House price indices

Local Quantile House Price Indices

Locally weighted quantile regressions allow the coefficients of hedonic house price functions to vary over space. Using data on all house sales in Cook County, Illinois, for 20002011, I show how the full distribution of appreciation rates changed over time in small geographic areas. The estimates reveal significant spatial variation in appreciation rates both geographically and across the distr...

Using Neural Networks to Estimate Constant Quality House Price Indices

This paper extends work in the field of Constant Quality Price Indexing by using Neural Networks to estimate the model. A series of housing data sets is used to develop constant quality price indices using traditional econometric techniques and using neural networks incorporating genetic algorithms. The analysis indicates that neural networks are a real alternative to the econometric methods. I...

Understanding House-Price Dynamics

*The views expressed here are those of the author and do not necessarily represent the views of the Federal Reserve Bank of Philadelphia or the Federal Reserve System. or most homeowners, housing is the single most important component of their nonpension wealth. Therefore, a change in house prices greatly affects the total wealth of many households. Furthermore, movements in house prices can af...

House Price Index Methodologies

A comparison of UK residential house price indices - BIS Papers No 21, part 16, April 2005

The measurement of house prices poses significant conceptual and practical problems, mainly because dwellings are heterogeneous assets whose prices can only be observed when they are sold. There are now seven main house price indices for the United Kingdom. In broad terms, each measures one of three different concepts: the value of a representative set of house transactions; the price of a hous...