Ayadi, Mohamed, and Mohamed Amara (2010). "Spatial Patterns and Geographic Determinants of Welfare and Poverty in Tunisia" Paper presented at the 7th annual conference of the HDCA, 21-23 September 2010, Amman, Jordan.

The aim of this paper is to consider the neighbourhood e®ects and the heterogeneity of households' behaviours in more disaggregated geographic units of Tunisia using speci¯c tools of spatial and geographical analysis. First, we conduct an Exploratory Spatial Data Analysis (ESDA), based on a Geographical Information System (GIS) to visualise the local spatial structure of welfare. Second, to deal with both spatial autocorrelations and unobserved spatial heterogeneity of households' behaviours, we use a spatial autoregressive model (SAR) and a Geographically Weighted Re- gression (GWR) model respectively. Spatial and non-spatial models are compared according to their predictive performances. Results of this case study con¯rm that SAR and GWR spatial models are preferred to the traditional non-spatial regression model, and give a better approximation of the Tunisian poverty map.