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Housing price dynamics within a metropolitan area

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  • Karl E. Case
  • Christopher J. Mayer

Abstract

This paper analyzes the pattern of house price appreciation in the Boston area from 1982 to 1994. The empirical results are consistent with the predictions of a standard urban model in which towns have a fixed set of amenities. The evidence suggests that changes in the cross-sectional pattern of house prices are related to differences in manufacturing employment, demographics, new construction, proximity to the downtown, and to aggregate school enrollments. These findings support the view that town amenities are not easily replicated or quickly adaptable to shifts in demand, even within a metropolitan area.

Suggested Citation

  • Karl E. Case & Christopher J. Mayer, 1995. "Housing price dynamics within a metropolitan area," Working Papers 95-3, Federal Reserve Bank of Boston.
    • Handle: RePEc:fip:fedbwp:95-3
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    References listed on IDEAS

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    4. Karl E. Case, 1992. "The Real Estate Cycle and the Economy: Consequences of the Massachusetts Boom of 1984-87," Urban Studies, Urban Studies Journal Limited, vol. 29(2), pages 171-183, April.
    5. Christopher J. Mayer, 1993. "Taxes, income distribution, and the real estate cycle: why all houses do not appreciate at the same rate," New England Economic Review, Federal Reserve Bank of Boston, issue May, pages 39-50.
    6. Rubinfeld, Daniel L., 1987. "The economics of the local public sector," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 2, chapter 11, pages 571-645, Elsevier.
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    More about this item

    Keywords

    Housing - Finance;

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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