GREG estimation with reciprocal transformation for a Polish business survey
AbstractAs 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.
|Publication size in sheets||0.5|
|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 Polish||estymacja odporna, statystyka przedsiębiorstw, wartości odstające GREG|
|Keywords in English||robust estimation, business statistics, outliers, GREG|
|Score||= 15.0, 15-04-2020, ChapterFromConference|
|Publication indicators||= 0|
|Citation count*||4 (2020-06-29)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.