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Thomas-Agnan, Christine
, Laurent, Thibault, Ruiz-Gazen, Anne, Nguyen, T.H.A, Chakir, Raja and Lungarska, Anna
(2020)
Spatial simultaneous autoregressive models for compositional data: application to land use.
TSE Working Paper, n. 20-1098, Toulouse
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Abstract
Econometric land use models study determinants of land-use-shares of different classes: ``agriculture'', ``forest'', ``urban'' and ``other'' for example. Land-use-shares have a compositional nature as well as an important spatial dimension. We compare two compositional regression models with a spatial autoregressive nature in the framework of land use. We study the impact of the choice of coordinate space. We discuss parameters interpretation taking into account the non linear structure as well as the spatial dimension. We compute and interpret the semi-elasticities of the shares with respect to the explanatory variables and the spatial impact summary measures.
| Item Type: | Monograph (Working Paper) |
|---|---|
| Language: | English |
| Date: | May 2020 |
| Place of Publication: | Toulouse |
| Uncontrolled Keywords: | compositional regression model, marginal effects, simplicial derivative, elasticity, semi-elasticity. |
| 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) |
| Institution: | Université Toulouse 1 Capitole |
| Site: | UT1 |
| Date Deposited: | 06 May 2020 12:17 |
| Last Modified: | 22 Mar 2022 10:42 |
| OAI Identifier: | oai:tse-fr.eu:124242 |
| URI: | https://publications.ut-capitole.fr/id/eprint/34918 |
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