Spatially balanced indirect sampling to estimate the coverage of the agricultural census
Spatially balanced indirect sampling to estimate the coverage of the agricultural census
Coverage error in censuses has become an important statistical issue. In this paper we address the design of the coverage survey of the agricultural census through the use of spatially balanced sampling designs and the employment of indirect sampling framework. Spatially balanced sampling exploits the spatial component of the target population, while indirect sampling is taken into account since a frame linked to the target population is assumed to be used. Following the case of the coverage survey of the agricultural census performed by ISTAT in Italy in 2010, some proposals are presented and their efficiency investigated by means of Monte Carlo simulations. Finally, variance estimation is studied.
Local pivotal method, Two-stage design, Variance estimation
449-461
Piersimoni, Federica
38b51a17-1b20-4c0f-b18a-5cae8e255d57
Pantalone, Francesco
c1b85bef-a71c-4851-9807-7776bc0b5ded
Benedetti, Roberto
1197c065-613f-4074-b103-4cbd5dd9bec8
15 February 2023
Piersimoni, Federica
38b51a17-1b20-4c0f-b18a-5cae8e255d57
Pantalone, Francesco
c1b85bef-a71c-4851-9807-7776bc0b5ded
Benedetti, Roberto
1197c065-613f-4074-b103-4cbd5dd9bec8
Piersimoni, Federica, Pantalone, Francesco and Benedetti, Roberto
(2023)
Spatially balanced indirect sampling to estimate the coverage of the agricultural census.
Salvati, Nicola, Perna, Cira, Marchetti, Stefano and Chambers, Raymond
(eds.)
In Studies in Theoretical and Applied Statistics - SIS 2021.
vol. 406,
Springer.
.
(doi:10.1007/978-3-031-16609-9_27).
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Conference or Workshop Item
(Paper)
Abstract
Coverage error in censuses has become an important statistical issue. In this paper we address the design of the coverage survey of the agricultural census through the use of spatially balanced sampling designs and the employment of indirect sampling framework. Spatially balanced sampling exploits the spatial component of the target population, while indirect sampling is taken into account since a frame linked to the target population is assumed to be used. Following the case of the coverage survey of the agricultural census performed by ISTAT in Italy in 2010, some proposals are presented and their efficiency investigated by means of Monte Carlo simulations. Finally, variance estimation is studied.
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PiersimoniPantaloneBenedetti_SIS2021
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Accepted/In Press date: 28 June 2022
e-pub ahead of print date: 15 February 2023
Published date: 15 February 2023
Additional Information:
Funding Information:
Federica Piersimoni’s work represents her views and does not necessarily reflect those of ISTAT. This work has been presented at the Advisory Committee on Statistical Methods of ISTAT on 12 January 2021.
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Venue - Dates:
50th Scientific Meeting of the Italian Statistical Society, SIS 2021, , Virtual, Online, 2021-06-21 - 2021-06-25
Keywords:
Local pivotal method, Two-stage design, Variance estimation
Identifiers
Local EPrints ID: 476794
URI: http://eprints.soton.ac.uk/id/eprint/476794
ISSN: 2194-1009
PURE UUID: 1286bcec-4f9f-48ab-93d0-365a13c40fd4
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Date deposited: 16 May 2023 16:42
Last modified: 06 Jun 2024 02:12
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Contributors
Author:
Federica Piersimoni
Author:
Francesco Pantalone
Author:
Roberto Benedetti
Editor:
Nicola Salvati
Editor:
Cira Perna
Editor:
Stefano Marchetti
Editor:
Raymond Chambers
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