Spatial simultaneous autoregressive models for compositional data: Application to land use

Christine Thomas-Agnan, Thibault Laurent, Anne Ruiz-Gazen, T.H.a Nguyen, Raja Chakir and Anna Lungarska

No 20-1098, TSE Working Papers from Toulouse School of Economics (TSE)

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.

Keywords: compositional regression model; marginal effects; simplicial derivative; elasticity; semi-elasticity. (search for similar items in EconPapers)
JEL-codes: C10 C39 C46 C65 M31 Q15 (search for similar items in EconPapers)
Date: 2020-05
New Economics Papers: this item is included in nep-agr, nep-ecm, nep-gen, nep-ore and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Working Paper: Spatial Simultaneous Autoregressive Models for Compositional Data: Application to Land Use (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:tse:wpaper:124242

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