Brief Session Description
Using property transactions from the Republic of Moldova, this research will be the first to apply geographically, temporally, and characteristically weighted regression (GTCWR) to a market outside of the United States. A comparison of model performance will extend beyond typical regression diagnostics to IAAO standards measuring valuation fairness, equity, and uniformity. This research will aid in guidance and valuation policy prescriptions for transition economies. This presentation will include an audience discussion of the application of this methodology. This research was previously conducted for and presented at the 2018 World Bank Land and Poverty Conference in Washington, D.C.
Audience Expertise
General Interest (Appropriate for all experience levels.)
Location
L 100 AB
Start Date
9-26-2018 10:00 AM
End Date
9-26-2018 11:30 AM
Moderator Name
Christine Murphy, RES, City of Airdrie, AB
Geo Spatial Model Valuation: Moldova Case Study
L 100 AB
Using property transactions from the Republic of Moldova, this research will be the first to apply geographically, temporally, and characteristically weighted regression (GTCWR) to a market outside of the United States. A comparison of model performance will extend beyond typical regression diagnostics to IAAO standards measuring valuation fairness, equity, and uniformity. This research will aid in guidance and valuation policy prescriptions for transition economies. This presentation will include an audience discussion of the application of this methodology. This research was previously conducted for and presented at the 2018 World Bank Land and Poverty Conference in Washington, D.C.
