A Bayesian Interpolation Method to Estimate Per Capita GDP at the Sub-Regional Level: Local Labour Markets in Spain

Panzera, Domenica; Viñuela, Ana

doi:10.1007/978-3-642-37896-6_2

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2021

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“…Following a Bayesian approach, the prior information on the distribution of the data generating process is combined with the data available at the aggregated spatial level to derive the posterior probability distribution with the BIM estimates as parameters. Hence, any inference on the variable of interest at the desired spatial scale can be based upon this posterior distribution (Benedetti & Palma, 1994; Panzera & Viñuela, 2018).…”

Section: Introductionmentioning

confidence: 99%

Deprivation at local level: Practical problems and policy implications for the province of Milan

Cartone

Panzera

2021

Regional Science Policy & Practice

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Composite indicators are often used to assess the structure of urban deprivation to promote sustainable development. However, the refined spatial scale of analysis poses problems related to data availability. In this paper, we define a spatial deprivation index in the province of Milan, using both census data and areal interpolation. Disaggregation methods are applied to obtain variables at lower spatial level, and a geographically weighted principal component analysis is applied to measure socioeconomic deprivation at local level. Components of deprivation are investigated in their spatial structure and some policy implications deriving from the application of a spatial approach are discussed.

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Section: Introductionmentioning

confidence: 99%