This document contains an overview of methods designed at enhancing the quality of business statistics. The methods outlined in this report comprise variance estimation methods as well as small area estimation techniques. Best practice recommendations about the appropriate use of both groups of methods are given. These recommendations are based on extensive simulation studies, which allow to consider a variety of different situations. Furthermore, the fully synthetic TRItalia data set is described in this report. TRItalia will enable researchers to compare their methods in a realistic environment.

BLUE ETS Project - DELIVERABLE 6.2 - Best practice recommendations on variance estimation and small area estimation in business surveys

Rosa Bernardini Papalia;Maria Ferrante;Silvia Pacei;
2013

Abstract

This document contains an overview of methods designed at enhancing the quality of business statistics. The methods outlined in this report comprise variance estimation methods as well as small area estimation techniques. Best practice recommendations about the appropriate use of both groups of methods are given. These recommendations are based on extensive simulation studies, which allow to consider a variety of different situations. Furthermore, the fully synthetic TRItalia data set is described in this report. TRItalia will enable researchers to compare their methods in a realistic environment.
Rosa Bernardini Papalia, Christian Bruch, TobiasEnderle, Stefano Falorsi, Andrea Fasulo, Esteban Fernandez-Vazquez,Maria Ferrante, Jan-Philipp Kolb, Ralf M ̈unnich, Silvia Pacei,Rodolphe Priam, Paolo Righi, Timo Schmid, Natalie Shlomo,Florian Volk and Thomas Zimmermann
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/757081
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