Working Papers

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2024

August 9, 2024

Fiscal R-Star: Fiscal-Monetary Tensions and Implications for Policy

Description: Since the Global Financial Crisis, fiscal policy in advanced economies has become more “active” – that is, increasingly unresponsive to rising debt levels. This paper explores tensions between active fiscal and monetary policies by introducing the concept of “fiscal r-star,” which is the real interest rate required to stabilize debt levels when the primary balance is set exogenously, output is growing at potential, and inflation is at target. It is proposed that the difference between monetary r-star and fiscal r-star—referred to as the “fiscal monetary gap”—is a proxy for fiscal-monetary policy tensions. An analysis of over 140 years of data from 16 advanced economies shows that larger fiscal-monetary gaps are associated with rising debt levels, higher inflation, financial repression, lower real returns on bonds and cash, with elevated risks of future debt, inflation, currency, housing, and systemic crises. Current estimates indicate that fiscal-monetary tensions are at historic highs. Given the tepid growth outlook, growth-enhancing reforms and fiscal consolidation, among other policy adjustments, may be needed to attenuate fiscal-monetary tensions over time.

August 9, 2024

The Role of IMF Arrangements in Restoring Access to International Capital Markets

Description: Using a database of emerging market fundamentals and bond index spreads across 56 frontier and emerging market countries rated below investment grade during the period 2002-22, we assess whether IMF arrangements can restore access to international capital markets (ICM) for countries in distress through liquidity and conditionality channels. We find that global financial conditions and debt/GDP are the most important determinants of access to ICM within the horizon of a typical IMF arrangement. Using an event study methodology, we show that spreads increase prior to the start of an IMF arrangement and then decrease gradually. By exploiting different characteristics of IMF arrangements, we find evidence that the reforms implemented under the IMF arrangement, as measured by rounds of successful IMF reviews, matter more in the medium term than the IMF’s role as a liquidity provider. These results are consistent with our analysis of 55 credit rating upgrades to ICM access levels, which suggests that debt reduction plays the largest role and that IMF arrangements lend credibility to reforms.

August 9, 2024

Okun in the Euro: New Evidence from Structural Okun Law’s Estimates for the Euro Area, 1979-2019

Description: This paper provides new estimates of Okun’s unemployment-output relationship in euro area countries between 1979 and 2019. We find our structural estimates are stable but substantially lower than the reduced-form estimates that tend to characterise the literature and that the responsiveness of output to unemployment is driven by idiosyncratic factors in both euro core and periphery countries. The results are robust to conditioning on wage bargaining institutional set-ups and, yet, in the euro periphery, we find product market regulation as playing a major role in explaining the significance of Okun’s law estimates across countries.

August 9, 2024

Labor Market Gender Gaps in Türkiye: A Bird’s Eye View

Description: Despite recent improvements, Türkiye’s low female labor force participation and high share of informal female workers stand out internationally. Closing these gender gaps would boost medium-term growth and make it more inclusive. This paper puts these gaps in an international context, explores their interlinkages with fiscal policies, and identifies policy priorities.

August 9, 2024

ECB Spillovers to Emerging Europe: The Past and Current Experience

Description: We provide new evidence on the spillover effects of ECB monetary policy shocks to emerging European economies, using a combination of empirical methods and model-based simulations and focusing on spillovers from interest rate and balance sheet policies implemented by the ECB. We consider an event study set around the ECB policy announcement in June 2022 and also use local projections to estimate regional spillovers in a panel of 16 Emerging European countries spanning 1999 to 2022. Identifying ECB monetary policy shocks as the unexplained component of changes in the three-month Euribor futures rate, we find that ECB monetary policy tightening induces more than one-for-one changes in government bond yields in Emerging Europe, as well as sizable increases in sovereign spreads, domestic currency depreciations, and significantly lower output. Model simulations using a two-country DSGE calibrated to the euro area and its Eastern European neighbors reveal that a conventional tightening, achieved through interest rate increases, provides a more favorable inflation-output trade-off compared to balance sheet tightenings. The extent of spillovers from quantitative tightening depends on the speed of balance sheet reduction, and it is larger under a fixed exchange rate regime.

