Latent segmentation of urban space through residential location choice

DOI10.1007/s11067-021-09520-1OpenAlexW3131190920MaRDI QIDQ2031254

Ricardo Hurtubia, Tomás Cox

Publication date: 8 June 2021

Published in: Networks and Spatial Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11067-021-09520-1

zbMATH Keywords

spatial heterogeneitylatent classeslocation choice models

Mathematics Subject Classification ID

Mathematical economics (91Bxx) Mathematical sociology (including anthropology) (91Dxx)

Cites Work

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• Estimation of bid functions for location choice and price modeling with a latent variable approach
• Estimating the dimension of a model
• An Empirical Investigation into the Performance of Ellickson's Random Bidding Model, with an Application to Air Quality Valuation
• The Estimation of the Parameters of a Linear Regression System Obeying Two Separate Regimes

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