Artikel

Random parameters and spatial heterogeneity using Rchoice in R

This study focus on models with spatially varying coefficients using simulations. As shown by Sarrias (2019), this modeling strategy is intended to complement the existing approaches by using variables at micro level and by adding flexibility and realism to the potential domain of the coefficient on the geographical space. Spatial heterogeneity is modelled by allowing the parameters associated with each observed variable to vary 'randomly' across space according to some distribution. To show the main advantages of this modeling strategy, the Rchoice package in R is used.

Language: Englisch

Bibliographic citation: Journal: REGION ; ISSN: 2409-5370 ; Volume: 7 ; Year: 2020 ; Issue: 1 ; Pages: 1-19 ; Louvain-la-Neuve: European Regional Science Association (ERSA)

Classification: Wirtschaft

Event: Geistige Schöpfung

(who): Sarrias, Mauricio

Event: Veröffentlichung

(who): European Regional Science Association (ERSA)

(where): Louvain-la-Neuve

(when): 2020

DOI: doi:10.18335/region.v7i1.279

Handle: http://hdl.handle.net/10419/235808

Last update: 10.03.2025, 11:42 AM CET

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Artikel

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Sarrias, Mauricio
European Regional Science Association (ERSA)

Time of origin

2020

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Random parameters and spatial heterogeneity using Rchoice in R

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