Introduction to cross-section spatial econometric models with applications in R [Data and Codes]

DOI

This paper introduces the spatial component in cross-section econometric estimations and specifically, the spatial dependence effect inherent in some of the variables involved in the modelling process. First, the spatial structure of the data from thematic maps is observed and Moran's spatial autocorrelation indicators are presented. Subsequently, the spatial weights matrix is built under different specifications. Finally, several modelling specification strategies are shown and the interpretation of the estimated coefficients. The theoretical concepts are illustrated with examples and their corresponding R software codes. This code and databases are available in a freely accessible repository in the BE2SHARE-EUDAT platform so that they can be easily reproduced.

Exploratory Spatial Data Analysis (ESDA) and spatial econometrics.

Identifier
DOI https://doi.org/10.23728/b2share.9d4d0d6e554c4c1cb76312207545e78f
Source https://b2share.eudat.eu/records/9d4d0d6e554c4c1cb76312207545e78f
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/9d4d0d6e554c4c1cb76312207545e78f
Provenance
Creator Chasco, Coro; Vallone, Andrés
Publisher EUDAT B2SHARE
Publication Year 2023
Rights Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA); info:eu-repo/semantics/openAccess
OpenAccess true
Contact coro.chasco(at)uam.es
Representation
Language English
Format zip
Size 840.4 kB; 1 file
Discipline 2.5.10 → Economics → Econometrics; 4.3.1.2 → Computational statistics → Regression analysis|Regression; 2.7.5 → Geography → Regional geography; 4.1.13.1 → Software engineering → Formal methods
Spatial Coverage (0.000 LON, 0.000 LAT); France, Chile and Spain