A rapidly updating stratified mix-adjusted median property price index model

TL;DR

This paper introduces a new, rapidly updating property price index that uses stratification and geospatial data to provide more current and robust housing market information for stakeholders.

Contribution

The paper presents an enhanced property price index model that incorporates additional parameters and data structures for improved accuracy and timeliness.

Findings

The new index updates more frequently than traditional methods.

It provides a smoother and more robust measure of property prices.

The model effectively compares similar houses using stratification.

Abstract

Homeowners, first-time buyers, banks, governments and construction companies are highly interested in following the state of the property market. Currently, property price indexes are published several months out of date and hence do not offer the up-to-date information which housing market stakeholders need in order to make informed decisions. In this article, we present an updated version of a central-price tendency based property price index which uses geospatial property data and stratification in order to compare similar houses. The expansion of the algorithm to include additional parameters owing to a new data structure implementation and a richer dataset allows for the construction of a far smoother and more robust index than the original algorithm produced.