The aim of this work is to estimate monetary poverty indicators at provincial level in Italy taking into account the different price levels within the country. To account for the local price levels, we compute Spatial Price Indexes (SPIs) using retail scanner data on retail prices. The SPIs are used to adjust the poverty line when computing poverty indicators at provincial level that are estimated using Small Area Estimation (SAE) models.

Small area estimation of monetary poverty indicators with poverty lines adjusted using local price indexes

Gaia Bertarelli
2023-01-01

Abstract

The aim of this work is to estimate monetary poverty indicators at provincial level in Italy taking into account the different price levels within the country. To account for the local price levels, we compute Spatial Price Indexes (SPIs) using retail scanner data on retail prices. The SPIs are used to adjust the poverty line when computing poverty indicators at provincial level that are estimated using Small Area Estimation (SAE) models.
2023
SEAS-IN Book of the Short Papers. SIS 2023.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/5035208
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