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Ken Miyajima
Motivated by Qatar’s Third National Development Strategy, this note discusses ingredients for boosting export diversification and growth potential. Drawing on cross-country experiences and empirical analyses, we shed light on how successful policies supported building human capital and economic complexity, the type of strategy that could best suite Qatar's circumstances, and pitfalls to avoid.
International Monetary Fund. Strategy, Policy, & Review Department
The global economy has proven resilient, and a soft landing is within reach. Inflation has moderated thanks to tight monetary policy and fading supply shocks, and growth is expected to remain steady. But uncertainty remains significant, with risks tilted to the downside; medium-term growth prospects are lackluster; public debt has reached record highs and is expected to approach 100 percent of GDP by 2030; and geoeconomic fragmentation threatens to undo decades of gains from cross-border economic integration. At the same time, transformative changes—the green transition, demographic shifts, and digitalization, including artificial intelligence—are poised to reshape the global economy, creating challenges but also opportunities. Against this background, the key policy priorities are to secure a soft landing and break from the low growth-high debt path, and address other medium-term challenges. Monetary policy should ensure inflation returns durably to the target, and fiscal policy needs to decisively pivot toward consolidation to rebuild buffers and safeguard debt sustainability. Growth-enhancing reforms are urgently needed to lift growth prospects by boosting investment, job creation, and productivity. Domestic policies must be complemented by multilateral efforts to support countries with debt vulnerabilities, protect gains from economic integration, accelerate climate action, and harness benefits of new technologies while mitigating the risks. As it has done since its founding 80 years ago, the IMF will continue to adapt to serve its members with tailored policy advice, financial lifelines when needed, and capacity development. The Fund will remain a strong advocate for multilateralism and economic integration as foundations on which to build a resilient and inclusive global economy.
International Monetary Fund. Finance Dept.
This paper provides an update on the status of the SDR trading market and operations. For more than three decades, SDRs have exclusively been exchanged for freely usable currencies in transactions by agreement, primarily through the Voluntary Trading Arrangements (VTAs). A small fraction of transactions by agreement—sales or acquisitions of SDRs—has been arranged directly between parties. VTAs are bilateral arrangements between the Fund and SDR department participants or prescribed holders, in which the VTA participants agree to buy and sell SDRs within certain limits. The paper covers SDR trading operations during the period September 2023 to August 2024.
International Monetary Fund. Asia and Pacific Dept
This Selected Issues paper estimates the exchange pass-through to inflation in Singapore with a particular focus on the role of labor market conditions. The paper first finds a strong exchange rate pass-through to inflation in Singapore, after accounting for the potential endogeneity of changes in the exchange rate. Further, it uncovers that labor market tightness dampens exchange rate pass-through and therefore could weaken monetary policy transmission. Overall, the results suggest that monetary policy should be more vigilant under a tight labor market condition. Under tight market conditions, the pass-through is found to be severely weakened and more so for the service components of the consumer price index basket. Overall, our findings suggest that the exchange rate-based monetary policy serves Singapore well, but it would need to be more vigilant when the labor market is tight. The paper then draws policy implications for taming inflation under tight labor market conditions. Further, policies designed to ease structural labor market tightness could help support monetary policy to ensure price stability in Singapore. This is consistent with a recent study on the US that suggests that dealing with the inflationary pressures originating from a tight labor market would require policy actions that bring labor demand and supply into a better balance.
International Monetary Fund. Institute for Capacity Development
Capacity Development (CD), comprising technical assistance and training, fosters economic development by improving human capital and institutions in member countries. Every five years, the IMF reviews its CD Strategy to ensure that CD continues to be of high quality and well-focused on the needs of its members. This review calls for CD to become more flexible, integrated with the Fund’s policy advice and lending, and tailored to respond to member needs. The review benefitted from the recent independent evaluation of the Fund’s CD and a wide range of inputs, including internal and external consultations, surveys of recipients and development partners, staff background studies and recommendations of an External Advisory Group. The vision for CD is informed by the Fund’s comparative advantages and surveillance priorities. The proposals of the current review center around the six key areas: (1) strengthening CD prioritization and integration; (2) enhancing the funding model; (3) strengthening monitoring and evaluation; (4) modernizing modalities; (5) enhancing field presence; and (5) strengthening human resources policies for staff working on CD.
Diego Mesa Puyo
,
Augustus J Panton
,
Tarun Sridhar
,
Martin Stuermer
,
Christoph Ungerer
, and
Alice Tianbo Zhang
The global energy transition is affecting fossil fuel exporters from multiple angles. It is adding to longstanding uncertainties on relative movements of fossil fuel demand and supply—which impact fossil fuel-related exports, fiscal flows, investment and subsequently external and fiscal accounts, economic growth, and employment. While policymakers are very familiar with these challenges, they now also face expectations of a permanent decline in the long-run global demand for fossil fuels. Key factors that could determine country-level impacts include (i) the type of fossil fuel a country exports (ii) extraction costs and (iii) country characteristics. The monitoring and mitigation of fiscal risks will need to be stepped up. Fiscal policy also has a role in reducing domestic emissions, encouraging adoption of low-carbon technologies, and helping those most vulnerable to changes from the transition. Broader macroeconomic risks can be reduced by accelerating ongoing structural reforms that support alternative engines of growth. Low- or zero-carbon emission energy industries could offer new avenues that build on existing fossil fuel knowledge and infrastructure. Concurrently, improved financial regulation and supervision could reduce financial sector exposures. Finally, international coordination on the design and implementation of climate policy as well as international transfer schemes (financing and capacity development) could reduce uncertainties surrounding the transition path and associated adverse economic consequences.
Tsendsuren Batsuuri
,
Shan He
,
Ruofei Hu
,
Jonathan Leslie
, and
Flora Lutz
This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML prediction results relative to traditional econometric approaches, explores non-linear relationships among predictors indicative of IMF-supported programs, and evaluates model robustness with regard to different feature sets and time periods. ML models consistently outperform traditional methods in out-of-sample prediction of new IMF-supported arrangements with key predictors that align well with the literature and show consensus across different algorithms. The analysis underscores the importance of incorporating a variety of external, fiscal, real, and financial features as well as institutional factors like membership in regional financing arrangements. The findings also highlight the varying influence of data processing choices such as feature selection, sampling techniques, and missing data imputation on the performance of different ML models and therefore indicate the usefulness of a flexible, algorithm-tailored approach. Additionally, the results reveal that models that are most effective in near and medium-term predictions may tend to underperform over the long term, thus illustrating the need for regular updates or more stable – albeit potentially near-term suboptimal – models when frequent updates are impractical.
International Monetary Fund. Middle East and Central Asia Dept.
Swift and decisive policy response to the Covid-19 pandemic has helped to mitigate the health and economic impact of the crisis. Fast vaccination rollout has also strengthened the economy’s resilience to new pandemic waves, paving the way for a speedy recovery. As the economy rebounds, a gradual exit from pandemic support measures is underway.