentary collections to the short-term forecast of international trade. While SWIFT documentary collections accounted for just over one percent of world trade financing in 2020, they have strong explanatory power to forecast world trade and national trade in selected economies. The informational content from documentary collections helps improve the forecast of world trade, while a horse race with machine learning algorithms shows significant non-linearities between trade and its determinants during the Covid-19 pandemic.
