@article{95609cc1a6054c01b045adab6f7d84aa,
title = "Spatial Heterogeneity in Hedonic Price Effects for Lake Water Quality",
abstract = "This study uses Zillow{\textquoteright}s Transaction and Assessment 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. The results indicate considerable spatial heterogeneity 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 modeling 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.",
author = "Kristen Swedberg and Cardoso, {Diego S.} and Adriana Castillo-Castillo and Saleh Mamun and Boyle, {Kevin J.} and Christoph Nolte and Michael Papenfus and Stephen Polasky",
note = "Swedberg and Boyle were supported by the College of Agricultural and Life Sciences at Virginia Tech in leading this research effort. Swedberg was also supported in part by an appointment to the EPA Research Participation Program, administered by the Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between the U.S. Department of Energy (DOE) and the EPA. ORISE is managed by Oak Ridge Associated Universities (ORAU) under DOE contract no. DE-SC0014664. All opinions expressed herein are the authors and do not necessarily reflect the policies and views of the EPA, DOE, ORAU/ORISE. The authors acknowledge Advanced Research Computing at Virginia Tech for providing computational resources and technical support that have contributed to the results reported here (https:// arc.vt.edu/). Nolte acknowledges support from the Department of Earth and Environment at Boston University, the Junior Faculty Fellows program of Boston University{\textquoteright}s Hariri Institute for Computing and Computational Science, and the Nature Conservancy. We thank David Keiser, Catherine Kling, Dan Phaneuf, and Jiarui Zhang for providing helpful feedback in the early development of this project as well as EPA reviewers and journal referees for their valuable comments and suggestions. Data are provided by ZTRAX. More information on accessing the data can be found at http://www.zillow.com/ztrax. The results and opinions are those of the authors and do not reflect the position of Zillow Group. Swedberg and Boyle were supported by the College of Agricultural and Life Sciences at Virginia Tech in leading this research effort. Swedberg was also supported in part by an appointment to the EPA Research Participation Program, administered by the Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between the U.S. Department of Energy (DOE) and the EPA. ORISE is managed by Oak Ridge Associated Universities (ORAU) under DOE contract no. DE-SC0014664. All opinions expressed herein are the authors and do not necessarily reflect the policies and views of the EPA, DOE, ORAU/ORISE. The authors acknowledge Advanced Research Computing at Virginia Tech for providing computational resources and technical support that have contributed to the results reported here (https://arc.vt.edu/). Nolte acknowledges support from the Department of Earth and Environment at Boston University, the Junior Faculty Fellows program of Boston University{\textquoteright}s Hariri Institute for Computing and Computational Science, and the Nature Conservancy. We thank David Keiser, Catherine Kling, Dan Phaneuf, and Jiarui Zhang for providing helpful feedback in the early development of this project as well as EPA reviewers and journal referees for their valuable comments and suggestions. Data are provided by ZTRAX. More information on accessing the data can be found at http://www.zillow.com/ztrax. The results and opinions are those of the authors and do not reflect the position of Zillow Group.",
year = "2024",
doi = "10.3368/le.100.1.102122-0086R",
language = "English (US)",
volume = "100",
pages = "89--108",
journal = "Land Economics",
issn = "0023-7639",
publisher = "University of Wisconsin Press",
number = "1",
}