Martin Harding, Jesper Lindé, and Mathias Trabandt
We propose a macroeconomic model with a nonlinear Phillips curve that has a flat slope when inflationary pressures are subdued and steepens when inflationary pressures are elevated. The nonlinear Phillips curve in our model arises due to a quasi-kinked demand schedule for goods produced by firms. Our model can jointly account for the modest decline in inflation during the Great Recession and the surge in inflation during the Post-Covid period. Because our model implies a stronger transmission of shocks when inflation is high, it generates conditional heteroskedasticity in inflation and inflation risk. Hence, our model can generate more sizeable inflation surges due to cost-push and demand shocks than a standard linearized model. Finally, our model implies that the central bank faces a more severe trade-off between inflation and output stabilization when inflation is high.
Martin Iseringhausen, Ms. Mwanza Nkusu, and Wellian Wiranto
This paper studies the determinants of repeated use of Fund-supported programs in a large sample covering virtually all General Resources Account (GRA) arrangements that were approved between 1952 and 2012. Generally, the revolving nature of the IMF’s resources calls for the temporary sup-port of member countries to address balance of payments problems while repeated use has often been viewed as program failure. First, using probit models we show that a small number of country-specific variables such as growth, the current account balance, the international reserves position, and the institutional framework play a significant role in explaining repeated use. Second, we discuss the role of IMF-specific and program-specific variables and find evidence that a country’s track record with the Fund is a good predictor of repeated use. Finally, we conduct an out-of-sample forecasting exer-cise. While our approach has predictive power for repeated use, exact forecasting remains challenging. From a policy perspective, the results could prove useful to assess the risk IMF programs pose to the revolving nature of the Fund’s financial resources.
Mr. Sebastian Acevedo Mejia, Mr. Trevor Serge Coleridge Alleyne, and Rafael Romeu
The Cuban revolution and the subsequent US embargo on Cuba helped shape the tourism sector in the Caribbean, facilitating the birth and growth of alternative destinations. Therefore, the apprehension of the Caribbean tourism industry towards a change in US travel policy to Cuba is understandable, but likely unwarranted. The history of tourism in the region has shown that it is possible for all destinations to grow despite large changes in market shares. Our estimations show that liberalizing US-Cuba tourism could result in US arrivals to Cuba of between 3 and 5.6 million, most of it coming from new tourists to the region. We also identify the destinations most at risk of changes in US-Cuba relations.
This paper studies the economic costs of hurricanes in the Caribbean by constructing a novel dataset that combines a detailed record of tropical cyclones’ characteristics with reported damages. I estimate the relation between hurricane wind speeds and damages in the Caribbean; finding that the elasticity of damages to GDP ratio with respect to maximum wind speeds is three in the case of landfalls. The data show that hurricane damages are considerably underreported, particularly in the 1950s and 1960s, with average damages potentially being three times as large as the reported average of 1.6 percent of GDP per year. I document and show that hurricanes that do not make landfall also have considerable negative impacts on the Caribbean economies. Finally, I estimate that the average annual hurricane damages in the Caribbean will increase between 22 and 77 percent by the year 2100, in a global warming scenario of high CO2 concentrations and high global temperatures.