EconPapers    
Economics at your fingertips  
 

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

Guillaume Chapelle and Jean-Benoît Eymeoud ()
Additional contact information
Jean-Benoît Eymeoud: LIEPP - Laboratoire interdisciplinaire d'évaluation des politiques publiques (Sciences Po) - Sciences Po - Sciences Po, Banque de France

Post-Print from HAL

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.

Date: 2022
Note: View the original document on HAL open archive server: https://hal.science/hal-03592434v1
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in PLoS ONE, 2022, 17 (1), pp.e0260405. ⟨10.1371/journal.pone.0260405⟩

Downloads: (external link)
https://hal.science/hal-03592434v1/document (application/pdf)

Related works:
Journal Article: Can big data increase our knowledge of local rental markets? A dataset on the rental sector in France (2022) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03592434

DOI: 10.1371/journal.pone.0260405

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-03-19
Handle: RePEc:hal:journl:hal-03592434