Working Papers
2024
April 26, 2024
Dominant Drivers of Current Account Dynamics
Description: We estimate shocks that explain most of the variation in the current account at business cycle frequencies and over the long run. We then explore, using a standard open-economy macro model, which macroeconomic shocks are behind the empirical dominant drivers of the current account at business-cycle frequency. Rather than financial shocks or aggregate shocks to supply or demand, shocks to the relative demand between home and foreign goods are found to play a pivotal role in current account dynamics.
April 26, 2024
At the Threshold: The Increasing Relevance of the Middle-Income Trap
Description: We investigate the existence of a middle-income trap using finite state Markov chains, constant growth thresholds, and mean passage times. As well as studying output per head, we examine the dynamics of its proximate determinants: TFP, the capital-output ratio, and human capital. We find upwards mobility for the capital-output ratio and human capital, but not for relative TFP. The lack of upwards mobility in relative TFP, at least from an intermediate level, suggests that escaping the middle-income category can take many years, and such traps may become increasingly apparent in the years to come.
April 26, 2024
The Nexus of Climate and Monetary Policy: Evidence from the Middle East and Central Asia
Description: This paper investigates the effects of climate shocks on inflation and monetary policy in the Middle East and Central Asia (ME&CA) region. We first introduce a theoretical model to understand the impact of climate risks on headline and food inflation. In particular, the model shows how climate shocks could affect the path of policy rates through food prices. We then use local projections to estimate the impact of climate shocks on headline and food inflation. The results show that price stability is more easily achievable under positive climate conditions. Overall, our findings shed new light on the importance of considering climate-related supply shocks when designing monetary policy, particularly in countries where food makes up a significant part of the CPI-basket.
April 26, 2024
Cash Flow Analysis of Fiscal Regimes for Extractive Industries
Description: Mining and petroleum projects share characteristics distinguishing them from other sectors of the economy, which has led to the use of dedicated fiscal regimes for these projects. The IMF’s Fiscal Affairs Department uses fiscal modeling to evaluate extractive industry fiscal regimes for its member countries, and trains country officials on key modeling concepts. This paper outlines important preconditions needed for effective fiscal modeling, key evaluation metrics, and emphasizes the importance of transparent modeling practices. It then examines the modeling of commonly-used fiscal instruments and highligts where their economic impact differs, and how fiscal models can inform fiscal regime design.
April 26, 2024
Central Banks Casting a Global Financial Safety Net: What Drives the Supply of Bilateral Swaps?
Description: The expansion of bilateral swap arrangements (BSAs) since the Global Financial Crisis has led to a substantial reconfiguration of the Global Financial Safety Net (GFSN). This paper examines the drivers of BSA supply using a novel dataset on all publicly documented BSAs. It finds that countries with well-developed financial markets and institutions and high trade openness are more likely to backstop other economies by establishing BSAs. In addition, their choice of BSA counterparts is driven by strong investment and trade exposures to these countries, with variation in the relative importance of these factors across major BSA providers. The paper shows that geopolitical considerations often affect such decisions, as BSAs are less likely to be established between geopolitically distant countries and more likely between countries in the same regional economic bloc.
April 26, 2024
Public Debt Dynamics and the Impact of Fiscal Policy
Description: Public debt-to-GDP ratios have undergone substantial fluctuations over both the short and long term. Most recently, global debt-to-GDP ratios peaked at 100% on average in 2020 due to COVID-19, retracting substantially by 2022. To understand what drives these movements, we propose a structural approach to debt decompositions based on a SVAR identified with narrative sign restrictions. We find that GDP growth shocks and the corresponding comovements of macroeconomic variables are the key drivers of debt to GDP, accounting for 40% of the observed yearly variation in 17 advanced economies since the 1980s. Discretionary fiscal policy changes, in turn, account for less than 20% of the observed changes. The analysis also finds the primary balance multiplier on GDP to be very small. We reconcile our results with the literature, underscoring the importance of accurate shock identification and accounting for cross-country heterogeneity.
April 16, 2024
The Power of Prices: How Fast Do Commodity Markets Adjust to Shocks?
Description: This paper establishes supply and demand elasticities for a broad set of commodities based on a consistent dataset and identification methodology. We apply granular IV methods to a new cross-country panel dataset of commodity production and consumption from 1960-2021. The results indicate that commodity demand and supply are typically price inelastic. Demand and supply tend to be the most inelastic for minerals, whereas they are most elastic for agricultural commodities. The elasticities of energy commodities fall somewhere in between. Supply and demand become more elastic at longer time horizons for mineral and energy commodities, but not for most agricultural commodities.
April 5, 2024
A Primer on Bitcoin Cross-Border Flows: Measurement and Drivers
Description: The rapid growth of crypto assets raises important questions about their cross-border usage. To gain a better understanding of cross-border Bitcoin flows, we use raw data covering both on-chain (on the Bitcoin blockchain) and off-chain (outside the Bitcoin blockchain) transactions globally. We provide a detailed description of available methodologies and datasets, and discuss the crucial assumptions behind the quantification of cross-border flows. We then present novel stylized facts about Bitcoin cross-border flows and study their global and domestic drivers. Bitcoin cross-border flows respond differently than capital flows to traditional drivers of capital flows, and differences appear between on-chain and off-chain Bitcoin cross-border flows. Off-chain cross-border flows seem correlated with incentives to avoid capital flow restrictions.
April 5, 2024
Harnessing Satellite Data to Improve Social Assistance Targeting in the Eastern Caribbean
Description: Prioritizing populations most in need of social assistance is an important policy decision. In the Eastern Caribbean, social assistance targeting is constrained by limited data and the need for rapid support in times of large economic and natural disaster shocks. We leverage recent advances in machine learning and satellite imagery processing to propose an implementable strategy in the face of these constraints. We show that local well-being can be predicted with high accuracy in the Eastern Caribbean region using satellite data and that such predictions can be used to improve targeting by reducing aggregation bias, better allocating resources across areas, and proxying for information difficult to verify.
April 5, 2024
This Is Going to Hurt: Weather Anomalies, Supply Chain Pressures and Inflation
Description: As climate change accelerates, the frequency and severity of extreme weather events are expected to worsen and have greater adverse consequences for ecosystems, physical infrastructure, and economic activity across the world. This paper investigates how weather anomalies affect global supply chains and inflation dynamics. Using monthly data for six large and well-diversified economies (China, the Euro area, Japan, Korea, the United Kingdom, and the United States) over the period 1997-2021, we implement a structural vector autoregressive model and document that weather anomalies could disrupt supply chains and subsequently lead to inflationary pressures. Our results—based on high-frequency data and robust to alternative estimation methodologies—show that these effects vary across countries, depending on the severity of weather shocks and vulnerability to supply chain disruptions. The impact of weather shocks on supply chains and inflation dynamics is likely to become more pronounced with accelerating climate change that can have non-linear effects. These findings have important policy implications. Central bankers should consider the impact of weather anomalies on supply chains and inflation dynamics to prevent entrenching second-round effects and de-anchoring of inflation expectations. More directly, however, governments can invest more for climate change adaptation to strengthen critical infrastructure and thereby minimize supply chain disruptions.