An Anatomy of Price Dynamics in Illiquid Markets: Analysis and Evidence from Local Housing Markets
Tóm tắt
This research analyzes the dynamic properties of the difference equation that arises when markets exhibit serial correlation and mean reversion. We identify the correlation and reversion parameters for which prices will overshoot equilibrium (“cycles”) and/or diverge permanently from equilibrium. We then estimate the serial correlation and mean reversion coefficients from a large panel data set of 62 metro areas from 1979 to 1995 conditional on a set of economic variables that proxy for information costs, supply costs and expectations. Serial correlation is higher in metro areas with higher real incomes, population growth and real construction costs. Mean reversion is greater in large metro areas and faster growing cities with lower construction costs. The average fitted values for mean reversion and serial correlation lie in the convergent oscillatory region, but specific observations fall in both the damped and oscillatory regions and in both the convergent and divergent regions. Thus, the dynamic properties of housing markets are specific to the given time and location being considered.
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Tài liệu tham khảo
Abraham J., 1993, Real Estate and the Credit Crunch
Abraham J., 1996, Bubbles in Metropolitan Housing Markets, Journal of Housing Research, 7, 191
Blanchard O., 1992, Brookings Papers on Economic Activity
Capozza D.R., 1996, Fundamental Tax Reform
Capozza D.R. C.MackandC.Mayer.1997.The Dynamic Structure of Housing Markets. Working paper. University of Michigan .
Case K.E., 1988, The Behavior of Home Buyers in Boom and Post‐Boom Markets, New England Economic Review, 29
Case K.E., 1989, The Efficiency of the Market for Single Family Homes, The American Economic Review, 79, 125
Chiang A.C., 1984, Fundamental Methods of Mathematical Economics
DiPasquale D., 1996, Urban Economics and Real Estate Markets
Gallin J.2003.The Long‐Run Relationship between House Prices and Income: Evidence from Local Housing Markets. Federal Reserve Board : Washington DC .
Levin A.C.andC.F.Lin.1993.Unit Root Tests in Panel Data: Asymptotic and Finite Sample Properties. Mimeo. University of California San Diego .
Pedroni P.1997.Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis: New Results. Working Paper. Indiana University : Bloomington .
Shiller R., 1990, Market Volatility and Investor Behavior, The American Economic Review, 80, 58
Sysdaeter K., 1995, Mathematics for Economic Analysis