Affiliation:
1. University of Piraeus
2. University of Pretoria
Abstract
This paper investigates the long-run and short-term dynamics of 351 US metropolitan statistical area housing prices in relation to personal income. We apply a panel cointegration approach on annual data from 1993 to 2011 and find a long-run relationship between local house prices and per capita personal income. The causal direction is then assessed based on an autoregressive distributed lag specification that also accommodates for error-correction. Results from Granger-causality tests reveal the existence of a bi-directional causality between real house prices and real per capita personal income over both long and short-horizons. Our results continue to be robust, when our bivariate system is extended to include additional MSA-level (employment and population) and national-level variables (real stock price and mortgage interest rate). We conclude that changes in personal income can predict house price movements and vice versa.
Publisher
Vilnius Gediminas Technical University
Reference33 articles.
1. The local power of some unit root tests for panel data
2. Campbell, J. Y .; Perron, P. 1991. Pitfalls and opportunities: what macroeconomists should know about unit roots, in Blanchard, O. J.; Fisher, S. (Eds.). NBER macroeconomic annual, MIT Cambridge, 141–201.
3. The interplay between output, inflation, interest rates and house prices: international evidence
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