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Assessing high house prices: bubbles, fundamentals, and misperceptions

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We construct measures of the annual cost of single-family housing for 46 metropolitan areas in the United States over the last 25 years and compare them with local rents and incomes as a way of judging the level of housing prices. Conventional metrics like the growth rate of house prices, the price-to-rent ratio, and the price-to-income ratio can be misleading because they fail to account both for the time series pattern of real long-term interest rates and predictable differences in the long-run growth rates of house prices across local markets. These factors are especially important in recent years because house prices are theoretically more sensitive to interest rates when rates are already low, and more sensitive still in those cities where the long-run rate of house price growth is high. During the 1980s, our measures show that houses looked most overvalued in many of the same cities that subsequently experienced the largest house price declines. We find that from the trough of 1995 to 2004, the cost of owning rose somewhat relative to the cost of renting, but not, in most cities, to levels that made houses look overvalued.

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  • Charles P. Himmelberg & Christopher J. Mayer & Todd M. Sinai, 2005. "Assessing high house prices: bubbles, fundamentals, and misperceptions," Staff Reports 218, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednsr:218
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    More about this item

    Keywords

    Regional economics; Rental housing; Interest rates; Metropolitan areas - Statistics; Housing - Prices;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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