Abstract: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 m… Show more
“…On the other hand, because the value of land is excluded and land accounts for most of the volatility in housing returns, housing wealth may be imprecisely measured in the U.K. Nevertheless, Davis and Heathcote (2007) conceptualize a house as a bundle comprising a non-reproducible plot of land and a reproducible tangible structure. The authors decompose the aggregate value of the housing stock into structures and land components, and show that the growth rate of the price of housing is a weighted average of the growth rate of the price of structures and the price of land.…”
In this work, I show, from the consumer's budget constraint, that the residuals of the trend relationship among consumption, financial wealth, housing wealth and labor income (summarized by the variable cday) should predict better U.S. and U.K. quarterly stock market returns than a variable like cay from Lettau and Ludvigson (2001), which considers aggregate wealth instead. I find that the superior forecasting power of cday is due to: (i) its ability to track the changes in the composition of asset wealth; and (ii) the faster rate of convergence of the coefficients to the "long-run equilibrium" parameters. In addition, the results suggest that, while financial wealth shocks are mainly transitory, fluctuations in housing wealth are very persistent. Moreover, they highlight that expectations about future returns are "synchronized" across countries.
“…On the other hand, because the value of land is excluded and land accounts for most of the volatility in housing returns, housing wealth may be imprecisely measured in the U.K. Nevertheless, Davis and Heathcote (2007) conceptualize a house as a bundle comprising a non-reproducible plot of land and a reproducible tangible structure. The authors decompose the aggregate value of the housing stock into structures and land components, and show that the growth rate of the price of housing is a weighted average of the growth rate of the price of structures and the price of land.…”
In this work, I show, from the consumer's budget constraint, that the residuals of the trend relationship among consumption, financial wealth, housing wealth and labor income (summarized by the variable cday) should predict better U.S. and U.K. quarterly stock market returns than a variable like cay from Lettau and Ludvigson (2001), which considers aggregate wealth instead. I find that the superior forecasting power of cday is due to: (i) its ability to track the changes in the composition of asset wealth; and (ii) the faster rate of convergence of the coefficients to the "long-run equilibrium" parameters. In addition, the results suggest that, while financial wealth shocks are mainly transitory, fluctuations in housing wealth are very persistent. Moreover, they highlight that expectations about future returns are "synchronized" across countries.
“…In this case, i *t would be approximated by the trend change in the CPI plus a fixed real appreciation rate. The data on land prices for the United States constructed by Davis and Heathcote (2007) shows a real price change of about 0.2% per quarter between 1975 and about 1997 and a real price change of 0.7% per quarter between 1975 and 2005. The correction of land prices in the recent past will have brought the average back down if data were available up to 2008 or 2009.…”
“…We compute real aggregate numeraire consumption as its nominal value divided by the appropriately calculated price index, p c m;t ; 7 note that we use quarterly changes in p c m;t to convert all nominal financial returns into real returns. We compute the real aggregate stock of home capital as the Davis and Heathcote (2007) estimate of the nominal market value of all housing units, divided by the Davis and Heathcote price index for the stock of housing. 8 This estimate of the real stock of housing includes both physical structures and land in residential use.…”
a b s t r a c tWe ask if a standard representative agent model with a home-production sector can resolve the equity-premium or value-premium puzzles. In the model, agents value market (numeraire) consumption and a home consumption good that is produced from the stock of housing, home labor, and a labor-augmenting technology shock. We construct the unobserved quantity of the home consumption good by combining observed data on numeraire consumption, hours worked in the marketplace, and rents paid on housing with restrictions of the model. We test the first-order conditions of the model using GMM. The model is rejected by the data; it cannot explain either the historical equity-premium or the valuepremium.
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