Abstract
Multiple Listing Service (MLS) data are notoriously cumbersome for empirical analysis due to inaccuracies and incompleteness. Applied real estate market analysis using MLS data requires a diligent effort to identify and address data limitations. This paper describes a learning activity that provides students with an opportunity to work with a large, real-world MLS dataset to answer research questions about house price determinants using hedonic price modeling with OLS regression. The activity is designed for use with Microsoft Excel due to its ready availability. Available instructor resources include a dataset with 20,126 residential listings from a well-defined market covering a three-year time period with 85 data fields, directions for students, and a model answer. All instructor resources (password controlled) are available online at: http://tinyurl.com/mlscasestudy.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
