GREG estimation with reciprocal transformation for a Polish business survey

Grażyna Dehnel

Abstract

As a result of economic changes the scope of tasks for business statistics has expanded. There is a growing demand for short-term statistical data delivered on a monthly or quarterly basis, with improved accuracy and coherence. To meet this demand, it is necessary to develop estimation methods that can take advantage of administrative data. The purpose of these efforts is to increase the effectiveness of estimates and extend the scope of information in terms of the number of variables and cross-classifications. The paper presents an attempt to estimate basic economic information about small enterprises by applying reciprocal transformation to one of the small area statistics methods - GREG estimation. Variables from administrative registers were used as auxiliary variables. The study was conducted for provinces cross-classified by categories of economic activity.
Author Grażyna Dehnel (WIiGE / KS)
Grażyna Dehnel,,
- Department of Statistics
Pages67-75
Publication size in sheets0.5
Book Papież Monika, Śmiech Sławomir (eds.): Proceedings of the 11th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena, 2017, Foundation of the Cracow University of Economics, ISBN 9788365173850, 466 p.
Keywords in Polishestymacja odporna, statystyka przedsiębiorstw, wartości odstające GREG
Keywords in Englishrobust estimation, business statistics, outliers, GREG
URL http://pliki.konferencjazakopianska.pl/proceedings_2017/pdf/Dehnel.pdf
Languageen angielski
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 15.0, 15-04-2020, ChapterFromConference
Publication indicators WoS Citations = 0
Citation count*4 (2020-06-29)
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