Statistical Methods for Estimating House Price Index

House Price Index Methodologies

Index Revision, House Price Risk, and the Market for House Price Derivatives

It is widely recognized that options and futures markets for housing can reduce and manage the risks inherent in consumers’ large investments in housing equity. The integrity of such markets depends, however, upon the use of transparent and replicable benchmarks for house prices and settlement values. In the USA, a series of state and metropolitan indexes have been produced by a government agen...

Estimating Variances for a Scanner-based Consumer Price Index

This paper presents estimates of the sampling variance of price change for an experimental scannerbased Consumer Price Index for cereal for the New York Consolidated Metropolitan Statistical Area. Variances are presented for 1-, 2-, 6-, and 12-month price change lags, using a stratified jackknife methodology. In section one the official CPI and scanner-based geometric price index estimators are...

Comparison of physical and statistical methods for estimating probable maximum precipitation in southwestern basins of Iran

The probable maximum precipitation (PMP) is the greatest depth of precipitation for a given duration that is physically possible over a given size storm area at a particular geographical location at a certain time of the year. In this study a physically based method was compared with a statistical procedure to calculate PMP in the southwest arid regions of Iran. In order to estimate PMP using a...

Multivariate statistical methods for estimating grassland leaf area index and chlorophyll content using hyperspectral measurements

Grassland habitat covers about one-quarter of the Earth’s land surface, providing significant contribution to the world’s total agricultural production, plant biodiversity, and carbon sequestration. The advent of hyperspectral remote sensing and the future launch of planned spaceborne hyperspectral missions will open up new possibilities over conventional multispectral RS to better quantify gra...