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Two years after the onset of the COVID-19 pandemic, a puzzle has emerged in several advanced economies: unfilled job vacancies have increased sharply even though employment has yet to fully recover. This note sheds light on three contributing factors, namely barriers to returning to work, changing worker preferences away from certain types of jobs, and sectoral and occupational job mismatch. The note also assesses the impact of labor market tightness on wage growth, showing that it has been large for low-pay jobs but milder overall. Bringing disadvantaged groups of workers into the labor force, including by controlling the pandemic itself, would ease labor market pressures while amplifying the recovery and making it more inclusive.
2024 Selected Issues
This guidance note provides operational guidance on the Fund’s engagement with small developing states (SDS). It highlights the unique economic characteristics and constraints facing SDS, notably in a more shock-prone world. Building on advice that applies to the full membership, the note explains how the characteristics of SDS shape Fund surveillance, financial support and program design, capacity development (CD), and collaboration with other institutions and donors. The note updates the previous version that was published in December 2017.
Portugal: Selected Issues
We study the global inflation surge during the pandemic recovery and the implications for aggregate and sectoral Phillips curves. We provide evidence that Phillips curves shifted up and steepened across advanced economies, and that differences in the inflation response across sectors imply the relative price of goods has been pro-cyclical this time around rather than a-cyclical as during previous cycles. We show analytically that these three features emerge endogenously in a two-sector new-Keynesian model when we introduce unbalanced recoveries that run against a supply constraint in the goods sector. A calibrated exercise shows that the resulting changes to the output-inflation relation are quantitatively important and improve the model's ability to replicate the inflation surge during this period.
This paper proposes an easy-to-follow approach to track merchandise trade using vessel data and applies it to Pacific island countries. Pacific islands rely heavily on imports and maritime transport for trade. They are also highly vulnerable to climate change and natural disasters that pose risks to ports and supply chains. Using satellite-based vessel tracking data from the UN Global Platform, we construct daily indicators of port and trade activity for Pacific island countries. The algorithm significantly advances estimation techniques of previous studies, particularly by employing ways to overcome challenges with the estimation of cargo payloads, using detailed information on shipping liner schedules to validate port calls, and applying country-specific information to define port boundaries. The approach can complement and help fill gaps in official data, provide early warning signs of turning points in economic activity, and assist policymakers and international organizations to monitor and provide timely responses to shocks (e.g., COVID-19).
Maritime data from the Automatic Identification System (AIS) have emerged as a potential source for real time information on trade activity. However, no globally applicable end-to-end solution has been published to transform raw AIS messages into economically meaningful, policy-relevant indicators of international trade. Our paper proposes and tests a set of algorithms to fill this gap. We build indicators of world seaborne trade using raw data from the radio signals that the global vessel fleet emits for navigational safety purposes. We leverage different machine-learning techniques to identify port boundaries, construct port-to-port voyages, and estimate trade volumes at the world, bilater...
The book presents a structured discussion of measuring the key economic and financial dimensions of climate change. It combines economic theory and analysis with real world examples of how climate data can be constructed for different country settings, based on existing climate science and economic data. The book will serve as a reference point for the IMF’s Climate Change Indicators Dashboard (CID). A guiding principle of the book is that there are important climate data gaps, but also practical and innovative approaches to close many of them. The book discusses how to track greenhouse gas emissions by production and consumption (Chapters 1-2), which lead to physical risks (Chapters 3-4) and transition risks (Chapters 5-7) and conclude with cross-border dimensions of climate risks (Chapters 8-9).
In 2020, the COVID-19 pandemic caused by far the largest shock to European economies since World War II. Yet, astonishingly, the EU unemployment rate had already declined to its pre-crisis level by 2021Q3, and in some countries the labor force participation rate is at a record high. This paper documents that the widespread use of job retention schemes has played an essential role in mitigating the pandemic’s impact on labor markets and thereby facilitating the restart of European economies after the initial lockdowns.
The war in Ukraine is taking a growing toll on Europe’s economies. The worsening energy crisis has depressed households’ purchasing power and raised firms’ costs, only partly offset by new government support. Central banks in the region and the world are acting more forcefully to bring high and persistent inflation down to targets, and global financial conditions have tightened. European policymakers are facing severe trade-offs and tough policy choices. A tightening macroeconomic policy stance is needed to bring down inflation, while helping vulnerable households and viable firms weather the energy crisis. But policies need to stay nimble and agile and adjust should additional shocks materialize.