A Spatial Analysis of Price Change in CPI Housing Index

William E. Larson

Abstract

Historically there has been an assumption that geographic proximity is one of the most important predictors of price change behavior in the housing component of the Consumer Price Index (CPI). However there has been limited research examining at what level of geography rent changes are correlated. This spatial data analysis explores the strength of the geographic relationship at various distances down to the Census block level.