No abstract

Housing market, Price volume correlation, Granger causality, E32, G14,

This paper uses MSA level data and a panel VAR model to analyze the dynamic determination and impact of the volatility of single-family home value appreciation. We find that the volatility can be magnified by an exogenous increase in the home appreciation rate, responds to changes in the population growth rate, and is serially correlated. Moreover, an exogenous increase in the volatility increases the home appreciation rate, reduces personal income growth rate and affects population growth rate. Our analysis also provides strong evidence of heterogeneity of the MSA housing markets.JEL classification: C52, G10, R21, R31

Economic growth, House prices, Wealth effect, Collateral effect, Common correlated effects estimators, Long horizon predictability, E23, E24, R11,

This study is primarily an analysis of tradeoff between selling time and price, both on a nominal and real basis. Sellers are seen as desiring to maximize their discounted real selling price and trading off the nominal selling price with expected selling time. The time a property remains on the market is important, not only because of its reflection on price, but also because of its possible reflection on the issue of submarket equilibrium-an assumption in most urban price studies. The empirical results of this study shed light on how similar studies can easily misinterpret the implications of time on the market on price and how further work may be improved. Copyright American Real Estate and Urban Economics Association.