Using a uniquely compiled database concerning rental prices of commercial real estates, which are property of the largest broker in the Netherlands, we examine whether these prices have predictive value for quarterly economic growth. In contrast to related studies, we document that the mean price contains no relevant information, whereas other properties of the price distributions have. We show that these distributions can be described by mixtures of two distributions, reflecting low-end and high-end price segments. Our main findings are that higher economic growth is predictable from more new buildings being rented, more variation in the price levels and a larger size of the low-price segment, while lower economic growth emerges when the differences in prices between high-end and low-end segments increase and when the average price level in the low-price segment increases.

Additional Metadata
Keywords GDP, forcasting, prices, real estate
JEL Business Fluctuations; Cycles (jel E32), Housing Supply and Markets (jel R31)
Persistent URL dx.doi.org/10.1080/00036846.2013.783681, hdl.handle.net/1765/40235
Series Econometric Institute Reprint Series
Journal Applied Economics
Citation
Franses, Ph.H.B.F, & de Groot, E.A. (2013). Do commercial real estate prices have predictive content for GDP?. Applied Economics, 45(31), 4343–4348. doi:10.1080/00036846.2013.783681