Waterborne Escherichia coli (E. coli) represents a pervasive water quality problem across the United States. In Michigan, the presence of E. coli has become problematic for many areas where agricultural run-off and ineffective policies have made these outbreaks endemic. Combining the universe of housing transaction datasets from 2009 to 2017 with the State of Michigan water sampling dataset, we investigate and quantify the negative impacts of E. coli outbreaks on local housing prices. Our difference-in-differences model estimates an overall impact of −8.94% for houses in the treatment group relative to the control group. However, this effect is only short term, as sales prices recover after the outbreak has ended.

This paper addresses a serious environmental concern in Chile: PM2.5 concentration, a health threat especially affecting the population living in the central and southern communes of Chile. Using housing data for 312 spatial units, along with interpolation techniques to predict air pollution for communes with missing information, we find that, on average, 1 μg/m3 increase in PM2.5 produces a decrease of 4.1 per cent in housing rental prices. These estimates also show an important upward bias in the estimated coefficient when the endogeneity of air pollution is not addressed. An average Chilean household would be willing to pay US$12.31 per month for a one-unit reduction in PM2.5 concentration. Similar monetary values have been found in previous studies for both México and Chile. As with PM2.5 concentration, the average marginal willingness to pay exhibits marked differences across communes. From these results, the study addresses some policy implications and proposes avenues for future research.

Many developing countries lack universal sanitation services for residents. Years of inappropriate disposal of solid waste and wastewater have increased the potential for devastating environmental and health issues. An economic valuation of sanitation services may help in planning investment projects by demonstrating the benefits that households derive from having access to improved sanitation. We examine Guatemala as a case study and employ a series of hedonic models to estimate the value that households in Guatemala assign to the sanitation services of solid waste collection and connections to sewer infrastructure. Findings indicate that residents are willing to pay higher rents for both wastewater and solid waste removal. Policy implications are discussed.

This study investigates the effects of material and symbolic quality attributes on the Cup of Excellence specialty coffee quality scores and prices. The estimates from the quality score equations suggest that material attributes are important determinants, but symbolic attributes have a greater explanatory power. The hedonic price estimations show that specialty coffee prices are mainly determined by symbolic attributes and market conditions such as the number of coffees in the auction. Overall, the study reveals that fruity, floral, sweet, spice, and sour acid are cuppers' and buyers' most favorite coffee flavors and aromas.

Recreational hunting has been an attractive enterprise for some ranchers who are interested in supplementing their income from cattle. Ranchland attributes—such as parcel size, tree cover, and proximity to urban centers—are expected to influence hunters' preferences and, thus, hunting lease payments. We estimated the effects of these attributes on hunting revenues using a hedonic model. The results reveal that trees and vegetation cover on ranchlands have a positive impact on hunting revenues, indicating opportunities for silvopasture practices. Those ranchers in Florida who maintain about 22% trees and other vegetation cover receive $16.15 per acre per year from hunting leases, but doubling the cover would generate only an additional $3.20 per acre per year.

Preconditioning calf programs, while not new, are becoming more prevalent. They provide benefits to cow-calf producers while adding value for feeder cattle buyers. However, questions remain regarding the economic costs and returns of such programs. A model was estimated with data from three consecutive-day sales, to determine the value that buyers place on preconditioning programs and related feeder cattle traits. Our results indicate that price premiums, although evident, appear to be insufficient by themselves to cover the marginal costs of preconditioning.

Zoning decisions related to residential lot size and density affect residential land value. Effects of size on residential parcel value in Roanoke County, VA, are estimated with fixed effects hedonic models. Parcel size; elevation; soil permeability; proximity to urban areas, malls, and roads; and location influence parcel value, but the effects vary by value of construction and development status. Parcel value per square meter declines with increasing parcel size. The estimated relationships could be used to evaluate zoning decisions in terms of land values and tax revenues if model estimation uncertainties and responses by developers to zoning strategies are considered.