Many web surveys allow respondents to self select into the survey. Making inference about the population from a self-selected survey is very difficult. We analyzed data from the Health  and Retirement Study (HRS) respondents of the 2002 wave as well as supplementary information about which subset of HRS respondents also responded to an additional web survey (web responders). The HRS is a longitudinal study of health, retirement and aging. The target population of the HRS includes all adults in the contiguous United States, aged 51 and over, who reside in households. We investigated whether it is possible to adjust for selection bias using propensity scores. We found that it is possible to make inferences for financial assets based on data from web responders only. However, making inferences about home values was not possible based on data from the web responders only.