Housing land transaction data and structural econometric estimation of preference parameters for urban economic simulation models

Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-01245390
Contributor : Théoriser Et Modéliser Pour Aménager (umr 6049) Université de Bourgogne Franche-Comté <>
Submitted on : Thursday, December 17, 2015 - 10:26:06 AM
Last modification on : Friday, July 13, 2018 - 11:31:42 AM

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Geoffrey Caruso, Jean Cavailhès, Dominique Peeters, Isabelle Thomas, Pierre Frankhauser, et al.. Housing land transaction data and structural econometric estimation of preference parameters for urban economic simulation models. Data in Brief, Elsevier, 2015, pp.447-452. ⟨10.1016/j.dib.2015.09.047⟩. ⟨hal-01245390⟩

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