Reference : Housing land transaction data and structural econometric estimation of preference par...

	Document type :	Scientific journals : Article
	Discipline(s) :	Social & behavioral sciences, psychology : Human geography & demography Business & economic sciences : Special economic topics (health, labor, transportation…)
	To cite this reference:	http://hdl.handle.net/10993/22251

Title :	Housing land transaction data and structural econometric estimation of preference parameters for urban economic simulation models
Language :	English
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]
Publication date :	2015
Journal title :	Data in Brief
Volume :	5
Pages :	447-452
Peer reviewed :	Yes
Audience :	International
Abstract :	[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.
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/22251
DOI :	10.1016/j.dib.2015.09.047
Other URL :	http://www.sciencedirect.com/science/article/pii/S2352340915002413

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