Can big data increase our knowledge of local rental markets? A dataset on the rental sector in France

Abstract

Social Scientists and policy makers need precise data on market rents. Yet, while housing prices are systematically recorded, few accurate data sets on rents are available. In this paper, we present a new data set describing local rental markets in France based on online ads collected through to webscraping. Comparison with alternate sources reveals that online ads provide a non biased picture of rental markets and allow coverage of the whole territory. We then estimate hedonic models for prices and rents and document the spatial variations in rent-price ratios. We show that rents do not increase as much as prices in the tightest housing markets. We use our dataset to estimate the market rent of each transaction and of social dwellings. In the latter case,this allows us to estimate the in-kind benefit received by social tenants which is mainly driven by the level of private rent in their municipality.

The impact of business intelligence on the marketing with emphasis on cooperative learning: Case-study on the insurance companies

“…La pauta digital es otra de las estrategias importantes para el marketing digital, para ( Chapelle , 2022) esta estrategia es unas de las más efectivas para el posicionamiento de marca porque genera resultados de manera inmediata. Sin embargo, también resalta tener en cuenta las analíticas para atraer el público objetivo, y así evitar perder la inversión realizada.…”

Regional Borders, Commuting and Transport Network Integration

“…The map of the geometric border proposal by the Sieyès committee is provided by French National Archives (AN). Lastly, Chapelle and Eyméoud (2017) provide housing rents at the municipal level.…”

“…Commuting analysis accounting for departmental tax base at the municipal level Commuting flows based on the universe of residence-to-workplace commuting flows in 2010 in France. Housing rents are provided byChapelle and Eyméoud (2017).…”

Searching for housing in the digital age: Neighborhood representation on internet rental housing platforms across space, platform, and metropolitan segregation

“…These sources can be particularly valuable in countries that lack regular housing surveys, even at the national level (Peppercorn and Taffin, 2013), but also in countries in which such surveys by public or private providers do not have sufficient sample sizes to produce spatially specific estimates needed to understand local rental market dynamics (Boeing et al, 2020b; Hess et al, 2019). This paper focuses on the United States context, but some of the dynamics described are likely to apply to other countries, although to our knowledge limited work has been done on neighborhood representation on online platforms in other countries despite emerging work on the use of such platforms to analyze housing markets (Chapelle and Eymeoud, 2018).…”