Dynamic Residential Housing Cycles Analysis |
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Authors: | Robert H Edelstein Desmond Tsang |
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Institution: | (1) Haas School of Business, University of California at Berkeley, Berkeley, CA, USA;(2) Desautels Faculty of Management, McGill University, Montreal, QC, Canada |
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Abstract: | This paper develops and tests a theoretical model for residential housing market cyclical dynamics. The model employs an interactive
supply and demand framework to engender housing price dynamics. Under our set of assumptions, the two equation system is econometrically
identified: the first equation, housing demand, relates rent, property values, and capitalization rates with demand fundamentals.
The second equation, housing supply, relates housing investment and property values with supply fundamentals. Using the model,
we analyze empirically the cyclical dynamics for residential properties in Los Angeles, San Francisco, San Diego and Sacramento
for the 1988–2003 time period. The theoretical and econometric design represents improvements and/or modifications of previous
studies in at least four ways. First, many of the earlier commercial cyclical analyses have focused on office appraisal and
have relied on sparse transactions data, which are likely to be less reliable than the copious amount of residential transactions
data. Second, the cyclical volatility and timing of single-family housing is different than that of commercial real estate.
Third, by examining different local MSA markets in California, our study distinguishes and isolates national-macro, regional
and local market variable effects upon cycles. Finally, utilizing quarterly data (versus annual data) sharpens our ability
to focus upon cyclical behaviour. Our empirical analyses suggest that fundamentals, such as employment growth and interest
rates are key determinants of the residential real estate cycles. However, in general, local fundamentals tend to have greater
cyclical impacts than those of national or regional fundamentals.
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Keywords: | Residential housing Real estate cycles Housing price dynamics |
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