Trends and Cycles of Tech-Pole Housing Prices
AbstractThis paper examines the transmission mechanism of tech-pole housing prices and investigates the economic forces behind it. For this purpose, the work develops an MCMC algorithm to extract the latent common trend and cycle of the integrating prices and conduct Bayesian stochastic search for restriction selection of the panel data model. The evidence shows that the transmission magnitude and persistence depend importantly on the degree of IT-industry intensity between two metropolitan areas. While the common stochastic trend behind the price dynamics is primarily determined by normal income, the monetary policy is responsible for the common boom and bust of tech-pole housing cycles. The policy implication for the real asset pricing and risk hedging strategies are also discussed.
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Bibliographic InfoArticle provided by Missouri Valley Economic Association in its journal The Journal of Economics.
Volume (Year): 35 (2009)
Issue (Month): 2 ()
Find related papers by JEL classification:
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Production Analysis, and Firm Location - - - Housing Supply and Markets
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
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