[en] This paper describes a dataset of 6284 land transactions prices and plot surfaces in 3 medium-sized cities in France (Besançon, Dijon and Brest). The dataset includes road accessibility as obtained from a minimization algorithm, and the amount of green space available to households in the neighborhood of the transactions, as evaluated from a land cover dataset. Further to the data presentation, the paper describes how these variables can be used to estimate the non-observable parameters of a residential choice function explicitly derived from a microeconomic model. The estimates are used by Caruso et al. (2015) to run a calibrated microeconomic urban growth simulation model where households are assumed to trade-off accessibility and local green space amenities.
Disciplines :
Human geography & demography Special economic topics (health, labor, transportation...)
Author, co-author :
Caruso, Geoffrey ; University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Identités, Politiques, Sociétés, Espaces (IPSE)
Cavailhès, Jean; Institut Scientifique de Recherche Agronomique - INRA > UMR CESAER, Dijon
Peeters, Dominique; Université Catholique de Louvain - UCL > CORE
Thomas, Isabelle; Université Catholique de Louvain - UCL > CORE
Frankhauser, Pierre; Université de Franche-Comté > UMR ThéMA
Vuidel, Gilles; Université de Franche-Comté > UMR ThéMA
External co-authors :
yes
Language :
English
Title :
Housing land transaction data and structural econometric estimation of preference parameters for urban economic simulation models