Note: the lines correspond to the national average; the coloured areas correspond to the interquartile range of the distribution by département for 39 départements for offices and 64 for residential real estate, available since 1998. Sources: MSCI, Notaries Index, OECD.
Strongly correlated price cycles
Real estate is divided into two categories: housing ("residential real estate") and premises for professional use ("corporate real estate"). Standard economic models (Roback 1982) predict similar price developments for the two real estate sectors over the long term. Indeed, price formation is driven by common macroeconomic fundamentals. Moreover, the two sectors share a common component with the price of land and arbitrage mechanisms prevent a lasting divergence: the possibility, in the existing dwelling sector, of transforming housing into commercial premises (or vice versa), and the competition on buildable land for new buildings. Kishor (2019) thus decomposes price developments in the two markets into common factors and spill over effects.
Indeed, the correlation between residential and commercial real estate prices among the 64 départements in our panel is 60% in France, and price cycles are fairly synchronous for all segments (offices, retail and industrial premises). In particular, long-run office and house prices series show that the correction episodes of the 1990s and 2008 affected both sectors simultaneously (Chart 1). This correlation of price changes goes hand in hand with a stability in the relative price of offices and industrial premises (ratio of prices per m² to residential), but a decline in the relative price of retail premises, reflecting structural changes such as the rise of e-commerce. Lastly, this strong correlation is not unique to France: Gyourko (2009) already identified "more similarities than differences" between these markets in the US, with a 40% correlation.
For existing dwellings, changes in the use of property are subject to regulatory constraints
The possibility of changing the use of a property fosters price convergence. This effect is theoretically more pronounced in areas where supply is more constrained, as the price of land will be a greater component of prices and changes in property use may be more attractive. However, regulatory constraints limit the substitutability of the use of properties. Davis Huang and Sapci (2020) show that these regulatory discrepancies can explain up to 20% of the differences in price correlation between cities in the United States.
In France, a project to convert a dwelling into business premises (or vice versa) requires an administrative application for a change of use and can involve significant costs for the development of premises.
With the exception of Paris, where the pressure on supply is greatest, the share of changes of use in construction permit applications is especially high in lower-density areas (Chart 2). Interestingly, this observation was already made in a 2006 administrative paper covering the 1990-2005 period, at a time when the excess supply of business premises may have encouraged the transformation of these spaces into housing (Nappi-Choulet 2013) in the less economically vibrant areas.
Analysing these changes of use also shows an expected asymmetry between the conversion of business premises into housing (2.1% of construction permit applications between 2017 and 2019), and the vice versa (0.9%). The construction code provides a stricter framework for the latter, notably by requiring an application for a change of use in the most constrained areas.