negligible if the country affected by a disaster is small but sizable for large economies. Similar disasters have heterogeneous …

extreme shocks is important for postdisaster assessment and pre-disaster planning. Conventionally, surveys have been the … performance. To quantify the causal impact of the disaster, we use a Bayesian structural time series model to predict the … counterfactual performance of affected businesses (what if the disaster did not occur?), which may use the performance of other …

This paper studies how having your home damaged or destroyed by a natural disaster impacts on economic and financial …

of quality infrastructure, development indicators and corruption on damages caused by a natural disaster using a panel … model, the study quantified the role of quality infrastructure in disaster impact mitigation. The empirical results suggest …

Mozambique is among the most disaster-prone countries in the world. A bigger than usual, and mostly unexpected, flood … results are relevant for policy planning, natural disaster management, and for ex ante vulnerability assessment in Mozambique …

We estimate the causal effect of cash grants on household finance and business survival following a natural disaster …. Disaster-affected individuals in high damage blocks with access to cash grants have 17% less credit card debt following the … disaster than those without access to cash grants. Grants do not reduce negative financial outcomes, but do decrease migration …