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

Geoffrey Caruso | Zendy; Jean Cavailhès | Zendy; Dominique Peeters | Zendy; Isabelle Thomas | Zendy; Pierre Frankhauser | Zendy; Gilles Vuidel | Zendy

Open Access

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

Author(s) -

Geoffrey Caruso,

Jean Cavailhès,

Dominique Peeters,

Isabelle Thomas,

Pierre Frankhauser,

Gilles Vuidel

Publication year - 2015

Publication title -

data in brief

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.122

H-Index - 30

ISSN - 2352-3409

DOI - 10.1016/j.dib.2015.09.047

Subject(s) - estimation , database transaction , econometrics , econometric model , preference , transaction data , computer science , space (punctuation) , land use , function (biology) , economics , microeconomics , civil engineering , management , evolutionary biology , engineering , biology , programming language , operating system

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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