1352.0.55.078 - Research Paper: Assessing the Quality of Modelled Estimates (Methodology Advisory Committee), Jun 2006

In recent years, official statistical agencies have increasingly used analytical methods to compile statistics. For example, econometric models are sometimes applied to statistical processes or used to solve certain statistical problems. Modelling techniques have enabled statisticians to meet the demand for statistics that otherwise would be too costly or difficult to produce.
This paper proposes a framework that may be used to assess the quality of statistics that are generated using econometric models. We applied the framework to a recent project that is intended to estimate business employee numbers based on the Economic Activity Survey (EAS) and Business Income Tax (BIT) data.

This page last updated 6 September 2007

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	Australian Bureau of Statistics Celebrating the International Year of Statistics 2013

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About this Release	In recent years, official statistical agencies have increasingly used analytical methods to compile statistics. For example, econometric models are sometimes applied to statistical processes or used to solve certain statistical problems. Modelling techniques have enabled statisticians to meet the demand for statistics that otherwise would be too costly or difficult to produce. This paper proposes a framework that may be used to assess the quality of statistics that are generated using econometric models. We applied the framework to a recent project that is intended to estimate business employee numbers based on the Economic Activity Survey (EAS) and Business Income Tax (BIT) data. Document Selection These documents will be presented in a new window. This page last updated 6 September 2007

Australian Bureau of StatisticsCelebrating the International Year of Statistics 2013

Australian Bureau of Statistics
Celebrating the International Year of Statistics 2013