We combine publicly available data from Freddie Mac, the Decennial Census of Housing, and the Bureau of Economic Analysis to construct the first constant-quality aggregate price index for the stock of residential land in the United States. We uncover five main results: (a) since 1970, residential land prices have grown faster but (b) have also been twice as volatile as existing home prices; (c) averaged from 1970 to 2003, the nominal stock of residential land under 1-4 unit structures accounts for 38% of the market value of the housing stock and is equal to 50% of nominal annual GDP; (d) the real stock of residential land under 1-4 unit structures has increased an average of 0.6% per year since 1970; and (e) residential investment leads the price of residential land by three quarters. We also estimate that in 2003:Q3 the nominal value of the entire stock of residential land is the same as annual GDP. Finally, we show for the US data that the logarithms of the nominal price index for residential land, disposable income, and interest rates are cointegrated.
In the United States, the percentage standard deviation of residential investment is more than twice that of nonresidential investment. In addition, GDP, consumption, and both types of investment co-move positively. We reproduce these facts in a calibrated multisector growth model where construction, manufacturing, and services are combined, in different proportions, to produce consumption, business investment, and residential structures. New housing requires land in addition to new structures. The model can also account for important features of industry-level data. In particular, hours and output in all industries are positively correlated, and are most volatile in construction. *
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