Option-based models of mortgage default posit that the central measure of default risk is the loan-to-value (LTV) ratio. We argue, however, that an unrecognized problem with extending the basic option model to existing multifamily and commercial mortgages is that key variables in the option model are endogenous to the loan origination and property sale process. This endogeneity implies, among other things, that no empirical relationship may be observed between default and LTV. Since lenders may require lower LTVs in order to mitigate risk, mortgages with low and moderate LTVs may be as likely to default as those with high LTVs. Mindful of this risk endogeneity and its empirical implications, we examine the default experience of 495 fixed-rate multifamily mortgage loans securitized by the Resolution Trust Corporation (RTC) and the Federal Deposit Insurance Corporation (FDIC) during the period 1991-1996. The extensive nature of the data supports multivariate analysis of default incidence in a number of respects not possible in previous studies. Consistent with our expectations, we find that LTV evidences no relationship to default incidence, while the strongest predictors of default are property characteristics, including three-digit ZIP code location and initial cash flow as reflected in the debt coverage ratio. The latter results are particularly interesting in that they dominated the influence of postorigination changes in the local economy. Copyright 2002 by the American Real Estate and Urban Economics Association..

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Suburban office markets exhibit a pattern of variegated clustering that is little explained by the conventional theories of urban form based on agglomeration effects and the cost of distance. To explain the pattern, this paper introduces industry economies of scale for "Class A" offices. Empirical tests for industry economies of scale are reported, based on data from the office market of Houston, Texas. The models presented, under conditions typical of North American cities in recent decades, imply the patterns of variegated clustering that are observed. They suggest a sequence of clusters, increasing in size and distance from the central business district. Further, they imply the potential for mass movement by tenants from older clusters to new. Copyright 2003 by the American Real Estate and Urban Economics Association