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.
- Sprache
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Englisch
- Erschienen in
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Journal: REGION ; ISSN: 2409-5370 ; Volume: 7 ; Year: 2020 ; Issue: 1 ; Pages: 1-19 ; Louvain-la-Neuve: European Regional Science Association (ERSA)
- Klassifikation
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Wirtschaft
- Ereignis
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Geistige Schöpfung
- (wer)
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Sarrias, Mauricio
- Ereignis
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Veröffentlichung
- (wer)
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European Regional Science Association (ERSA)
- (wo)
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Louvain-la-Neuve
- (wann)
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2020
- DOI
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doi:10.18335/region.v7i1.279
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Sarrias, Mauricio
- European Regional Science Association (ERSA)
Entstanden
- 2020
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