9269.0 - Business Transport Activity, Australia, 2010-11

TECHNICAL NOTE 1 ESTIMATION METHODOLOGY

INTRODUCTION

1 The availability of Business Activity Statement (BAS) data collected by the Australian Taxation Office (ATO) has provided the Australian Bureau of Statistics (ABS) with opportunities to improve the efficiency of collection designs and estimation for its business surveys, while at the same time reducing the reporting burden placed on businesses. Under taxation law, data may be passed by the Commissioner for Taxation to the ABS for specified statistical purposes. Accordingly, turnover and wages information sourced from ATO Business Activity Statement (BAS) data was used to improve the accuracy of the 2010-11 industry estimates which were produced using data items collected directly by the ABS from businesses.

ESTIMATION METHODOLOGY

2 The 2010-11 survey uses generalised regression estimation, first introduced in the 2006-07 Economic Activity Survey. This estimation method enables maximum use of observed linear relationships between data directly collected from businesses in the survey and auxiliary information. When the auxiliary information is strongly correlated with data items collected in a survey, the generalised regression estimation methodology will improve the accuracy of the estimates. The auxiliary variables used in this survey were turnover and wages sourced from the BAS data of 2,047,697 businesses (including the direct collect sample).

PRODUCING ESTIMATES

3 The following diagram illustrates the ways in which Australian businesses contribute to the estimates in this publication.

DATA STREAMING

4 For the purpose of compiling the estimates in this publication, data for businesses as recorded on the Australian Bureau of Statistics Business Register (ABSBR) contribute via one of three categories (or 'streams') in accordance with significance and collection-related characteristics.

Completely enumerated (CE) stream:

5 The CE stream consists of directly collected survey data for those units recorded on the ABSBR as having employment greater than 300, plus additional economically significant units.

Generalised regression estimation stream:

6 The generalised regression estimation stream comprises directly collected data for those sampled units which are not in the CE stream and have turnover, in aggregate, above the bottom 2.5 percentile of BAS sales for that industry, or are identified as employing businesses (based on ATO information).

BAS stream:

7 The BAS stream comprises data for those non-employing businesses in the Non-profiled Population whose turnover, in aggregate, is below the bottom 2.5 percentile of BAS sales for that ANZSIC subdivision.

8 Estimates for each of the selected industries were produced by aggregating the contributing data streams.

This page last updated 26 June 2012

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Explanatory Notes Glossary Abbreviations Quality Declaration - Summary Estimation methodology (Technical Note) Data quality (Technical Note)	TECHNICAL NOTE 1 ESTIMATION METHODOLOGY INTRODUCTION 1 The availability of Business Activity Statement (BAS) data collected by the Australian Taxation Office (ATO) has provided the Australian Bureau of Statistics (ABS) with opportunities to improve the efficiency of collection designs and estimation for its business surveys, while at the same time reducing the reporting burden placed on businesses. Under taxation law, data may be passed by the Commissioner for Taxation to the ABS for specified statistical purposes. Accordingly, turnover and wages information sourced from ATO Business Activity Statement (BAS) data was used to improve the accuracy of the 2010-11 industry estimates which were produced using data items collected directly by the ABS from businesses. ESTIMATION METHODOLOGY 2 The 2010-11 survey uses generalised regression estimation, first introduced in the 2006-07 Economic Activity Survey. This estimation method enables maximum use of observed linear relationships between data directly collected from businesses in the survey and auxiliary information. When the auxiliary information is strongly correlated with data items collected in a survey, the generalised regression estimation methodology will improve the accuracy of the estimates. The auxiliary variables used in this survey were turnover and wages sourced from the BAS data of 2,047,697 businesses (including the direct collect sample). PRODUCING ESTIMATES 3 The following diagram illustrates the ways in which Australian businesses contribute to the estimates in this publication. DATA STREAMING 4 For the purpose of compiling the estimates in this publication, data for businesses as recorded on the Australian Bureau of Statistics Business Register (ABSBR) contribute via one of three categories (or 'streams') in accordance with significance and collection-related characteristics. Completely enumerated (CE) stream: 5 The CE stream consists of directly collected survey data for those units recorded on the ABSBR as having employment greater than 300, plus additional economically significant units. Generalised regression estimation stream: 6 The generalised regression estimation stream comprises directly collected data for those sampled units which are not in the CE stream and have turnover, in aggregate, above the bottom 2.5 percentile of BAS sales for that industry, or are identified as employing businesses (based on ATO information). BAS stream: 7 The BAS stream comprises data for those non-employing businesses in the Non-profiled Population whose turnover, in aggregate, is below the bottom 2.5 percentile of BAS sales for that ANZSIC subdivision. 8 Estimates for each of the selected industries were produced by aggregating the contributing data streams. Document Selection These documents will be presented in a new window. This page last updated 26 June 2012

Australian Bureau of StatisticsCelebrating the International Year of Statistics 2013

Australian Bureau of Statistics
Celebrating the International Year of Statistics 2013