Effective management of stormwater runoff is a significant challenge facing cities across the United States. In addition to polluting surface waters, stormwater runoff contributes to flooding, threatens the health of aquatic species, disrupts hydrological cycles, and causes stream erosion (Jacobson, 2011). These impacts will continue to worsen with growing urbanization, such that stormwater runoff has become the fastest growing source of nonpoint pollution in numerous watersheds.To address these challenges, many cities and municipalities in the United States have turned to a decentralized approach to stormwater management that incentivizes households to voluntarily adopt water quality best management practices (BMPs) for stormwater runoff. Over 1,700 U.S. cities and municipalities now have stormwater utilities, which act as dedicated funding mechanisms for stormwater management (Campbell, 2020). According to survey data, more than half of such stormwater utilities offer a complementary cost-sharing or grant program that provides incentives to homeowners who adopt qualifying stormwater practices (Black & Veatch, 2018). Subsidized practices include rain gardens, permeable pavement, and backyard infiltration practices, which can reduce runoff at much lower costs than the existing large-scale stormwater control infrastructure (Braden & Ando, 2012), while also generating environmental benefits such as reductions in downstream flooding (Braden & Johnston, 2004). These stormwater BMPs are often collectively known as green infrastructure, though subtle differences in the terms exist (see Ando & Netusil, 2013, for a more complete discussion).Despite the increasing availability of local or municipal subsidy programs, the scale of stormwater BMP adoption by households remains very low. Adoption rates for green infrastructure practices are less than 5% in almost all the stormwater utilities surveyed (Black & Veatch, 2018). Recent economic research suggests that low adoption rates are not driven by high practice costs or inadequate levels of financial support (Baptiste et al., 2015;Newburn & Alberini, 2016;Shin & McCann, 2018a, 2018b. For example, Newburn and Alberini (2016) find a 2.5% adoption rate for rain gardens despite 18% of households stating a willingness to adopt them even without government subsidies. Similarly, Shin and McCann (2018a) show a 3% rate of rain garden adoption despite nearly half of the respondents stating that practice costs are not a major limiting factor.One explanation for the divergence between low adoption rates and stated willingness to adopt is based on hypothetical bias. Hypothetical bias arises when survey respondents inaccurately state (often overstate) their willingness to pay (WTP) in response to hypothetical questions (