Neyman’s algorithm for the allocation of sample units in business sampling can result unsatisfactory in domain analysis with imperfect frames and sectorial and/or regional data. Improved estimates can be obtained using stratified estimators combined with an optimal unit allocation. We achieve this outcome by an interdisciplinary approach which leads to a methodological improvement. Starting from Martini’s approach which considers an empirical view of the statistical analysis, we propose the Robust Optimal Allocation with Uniform Stratum Threshold (ROAUST) class of stratified estimators and prove their reliability by using a simulation approach inspired by Magagnoli’s work on this issue. In particular, contrary to Neyman’s stratified estimator with optimal allocation and stratum threshold, our class guarantees better domain representativeness.

Chiodini, P., Martelli, B., Manzi, G., Verrecchia, F. (2010). Between Theoretical and Applied Approach: Which Compromise for Unit Allocation in Business Surveys?. In SIS2010 Proceedings.

Between Theoretical and Applied Approach: Which Compromise for Unit Allocation in Business Surveys?

CHIODINI, PAOLA MADDALENA;MANZI, GIANCARLO;VERRECCHIA, FLAVIO
2010

Abstract

Neyman’s algorithm for the allocation of sample units in business sampling can result unsatisfactory in domain analysis with imperfect frames and sectorial and/or regional data. Improved estimates can be obtained using stratified estimators combined with an optimal unit allocation. We achieve this outcome by an interdisciplinary approach which leads to a methodological improvement. Starting from Martini’s approach which considers an empirical view of the statistical analysis, we propose the Robust Optimal Allocation with Uniform Stratum Threshold (ROAUST) class of stratified estimators and prove their reliability by using a simulation approach inspired by Magagnoli’s work on this issue. In particular, contrary to Neyman’s stratified estimator with optimal allocation and stratum threshold, our class guarantees better domain representativeness.
slide + paper
Business survey, Imperfect frames, Heterogeneous strata, Simulation methods, Computational techniques, Sample design and estimation, Register based statistics
English
XLV Riunione Scientifica della Società Italiana di Statistica
2010
SIS2010 Proceedings
9788861295667
8-giu-2010
http://homes.stat.unipd.it/mgri/SIS2010/Program/contributedpaper/659-1347-2-DR.pdf
none
Chiodini, P., Martelli, B., Manzi, G., Verrecchia, F. (2010). Between Theoretical and Applied Approach: Which Compromise for Unit Allocation in Business Surveys?. In SIS2010 Proceedings.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/16180
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