August 2, 2024

Productive Capacities, Economic Vulnerability and Growth Volatility in Sub-Saharan Africa

Description: Sub-Saharan Africa (SSA) countries, like most developing countries, face major challenges to achieve strong, sustainable, and inclusive growth with the view to reduce significantly persistent poverty and inequality. Many of these challenges results from a high level of economic vulnerability due to simultaneous shocks, notably the Covid-19 pandemic, climate change and the multiplicity of armed conflicts. Hence the need to study policies and means of strengthening economic resilience to shocks. This paper analyzes the effects of productive capacities on the volatility of economic growth in SSA countries when faced with significant vulnerability. The study covers the period 2000-2018 for 43 SSA countries. Using Generalized Method of Moments (GMM), the results show that economic vulnerability contributes to growth volatility in SSA. However, this effect varies according to the performance of productive capacities. Countries with high productive capacities have greater opportunities to mitigate the effect of economic vulnerability on growth volatility. Some specific dimensions of productive capacities (Institutions, ICT) seem to matter more than others. The results of this study provide important recommendations to policy makers.

August 2, 2024

Whose Asset Sales Matter?

Description: Using novel data on bond trading in the UK, we develop a new measure of selling pressure that can be applied to any trader. We identify exogenous selling pressure in a bond using traders’ sales of other, unrelated bonds.The price impact of a sale depends on who is selling: sales by dealers and hedge funds generate significantly larger impacts than equally sized sales by other investors. We rationalise our findings using a model of differentially informed investors. All else equal, our results suggest that more attention should be devoted to risks to financial stability from these impactful sellers.

August 2, 2024

Managing Foreign Exchange Rate Risk: Capacity Development for Public Debt Managers in Emerging Market and Low-Income Countries

Description: This paper presents some sound practices for foreign-currency risk management in developing countries and outlines instruments for managing sovereign debt portfolio currency exposures. Adoption of a debt management strategy with well-defined targets for foreign exchange risk is a critical element of public debt risk management. To this end, public debt managers often need to face with complex strategic and operational matters related to public debt hedging practices, including the use of derivatives. In this context, we highlight the main institutional challenges in the management of foreign exchange risk in sovereign debt portfolios and discuss the overall implementation of a foreign exchange risk-management strategy.

August 2, 2024

Enhancing IMF Economics Training: AI-Powered Analysis of Qualitative Learner Feedback

Description: The International Monetary Fund (IMF) has expanded its online learning program, offering over 100 Massive Open Online Courses (MOOCs) to support economic and financial policymaking worldwide. This paper explores the application of Artificial Intelligence (AI), specifically Large Language Models (LLMs), to analyze qualitative feedback from participants in these courses. By fine-tuning a pre-trained LLM on expert-annotated text data, we develop models that efficiently classify open-ended survey responses with accuracy comparable to human coders. The models’ robust performance across multiple languages, including English, French, and Spanish, demonstrates its versatility. Key insights from the analysis include a preference for shorter, modular content, with variations across genders, and the significant impact of language barriers on learning outcomes. These and other findings from unstructured learner feedback inform the continuous improvement of the IMF's online courses, aligning with its capacity development goals to enhance economic and financial expertise globally.

July 26, 2024

Public Perceptions of Canada’s Investment Climate

Description: Canada’s muted productivity growth during recent years has sparked concerns about the country’s investment climate. In this study, we develop a new natural language processing (NPL) based indicator, mining the richness of Twitter (now X) accounts to measure trends in the public perceptions of Canada’s investment climate. We find that while the Canadian investment climate appears to be generally favorable, there are signs of slippage in some categories in recent periods, such as with respect to governance and infrastructure. This result is confirmed by both survey-based and NLP-based indicators. We also find that our NLP-based indicators would suggest that perceptions of Canada’s investment climate are similar to perceptions of U.S. investment climate, except with respect to governance, where views of U.S. governance are notably more negative. Comparing our novel indicator relative to traditional survey-based indicators, we find that the NLP-based indicators are statistically significant in helping to predict investment flows, similar to survey-based measures. Meanwhile, the new NLP-based indicator offers insights into the nuances of data, allowing us to identify specific grievances. Finally, we construct a similar indicator for the U.S. and compare trends across countries.

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