Housing Price Indexes from the 1974–1983 SIMSA Annual Housing Surveys

This paper reports residential real estate price indexes computed from the Standard Metropolitan Statistical Area (SMSA) Annual Housing Survey (AHS) for the 1974 through 1983 period. During this ten-year period, the U.S. Bureau of the Census conducted detailed surveys of the housing stock in sixty metropolitan areas in a three to four year cycle. This information is used to compute tenure specific hedonic housing price indexes for: (1) the entire metropolitan housing market; (2) separately for properties located in the central city and in the suburbs (whenever central city locations are identified); and (3) for three points in the dwelling quality distribution-for substandard housing (using the definition employed by the U.S. Department of Housing and Urban Development), for new housing (housing less than three years old and not substandard), and for existing standard quality housing (everything else). In addition, the hedonic prices reported here are adjusted for the finite sample bias introduced when taking the exponential of a lognormally distributed random variable.     

Simultaneous Estimation of Cost and Distance Function Share Equations

The study considers the simultaneous estimation of share equations using cost and distance functions. Simultaneous rather than single system estimation utilizes full as opposed to limited information. Econometric results exploit the nonstationary nature of the data and that variables are cointegrated. Under cointegration all variables are endogenous and so it is not necessary to undertake the somewhat ad hoc exercise of choosing instruments to achieve parameter consistency. Johansen's maximum likelihood estimator is applied to data from Central Canada and Western Canada (1935–2006). Symmetry and homogeneity restrictions are not rejected for either region. Monotonicity held for all data points and concavity held at 92% of the data points. Long‐run constant returns and Hicks neutral technological change are rejected for both regions. Morishima elasticity estimates coming from the cost function in Western Canada indicate highly elastic long‐run substitution between the land/fertilizer input pair and mildly elastic long‐run substitution between land and both machinery and labor. In contrast, substitution for land and other inputs is inelastic for the land/machinery pair and the land/labor pair, with only the land/fertilizer pair being mildly elastic. The results indicate the limiting nature of land as a fundamental constraint on long‐term agricultural production is a real possibility in Central Canada because other inputs are inelastic, or at best only mildly elastic, substitutes for land. In Western Canada, fertilizer is the only factor that is highly substitutable for land and, therefore, could mitigate the limiting nature of land in that region. However, given that fertilizer applications are often considered to be environmentally unfriendly, the long‐run substitution of fertilizer for land as a fundamental mitigating factor to land scarcity in Western Canada is at a cost to the environment.     

Dwelling Age Heteroskedasticity in Repeat Sales House Price Equations

Several authors have attributed the heteroskedasticity observed in repeat sales house price equations to the length of time between sales. Recently, Goodman and Thibodeau (1995) developed a theoretical model that relates heteroskedasticity in hedonic house price equations to dwelling age. Using data for nearly 2,000 repeat sales in Dallas, Texas, this research examines whether repeat sales heteroskedasticity is related to dwelling age, to the length of time between sales, or to both. An iterative generalized least squares procedure that explicitly models the residual variance is used to obtain robust parameter estimates and to increase the efficiency of the usual repeat sales price indices.     

Explaining metropolitan housing price differences

Housing prices differ substantially among metropolitan areas. The rent and house price indexes used here measure this variation among 54 metropolitan areas. A model of metropolitan housing price determination is presented and used to identify the sources of intermetropolitan price variation. Reduced-form equations explain close to 90% of the variation in rental prices and close to 60% of the variation in house prices.     

Modeling conventional residential mortgage refinancings

This article models fixed-rate mortgage refinancings and offers an empirical test of the model. The model relates the probability that a household prepays its residential mortgage to both financial and economic variables. The financial variables included in the model measure the value of the embedded call option present in conventional fixed-rate mortgage loans. The economic variables measure the household's propensity to prepay for housing consumption adjustment reasons. Our main empirical finding is that increased interst-rate volatility significantly decreases prepayment probability. In addition, we find some statistical evidence to support the hypothesis that prepayment rates increase with increases in household income, increases in household size, and vary by age of household head and regionally.     

Authors' Perceptions and Preferences Among Real Estate Journals: An Editors' Note

As current editors of Real Estate Economics ( REE ) we feel it is our responsibility to offer our readers some comments regarding the preceding article by Gibler and Ziobrowski. Our comments are intended to convey our policy regarding publication of articles of this nature, as well as some relevant facts about the current publication process performance of the Journal.     

The Spatial Proximity of Metropolitan Area Housing Submarkets

An important question related to housing submarket construction is whether geographic areas must be spatially adjacent in order to be considered the same submarket. Housing consumers do not necessarily limit their search to spatially concentrated areas and may search similarly priced neighborhoods located throughout a metropolitan area when making housing consumption decisions. This article examines two alternative procedures for delineating submarkets: one that combines adjacent census block groups into areas with enough transactions to estimate the parameters of a hedonic house price equation and a second that permits spatial discontinuities in submarkets. The criterion used to evaluate the alternative techniques is the accuracy of hedonic house price predictions.     

Why Financial Executives Do Bad Things: The Effects of the Slippery Slope and Tone at the Top on Misreporting Behavior

Journal of Business Ethics - While there is an extensive body of literature about the impact of sharing physical space on ethical consumption, and a growing body of literature that addresses the...     

Evolution of the American Real Estate and Urban Economics Association1

This article summarizes the 45‐year history of the American Real Estate and Urban Economics Association (AREUEA). It describes how AREUEA was created in the mid‐1960s by a few academics interested in promoting real estate research. It tracks the Association's growth into a highly respected international association of real estate academics and researchers employed by industry and governments. The article also examines the activities of its members: officers elected, awards presented, conferences organized and scholars' contributions to its main academic publication—Real Estate Economics. The article identifies the most prolific contributors to the Journal (located both in the United States and internationally) and the impact that the Journal's publications have had on real estate research. Finally, we describe how real estate research interests have changed over time.