Science Inventory

Using benefit transfer to estimate housing value increases from improved water clarity: A case study of lakes in Kosciusko County, Indiana

Citation:

Burlingame, M., D. Guignet, Matthew Heberling, AND M. Papenfus. Using benefit transfer to estimate housing value increases from improved water clarity: A case study of lakes in Kosciusko County, Indiana. JAWRA. American Water Resources Association, Middleburg, VA, 60(2):363-379, (2024). https://doi.org/10.1111/1752-1688.13196

Impact/Purpose:

This paper proposes a series of steps to help decision-makers estimate changes in local home values due to improvement in lake water quality, and also provide others with the necessary information to perform their own analyses.  Using a case study, we illustrate what data to collect and how to use our existing study results.  The outcome from using our guidance will help better inform local residents of how private and public actions that lead to improvements in lake water clarity may impact local home values.  

Description:

This study provides step-by-step guidance for practitioners and local stakeholders on how to use existing study results to conduct benefit transfer (BT), and ultimately make informed predictions of how improvements in lake water clarity may benefit surrounding communities. The procedures are demonstrated using a publicly available meta-dataset developed by the United States Environmental Protection Agency, and a subsequent meta-analysis that synthesizes the literature on how improvements in water clarity impact home values. The BT procedures are demonstrated using a case study of 14 large lakes in Kosciusko County, Indiana. Lake-specific average increases in home values, as well as the value of the housing stock in aggregate, are calculated for illustrative improvements in lake water clarity. This analysis provides a critical bridge to better connect high-quality, academic research with real-world policy analysis, and ultimately serves to better equip local governments and stakeholders to make more informed policy and land use decisions.  

Record Details:

Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:04/03/2024
Record Last Revised:04/04/2024
OMB Category:Other
Record ID: 361006