2 papers
stat.AP2026
Small Area Estimation under Spatial Regimes: Spatially Clustered Fay-Herriot Models for Agricultural Indicators
Paolo Maranzano, Raffaele Mattera, Shonosuke Sugasawa
Area-level small area estimation (SAE) models, such as the Fay--Herriot (FH) model, borrow strength across domains through covariates and random effects, but they can struggle when…
stat.ME2024
Spatially-clustered spatial autoregressive models with application to agricultural market concentration in Europe
Roy Cerqueti, Paolo Maranzano, Raffaele Mattera
In this paper, we present an extension of the spatially-clustered linear regression models, namely, the spatially-clustered spatial autoregression (SCSAR) model, to deal with spati…