This document discusses the statistical analysis carried out on survey data to estimate the willingness to pay (WTP) for improved water quality using multilevel modeling (MLM). It describes: 1) Conducting a conventional logistic regression analysis on the single-bound dichotomous choice (SBDC) responses before using MLM to account for the hierarchical structure of the data. 2) Estimating WTP from the double-bound dichotomous choice (DBDC) data using MLM, which models the natural hierarchy in responses nested within individuals. 3) Estimating the incidence of benefits across income groups using the WTP estimates from a linear regression of stated WTP responses. This found WTP generally