Adaptive sampling design for the Italian social sample surveys: an application on the population census

Claudia Vitiis (), Stefano Falorsi (), Alessio Guandalini (), Francesca Inglese (), Paolo Righi () and Marco D. Terribili ()
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Claudia Vitiis: Italian National Institute of Statistics (ISTAT)
Stefano Falorsi: Italian National Institute of Statistics (ISTAT)
Alessio Guandalini: Italian National Institute of Statistics (ISTAT)
Francesca Inglese: Italian National Institute of Statistics (ISTAT)
Paolo Righi: Italian National Institute of Statistics (ISTAT)
Marco D. Terribili: Italian National Institute of Statistics (ISTAT)

METRON, 2024, vol. 82, issue 1, No 3, 19-35

Abstract: Abstract The aim of the paper is to show how a new survey design based on Responsive-Adaptive Survey Designs (RADs) can be adapted to the context of large-scale social surveys carried out by the Italian National Institute of Statistics (Istat) and particularly the Italian Population Census (PC). The Italian PC is the largest and most expensive social sample survey carried out yearly by Istat. In order to reduce the overall cost of the survey, data collection already adopts a sequential mixed mode design (CAWI/CAPI). The adoption of Adaptive Surveys Design (ASD) scheme can represent the solution for a further reduction of the survey costs, by minimizing the expected number of CAPI interviews and optimizing them in order to compensate for the under-coverage of some types of households and individuals that can affect the bias and the variability of the estimates. In the paper, the ASD is developed and applied for planning the design of the Italian PC. Furthermore, in a simulation context based on real data, the performances of the proposed design are compared with non-adaptive designs for assessing the cost reduction and the trade-off between bias and variance in estimating some target parameters.

Keywords: Responsive-adaptive designs; Response propensity; Population subgroups; Optimization (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s40300-023-00262-3

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