Berkay Akyapi, Mr. Matthieu Bellon, and Emanuele Massetti
A growing literature estimates the macroeconomic effect of weather using variations in annual country-level averages of temperature and precipitation. However, averages may not reveal the effects of extreme events that occur at a higher time frequency or higher spatial resolution. To address this issue, we rely on global daily weather measurements with a 30-km spatial resolution from 1979 to 2019 and construct 164 weather variables and their lags. We select a parsimonious subset of relevant weather variables using an algorithm based on the Least Absolute Shrinkage and Selection Operator. We also expand the literature by analyzing weather impacts on government revenue, expenditure, and debt, in addition to GDP per capita. We find that an increase in the occurrence of high temperatures and droughts reduce GDP, whereas more frequent mild temperatures have a positive impact. The share of GDP variations that is explained by weather as captured by the handful of our selected variables is much higher than what was previously implied by using annual temperature and precipitation averages. We also find evidence of counter-cyclical fiscal policies that mitigate adverse weather shocks, especially excessive or unusually low precipitation episodes.
GCC policymakers moved quickly to mitigate the health and economic impacts of twin COVID-19 and oil price shocks. Infection rates have declined across the GCC to well below previous peaks, though countries have experienced successive waves of the virus, and economic recoveries have begun to take hold. Nevertheless, GCC policymakers must navigate a challenging and uncertain landscape. The pandemic continues to cloud the global outlook as countries are in different phases of recovery, with varied growth prospects and policy space