Department of Economics
Wichita State University
Wichita, KS 67260-0077
Institutional Affiliation: Wichita State University
NBER Working Papers and Publications
|January 2012||The Housing Wealth Effect: The Crucial Roles of Demographics, Wealth Distribution and Wealth Shares|
with , : w17740
Current estimates of housing wealth effects vary widely. We consider the role of omitted variables suggested by economic theory that have been absent in a number of prior studies. Our estimates take into account age composition and wealth distribution (using poverty rates as a proxy), as well as wealth shares (how much of total wealth is comprised of housing vs. stock wealth). We exploit cross-state variation in housing, stock wealth and other variables in a newly assembled panel data set and find that the impact of housing on consumer spending depends crucially on age composition, poverty rates, and the housing wealth share. In particular, young people who are more likely to be credit-constrained, and older homeowners, likely to be "trading down" on their housing stock, experience the...
Published: Calomiris, Charles W. & Longhofer, Stanley D. & Miles, William, 2013. "The Housing Wealth Effect: The Crucial Roles of Demographics, Wealth Distribution and Wealth Shares," Critical Finance Review, now publishers, vol. 2(1), pages 049-099, July. citation courtesy of
|June 2009||The (Mythical?) Housing Wealth Effect|
with , : w15075
Models used to guide policy, as well as some empirical studies, suggest that the effect of housing wealth on consumption is large and greater than the wealth effect on consumption from stock holdings. Recent theoretical work, in contrast, argues that changes in housing wealth are offset by changes in housing consumption, meaning that unexpected shocks in housing wealth should have little effect on non-housing consumption. We reexamine the impact of housing wealth on non-housing consumption, employing the Case-Quigley-Shiller data on U.S. housing wealth that have been used in prior studies to estimate a large housing wealth effect. Existing empirical work fails to control for the fact that changes in housing wealth may be correlated with changes in expected permanent income, biasing the r...
|September 2008||The Foreclosure-House Price Nexus: Lessons from the 2007-2008 Housing Turmoil|
with , : w14294
Despite housing's importance to the economy and worries about recent financial and economic turmoil traceable to housing market difficulties, little has been written on how distress in the housing market, measured by foreclosures, affects home prices, or how these variables interact with other macroeconomic or housing variables such as employment, housing permits or sales. Employing a panel VAR model to examine quarterly state-level data, our paper is the first to systematically analyze these interactions. There is substantial regional variation across states, which facilitates our ability to identify linkages among variables. Importantly, price-foreclosure linkages work in both directions; foreclosures have a significant, negative effect on home prices, while an increase in prices allev...
|December 2004||Covered Interest Arbitrage: Then vs. Now|
with Ted Juhl, : w10961
We introduce a new weekly database of spot and forward US-UK exchange rates as well as interest rates to examine the integration of forward exchange markets during the classical gold standard period (1880-1914). Using threshold autoregressions (TAR), we estimate the transactions cost band of covered interest differentials (CIDs) and compare our results to studies of more recent periods. Our findings indicate that CIDs for the US-UK rate were generally larger during the classical gold standard than any period since. We argue that slower information and communications technology during the gold standard period led to fewer short-term financial flows, higher transactions costs, and larger CIDs.
Published: Juhl, Ted, William Miles and Marc D. Weidenmier. "Covered Interest Arbitrage: Then Versus Now," Economica, 2006, v73(290,May), 341-352.