2014
DOI: 10.1016/j.jedc.2014.05.014
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Risk shocks and housing supply: A quantitative analysis

Abstract: a b s t r a c tThis paper analyzes the role of stochastic uncertainty in a multi-sector housing model with financial frictions. We include time varying uncertainty (i.e. risk shocks) in the technology shocks that affect housing production and provide estimates of the time-series properties of risk shocks by using firm level productivity data. The analysis demonstrates that risk shocks to the housing production sector are a quantitatively important impulse mechanism for understanding housing price movements. Sp… Show more

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Cited by 19 publications
(13 citation statements)
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References 18 publications
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“…We find that uncertainty adversely affects the median sale prices and house prices on average by 1.68% and 1.31%, respectively. In other words, Dorofeenko, Lee and Salyer () results are driven by the supply side, which our empirical results do not necessarily support. Moreover, we find uncertainty impacts neither turnover nor the share of houses selling for loss directly.…”
Section: Empirical Model and Resultscontrasting
confidence: 89%
See 2 more Smart Citations
“…We find that uncertainty adversely affects the median sale prices and house prices on average by 1.68% and 1.31%, respectively. In other words, Dorofeenko, Lee and Salyer () results are driven by the supply side, which our empirical results do not necessarily support. Moreover, we find uncertainty impacts neither turnover nor the share of houses selling for loss directly.…”
Section: Empirical Model and Resultscontrasting
confidence: 89%
“…We interpret this result as the different proxies capturing different aspects of uncertainty, with the proxy of Jurado, Ludvigson and Ng () being well suited, due to its construction, to capture the spells of uncertainty that induce macrolevel real options effects. Our empirical findings, that Macro Uncertainty has significant effects on housing sector as well as on real activity variables, support, for example, Christiano, Motto and Rostagno () and Dorofeenko, Lee and Salyer (). Dynamic Stochastic General Equilibrium (DSGE) macrohousing models findings that the effect uncertainty shock on housing and aggregate variables are quantitatively large.…”
Section: Resultssupporting
confidence: 83%
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“…1 This evidence shows that uncertainty shocks have persistent effects, delaying the recovery of both the housing market as well as the whole economy. This study, consequently, introduces a novel impulse mechanism and complements the recent work of Dorofeenko et al (2014), that analyzes the effects of supply-side risk to the housing sector. Furthermore, our work complements Iacoviello & Neri (2010), by providing a further source of spill-overs from the housing market to the real economy.…”
Section: Figurementioning
confidence: 91%
“…1 Bloom, Floetotto, Jaimovich, Saporta-Eksten, and Terry (2012), for instance, use uncertainty proxies derived from both realized and forecast real variables to calibrate their model, while Bloom (2009) uses a measure of forecast stock market volatility. Chugh (2012) and Dorofeenko, Lee, and Salyer (2014), in turn, derive uncertainty on a sectoral level based on realized real data. This paper shows that ex ante, the standard deviation of profit growth and stock returns in the U.S. economy, in the manufacturing sector and in the services sector fluctuates less than ex post by comparing the conditional standard deviation forecast to the realized cross-sectional standard deviation and to the interquartile range (IQR).…”
Section: Introductionmentioning
confidence: 99%