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Global inflation has surged to 7.5 percent in August 2022, from an average of 2.1 percent in the decade preceding the COVID-19 pandemic, threatening to become an entrenched phenomenon. This paper disentangles the confluence of contributing factors to the post-pandemic rise in consumer price inflation, using monthly data and a battery of econometric methodologies covering a panel of 30 European countries over the period 2002-2022. We find that while global factors continue to shape inflation dynamics throughout Europe, country-specific factors, including monetary and fiscal policy responses to the crisis, have also gained greater prominence in determining consumer price inflation during the pandemic period. Coupled with increasing persistence in inflation, these structural shifts call for significant and an extended period of monetary tightening and fiscal realignment.
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 ...
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This paper uses an augmented gravity model framework to investigate the historical impact of infectious diseases on international tourism and develops an out-of-sample prediction model. Using bilateral tourism flows among 38,184 pairs of countries during the period 1995–2017, I compare the forecasting performance of alternative specifications and estimation methods. These computations confirm the statistical and economic significance of infectious-disease episodes in forecasting international tourism flows. Including infectious diseases in the model improves forecast accuracy by an average of 4.5 percent and as much as 7 percent relative to the standard gravity model. The magnitude of these effects, however, is likely to be much greater in the case of COVID-19, which is a highly contagious virus that has spread fast throughout populations across the world.
This paper identifies and quantifies the drivers of inflation dynamics in the three Baltic economies and assesses the effectiveness of fiscal policy in fighting inflation. It also analyzes the macroeconomic impact of inflation on competitiveness by focusing on the relationship between wages and productivity in the tradeable sector. The results reveal that inflation in the Baltics is largely driven by global factors, but domestic demand matters as well, suggesting that fiscal policy can play a role in containing inflation. Also, there is robust evidence of a long-run (cointegration) relationship between (real) wages in the tradeable (manufacturing) sector and productivity in the Baltics with short-term deviations self-correcting in Estonia and Lithuania only.
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This work combines research and empirical evidence on the economic costs of disasters with theoretical approaches. It provides new insights on how to assess and manage the costs and impacts of disaster prevention, mitigation, recovery and adaption, and much more.
We show that firms’ market power dampens the response of their output to monetary policy shocks, using firm-level data for the United States and a large cross-country firm-level dataset for 14 advanced economies. The estimated impact of a firm’s markup on its response to a monetary policy shock is large enough to materially affect monetary policy transmission. We also find some evidence that the role of markup in monetary policy transmission, while independent from other channels, is greater for firms whose characteristics — notably size and age — are likely to be associated with greater financial constraints. We rationalize these findings through a simple partial equilibrium model in which borrowing constraints amplify disproportionately low-markup firms’ responses to changes in interest rates.
We analyze how concerns for model misspecification on the part of international lenders affect the desirability of issuing state-contingent debt instruments in a standard sovereign default model à la Eaton and Gersovitz (1981). We show that for the commonly used threshold state-contingent bond structure (e.g., the GDP-linked bond issued by Argentina in 2005), the model with robustness generates ambiguity premia in bond spreads that can explain most of what the literature has labeled as novelty premium. While the government would be better off with this bond when facing rational expectations lenders, this additional source of premia leads to welfare losses when facing robust lenders. Finally, we characterize the optimal design of the state-contingent bond and show how it varies with the level of robustness. Our findings rationalize the little use of these instruments in practice and shed light on their optimal design.