Financial intermediation and real estate prices impact on business cycles: A Bayesian analysis
The North American Journal of Economics and Finance, 2018, vol. 45, issue C, 138-160
How do financial intermediation and real estate prices impinge on the business cycle? I develop a two-sector stochastic general equilibrium model with financial intermediation and real estate collateral to assess the impact of financial conditions and land prices on aggregate fluctuations. I estimate the model with Bayesian methods using a novel data set that includes U.S. macro and financial variables during the period 1975–2010. The results from the estimated model show that financial conditions have a sizable effect on the variability of investment spending, while productivity shocks are the main source of consumption fluctuations. Specifically, on the macro side, (1) financial shocks explain about three quarters of investment spending variability and one third of the variance in hours worked. On the financial side, (2) financial shocks explain most of the variability in land prices, credit spread, and aggregate net worth of the financial sector. The model also accounts for observed unconditional moments of macro and financial variables. Our quantitative results are suggestive of the impact of diverse sources of financial instability, and as such relevant for macro prudential policy analysis.
Keywords: Financial frictions; Banking; Net worth; Leverage; Credit spread; Land prices; Business cycles; Bayesian estimation (search for similar items in EconPapers)
JEL-codes: E21 E22 E32 E44 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecofin:v:45:y:2018:i:c:p:138-160
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