EconPapers    
Economics at your fingertips  
 

Random Parameters and Spatial Heterogeneity using Rchoice in R

Mauricio Sarrias

REGION, 2020, vol. 7, No 3, 19 pages

Abstract: 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.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/279/version/544 (application/pdf)

Related works:
Journal Article: Random Parameters and Spatial Heterogeneity using Rchoice in R (2020) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wiw:wiwreg:region_7_3_279

Access Statistics for this article

REGION is currently edited by Vassilis Tselios

More articles in REGION from European Regional Science Association Welthandelsplatz 1, 1020 Vienna, Austria.
Bibliographic data for series maintained by Gunther Maier ().

 
Page updated 2025-03-31
Handle: RePEc:wiw:wiwreg:region_7_3_279