Potential for Application of a Probabilistic Catastrophe Risk Modelling Framework to Poverty Outcomes : General Form Vulnerability Functions Relating Household Poverty Outcomes to Hazard Intensity in Ethiopia / Catherine Porter.

Format:

Book

Government document

Author/Creator:

Porter, Catherine.

Contributor:

Porter, Catherine.

White, Emily.

Series:

Policy research working papers.

World Bank e-Library.

Language:

English

Subjects (All):

Hazard risk management.

Macroeconomics and economic growth.

Poverty reduction.

Science and technology development.

Statistical & mathematical sciences.

Urban development.

Local Subjects:

Hazard risk management.

Macroeconomics and economic growth.

Poverty reduction.

Science and technology development.

Statistical & mathematical sciences.

Urban development.

Physical Description:

1 online resource (41 pages)

Other Title:

Potential for Application of a Probabilistic Catastrophe Risk Modelling Framework to Poverty Outcomes

Place of Publication:

Washington, D.C. : The World Bank, 2016.

System Details:

data file

Summary:

This paper analyzes the potential to combine catastrophe risk modelling (CAT risk modeling) with economic analysis of vulnerability to poverty using the example of drought hazard impacts on the welfare of rural households in Ethiopia. The aim is to determine the potential for applying a derived set of damage (vulnerability) functions based on realized shocks and household expenditure/consumption outcomes, onto a forward-looking view of drought risk. The paper outlines the CAT risk modeling framework and the role of the vulnerability module, which describes the response of an affected exposure to a given hazard intensity. The need to explicitly account for different household characteristics that determine vulnerability within our model is considered, analogous to how a CAT risk model would differentiate damage functions for buildings by different classes of construction. Results for a regression model are presented, estimating ex-post drought impacts on consumption for heterogeneous household types (e.g. with cattle, safety-net access, illness). Next, the validity/generalizability of the derived functions are assessed, to infer applicability of the derived relationships within a CAT risk modelling framework. In particular, the analysis focuses on external validity: whether the relationships established in the dataset can be used for forecasting outside of the sample used for analysis. The model is stress-tested using statistical methods of resampling. This involves randomly splitting the data into "training" and "testing" datasets. The tests show consistency of results across the datasets. Finally, future plans are outlined with regard to developing a fuller catastrophe risk model to combine with the consumption results.