A commonsense and empirically supported approach to explaining metropolitan real house price changes is for the theory to describe an equilibrium price level to which the market is constantly adjusting. The determinants of real house price appreciation, then, can be divided into two groups, one that explains changes in the equilibrium price and the other that accounts for the adjustment dynamics or changing deviations from the equilibrium price. The former group includes the growth in real income and real construction costs and changes in the real after-tax interest rate. The latter group consists of lagged real and the difference between the actual and equilibrium real house price levels. Either group of variables can explain a little over two-fifths of the variation in real house price movements in 30 cities over the 1977-92 period; together, they explain three-fifths.

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. Copyright 2004 by the American Real Estate and Urban Economics Association

We explore the dynamics of real house prices by estimating serial correlation and mean reversion coefficients from a panel data set of 62 metro areas from 1979-1995. The serial correlation and reversion parameters are then shown to vary cross sectionally with city size, real income growth, population growth, and real construction costs. Serial correlation is higher in metro areas with higher real income, population growth and real construction costs. Mean reversion is greater in large metro areas and faster-growing cities with lower construction costs. Empirically, substantial overshooting of prices can occur in high real construction cost areas, which have high serial correlation and low mean reversion, such as the coastal cities of Boston,

In this paper we analyze the factors that affect the tenure choice of young adults, highlighting the impact of mortgage lender imposed borrowing constraints.The data set is a panel of youth age 20-33 for the years 1985-90. Our methods differ from most prior studies in many ways including consideration of possible sample selection bias, a richer model of the stochastic error structure, better measurement of which households are bound by borrowing constraints, and a fuller consideration of the endogeneity of wealth and income. Once all changes are implemented, we find ownership tendencies to be quite sensitive to economic variables. Specifically, potential earnings, the relative cost of owning a home, and especially borrowing constraints affect the tendency to own a home. In our sample of youth, 37% of households are constrained even after choosing their loan-to-value ratio to minimize the impact of the separate wealth and income requirements. The constraints reduce the probability of ownership of these households by 10 to 20 percentage points (a third to a halo depending on the particular characteristics of the household.

We consider the role that seller motivation plays in determining selling time, list price and sale price. A new survey of home sellers suggests that sellers are heterogeneous in their motivation to sell. Our findings are that a seller who, at the time of listing, has a planned date to move sells more quickly than one who does not. Also, the shorter the planned time until a move at the time of listing, the shorter the actual duration of marketing time. We find that seller motivation affects sale price, but not the list-price markup. Our results suggest that theoretical models of the housing search process should be recast to allow for heterogeneous sellers. Copyright American Real Estate and Urban Economics Association.

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This paper presents estimates of an equilibrium-based dynamic adjustment model of the office market, using supply and demand relationships to link construction, absorption, vacancies and rents to employment growth and real interest rates. The model is estimated using data from the City of London office market over 1977-1996. The model tracks the market dynamically, and the severe 1985-1996 cycle is shown to be related to the cycle in employment growth and the movement of real interest rates. The latter directly affects both construction and real rent levels. Copyright American Real Estate and Urban Economics Association.

We thank seminar participants at the Universities of Southern California and Wisconsin for their helpful comments.