This study uses Zillow's ZTRAX property transaction database to investigate variation in hedonic price effects of water clarity on single-family houses throughout the United States. We consider five spatial scales and estimate models using different sample selection criteria and model specifications. Our results indicate considerable spatial heterogeneity both within and across the four U.S. Census regions. However, we also find heterogeneity resulting from different types of investigator decisions, including sample selection and modelling choices. Thus, it is necessary to use practical knowledge to consider the limits of market areas and to investigate the robustness of estimation results to investigator choices. (JEL Q51).

We construct a comprehensive, publicly-available meta-dataset based on 36 hedonic studies that examine the effects of water quality on housing values in the United States. The meta-dataset includes 656 unique estimates and entails a cluster structure that accounts for price effects at different distances. Focusing on water clarity, we estimate reduced-form meta-regressions that account for within-market dependence, statistical precision, housing market and waterbody heterogeneity, publication bias, and methodological practices. While we find evidence of systematic heterogeneity, the out-of-sample transfer errors are large. We discuss the implications for benefit transfer and future work to improve transfer performance.

The US Environmental Protection Agency (EPA) often requires expertise from environmental assessors, hydrologists, economists, and others to analyze the benefits of regional and national policy decisions related to changes in water quality. This led EPA to develop two models to form an Integrated Assessment Model (IAM): HAWQS is a web-based water quantity and quality modeling systems and BenSPLASH is a modeling platform for quantifying the economic benefits of changes in water quality. This paper discusses the development of the component models and applies HAWQS and BenSPLASH to a case study in the Republican River Basin.

Sensitivity to the scope of public good provision is an important indication of validity for the contingent valuation method. An online survey was administered to an opt-in non-probability sample panel to estimate the willingness-to-pay to protect hemlock trees from a destructive invasive species on federal land in North Carolina. We collected survey responses from 907 North Carolina residents. We find evidence that attribute non-attendance (ANA) is a factor when testing for sensitivity to scope. When estimating the model with stated ANA, the ecologically and socially important scope coefficients become positive and statistically significant with economically significant marginal willingness-to-pay estimates.

This paper develops structural dynamic methods to project future carbon fluxes in forests. These methods account for land management changes on both the intensive and extensive margins, both of which are critical components of future carbon fluxes. When implemented, the model suggests that U.S. forests remain a carbon sink through most of the coming century, sequestering 128 Tg C y. Constraining forestland to its current boundaries and constraining management to current levels reduce average sequestration by 25 to 28 Tg C y. An increase in demand leads to increased management and greater sequestration in forests. The results are robust to climate change. (JEL Q23, Q54).

"This paper uses a multinomial discrete choice model and data from the Philippines to examine migrant choice between alternative destinations. Travel costs and perceived opportunities at the upland frontier are more important than general (upland plus lowland) destination attributes that indicate more developed social infrastructure or greater expected welfare. For example, migration streams are larger to destinations where the public share of forestland and the road system are larger. These features also characterize regions of more rapid deforestation. Therefore, emigration policies must recognize their effects on deforestation at the frontier--and their anticipated indirect effects on downstream environments."

The authors analyze and compare two data sets on land-use change in U.S. counties with rapidly growing populations for the period from 1960 to the early 1980s. The results show that "the net effect of changing household numbers, household characteristics, and economic constraints on demand for land is likely to mean less conversion of land for urban uses in the future. Our studies showed that marginal urban land consumption remained nearly constant between 1960 and the early 1980s."

"This paper presents a fresh analysis of demographic pressure in pre-Famine Ireland. The crucial issue is one of measurement. Population pressure is taken as the ratio of population to non-reproducible natural resources, that is, land." The author develops a measure of land quality that is used to test the Malthusian hypothesis. "The central finding of this paper may be stated quite simply: when proper account is given to the measurement of land quality and demographic pressure, then the Malthusian hypothesis that income per capita decreases with population pressure is not rejected by the evidence of pre-Famine Ireland."

Coastal communities are facing the dual threat of increasing sea level rise (SLR) and swelling populations, causing challenging policy problems. To help inform policy makers, this paper explores the property price impact of structures that help protect against SLR using a novel and spatially explicit dataset of coastal features. Results indicate that adaptation structures can have a significant positive impact on waterfront home prices, with the most vulnerable homes seeing the largest impacts. The Chesapeake Bay is facing increasing pressure from SLR, and this is one of the first papers to report that local property markets are incorporating that threat.