Laurent, Thibault, Thomas-Agnan, Christine
and Ruiz-Gazen, Anne
(2023)
Covariates impacts in spatial autoregressive models for compositional data.
Journal of Spatial Econometrics, vol. 4.
Abstract
Spatial autoregressive models have been adapted to model data with both a geographic and a compositional nature. Interpretation of parameters in such a model is intricate. Indeed, when the model involves a spatial lag of the dependent variable, this interpretation must focus on the so-called impacts rather than on parameters and when moreover the dependent variable of this model is of a compositional nature, this interpretation should be based on elasticities or semi-elasticities. Combining the two difficulties, we provide exact formulas for the evaluation of these elasticity-based impact measures which have been only approximated so far in some applications. We also discuss their decomposition into direct and indirect impacts taking into account the compositional nature of the dependent variable. Finally, we also propose more local summary measures as exploratory tools that we illustrate on a toy data set and on real data.
Item Type: | Article |
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Language: | English |
Date: | July 2023 |
Refereed: | Yes |
Place of Publication: | Cham |
Uncontrolled Keywords: | Elasticities, Direct impact, Local impact, Indirect impact, Semi-elasticities, Simplicial regression |
JEL Classification: | C10 - General C39 - Other C46 - Specific Distributions; Specific Statistics C65 - Miscellaneous Mathematical Tools M31 - Marketing Q15 - Land Ownership and Tenure; Land Reform; Land Use; Irrigation |
Subjects: | B- ECONOMIE ET FINANCE |
Divisions: | TSE-R (Toulouse) |
Site: | UT1 |
Date Deposited: | 22 Sep 2023 12:27 |
Last Modified: | 11 Dec 2024 14:48 |
OAI Identifier: | oai:tse-fr.eu:128501 |
URI: | https://publications.ut-capitole.fr/id/eprint/48258 |