Unit level models in the assessment of monthly wages of small enterprises employees

Grażyna Dehnel , Łukasz Wawrowski


Sample surveys are considered to be the most important source of information about monthly wages of employees in small enterprises. The sample size is usually sufficient for precise estimation of parameters at the level of provinces at the most. However, information about local economic conditions at lower levels of territorial aggregation is required to support the development of entrepreneurship. Therefore, an attempt was made to estimate monthly wages of employees at the district level. The study described in the article involves the method of composite estimation as part of the approach based on unit-level models. The aim of the study was to estimate the average monthly wage in small trade enterprises at the level of districts. The study was based on data from a monthly business survey conducted by the Statistical Office in Poznan. Data from administrative registers were used as auxiliary variables. The adoption of the new solutions in the area of business statistics is expected to increase the scope of statistical outputs and improve the efficiency of estimates.
Author Grażyna Dehnel (WIiGE / KS)
Grażyna Dehnel,,
- Department of Statistics
, Łukasz Wawrowski (WIiGE / KS)
Łukasz Wawrowski,,
- Department of Statistics
Publication size in sheets0.5
Book Papież Monika, Śmiech Sławomir (eds.): The 13th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena. Conference Proceedings, Socio-Economic Modelling and Forecasting, 2019, Wydawnictwo C.H. Beck, ISBN 978-83-8158-734-1, 258 p.
Keywords in Polishstatystyka małych obszarów, estymacja pośrednia, model jednostkowy, rejestry administracyjne, statystyka gospodarcza
Keywords in Englishsmall area estimation, indirect estimation, unit-level model, administrative registers, business statistics
URL http://pliki.konferencjazakopianska.pl/proceedings_2019/pdf/r05.pdf
Languageen angielski
Score (nominal)20
Score sourcepublisherList
ScoreMinisterial score = 20.0, 14-01-2020, ChapterFromConference
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