Abstract by Jane Cox
Derivative-Based Sensitivity Analysis for Estimated Water Values
We combine survey data and cost-benefit analysis to locate the regions in a country that are the most in need of a water intervention, and use a sensitivity analysis to determine the veracity of our results. As is expected when working with survey data, many variables were incomplete or absent from the data. In particular, the cost-benefit analysis uses many variables not collected the surveys available, so many values were estimated based on research. To verify that estimated data is still useful, a derivative based sensitivity analysis was performed to ensure the robustness of the model. This ensures that no single variable holds too much influence on the model as a whole and allows slight variation among estimated variables without altering overall results.