Water conservation policy is a natural laboratory for addressing general issues of relevance to policy analysis and public administration, particularly the relative effectiveness of policies in changing human behavior. Using multivariate regression analysis of a dataset comprised of more than 200,000 monthly observations of more than 19,000 household accounts over six years, this paper makes three main contributions. First, it contributes to the substantive area of water conservation policy by analyzing what works. Second, it contributes to our understanding of generic policy instruments. Third, it raises an important issue regarding standard assumptions about selection bias. The results support earlier work warning that offsetting behavior can negate engineering solutions to policy problems, but further indicate that adding communication to engineering solutions can create cooperation that overcomes offsetting behavior. They also provide evidence that appropriate regulation can be effective, and that pricing can be effective even when price elasticities of demand are low.

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Aviation noise is a harmful pollutant, which has yet to be studied in the environmental justice literature. This paper uses Tobit and logit multivariate regression analyses to analyze noise pollution exposure from a major commercial-service airport. It addresses the issue of whether people moved to the aviation noise-impacted areas or the noise encroached on the people, and controls for economic and political costs as well as the possibility of racial and ethnic prejudice. The results indicate that ethnicity is the primary cause of the disproportionate burden of aviation noise pollution borne by Hispanics in the area analyzed. Copyright Blackwell Publishing, Inc. 2007