Catastrophe risk models are quantitative models used to estimate probabilistic loss distributions for a specified range of assets subject to a baseline level of disaster risk. While catastrophe risk models are used extensively by the insurance and reinsurance industry to estimate expected losses to insured assets, their ability to estimate damages outside of a narrow range of physical assets such as buildings or infrastructure is still limited.
This paper first provides a brief outline of catastrophe risk models as they currently exist, and then outlines the major econometric issues involved in incorporating research from the growing literature on the microeconomic impacts of disasters into a cat model framework.
Attention is specifically drawn to issues arising from the generally low recurrence frequencies of disasters, the likely role of difficult-to-document indirect damages in influencing total disaster costs, and issues related to generalizing disaster response functions across different domains. The paper ends by noting the large discrepancy between the current state of the literature on disaster impacts on microeconomic indicators and the level needed for adequate cat risk model performance, and suggests means of closing that gap as well as potential areas for future research.
This paper received financial support from the Department for International Development’s Humanitarian Innovation and Evidence Programme (HIEP) Sovereign Disaster Risk Finance and Insurance Project
Anttila‐Hughes, Jesse. ; Sharma, Mohan.; Linking Risk Models to Microeconomic Indicators. Policy Research working paper,no. WPS 7359;; Policy Research Working Paper;No. 7359. World Bank, Washington, DC. © World Bank. (2015) https://openknowledge.worldbank.org/handle/10986/22235 License: CC BY 3.0 IGO.”