Business, housing, and credit cycles

Gerhard Rünstler () and Marente Vlekke

Journal of Applied Econometrics, 2018, vol. 33, issue 2, 212-226

Abstract: We use multivariate unobserved components models to estimate trend and cyclical components in gross domestic product (GDP), credit volumes, and house prices for the USA and the five largest European economies. With the exception of Germany, we find large and long cycles in credit and house prices, which are highly correlated with a medium‐term component in GDP cycles. Differences across countries in the length and size of cycles appear to be related to the properties of national housing markets. The precision of pseudo real‐time estimates of credit and house price cycles is roughly comparable to that of GDP cycles.

Date: 2018
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https://doi.org/10.1002/jae.2604

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Working Paper: Business, housing and credit cycles (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:wly:japmet:v:33:y:2018:i:2:p:212-226

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