TECHNICAL NOTE DATA QUALITY


RELIABILITY OF THE ESTIMATES

1 Estimates provided in this publication are subject to non-sampling and sampling error. The most common way of quantifying sampling error is to calculate the standard error for the published estimate. This is discussed in paragraphs 6 to 9 below.

2 Estimates that have an estimated relative standard error between 10% and 25% are annotated with the symbol '^'. These estimates should be used with caution as they are subject to sampling variability too high for some purposes. Estimates with an RSE between 25% and 50% are annotated with the symbol '*', indicating that the estimate should be used with caution as it is subject to sampling variability too high for most practical purposes. Estimates with an RSE greater than 50% are annotated with the symbol '**' indicating that the sampling variability causes the estimates to be considered too unreliable for general use. These annotations have only been applied to estimates from the March quarter 2009.

3 Non-sampling errors may arise as a result of errors in the reporting, recording or processing of the data and can occur even if there is a complete enumeration of the population. These errors can be introduced through inadequacies in the questionnaire, treatment of non-response, inaccurate reporting by respondents, errors in the application of survey procedures, incorrect recording of answers, and errors in data entry and processing. Inventories data for businesses with less than 20 employees are derived and could therefore be subject to error (although this error is estimated to be less than the sampling and non-sampling error resulting from directly collecting these data).

4 Estimates for the latest quarter presented in this publication are considered preliminary and revised estimates will be released with the next issue. As discussed in paragraphs 20 and 21 of the Explanatory Notes, seasonally adjusted and trend estimates are also subject to revision as more data are revised and more data becomes available.

5 It is difficult to measure the size of non-sampling errors. However, every effort is made in the design of the survey and development of survey procedures to minimise their effects.


STANDARD ERRORS

6 The estimates in this publication are based on a sample drawn from units in the surveyed population. Because the entire population is not surveyed, the published estimates are subject to sampling error. In calculating the standard error for the statistics in this publication, the ABS would prefer to produce a smoothed standard error for the major published aggregates as this approach takes account of the variability in standard error estimates for quarterly statistics. This estimated standard error would then be used as an indication of the sampling error for the current published series. Standard errors are based upon the data in the currently published quarter. Details of standard errors are available on the next page.


LEVEL ESTIMATES

7 To illustrate, let us say that the published level estimate for company profits before income tax is $8,900m and the calculated standard error in this case is $200m. The standard error is then used to interpret the level estimate of $8,900m. For instance, the standard error of $200m indicates that:

• There are approximately two chances in three that the real value falls within the range $8,700m to $9,100m ($8,900m ± $200m).
• There are approximately nineteen chances in twenty that the real value falls within the ranges $8,500m and $9,300m ($8,900m ± $400m).
• The true value in this case is the result we would obtain if we could enumerate the total population.

8 The following table shows the standard errors for national and state quarterly level estimates based upon the data in the current quarter.

	Company gross operating profits	Company profits before income tax	Sales of goods and services	Inventories	Wages and salaries
	$m	$m	$m	$m	$m
Mining	192	204	391	196	94
Manufacturing	220	214	1 370	842	238
Electricity, gas, water and waste services	122	73	442	11	33
Construction	360	361	3 641	na	602
Wholesale trade	265	274	2 695	1 672	240
Retail trade	226	227	1 946	1 020	212
Accommodation and food services	96	89	930	67	256
Transport, postal and warehousing	193	186	1 091	na	157
Information media and telecommunications	60	62	280	na	92
Financial and insurance services	145	186	521	na	306
Rental, hiring and real estate services	208	188	696	na	164
Professional, scientific and technical services	531	541	2 078	na	733
Administrative and support services	103	137	924	na	398
Education and Training	na	na	na	na	181
Health Care and Social Assistance	na	na	na	na	296
Arts and recreation services	27	26	159	na	55
Other services	134	129	799	na	228
Total	846	890	6 325	2 121	1 150
New South Wales	na	na	3 829	na	758
Victoria	na	na	3 106	na	639
Queensland	na	na	2 604	na	653
South Australia	na	na	1 354	na	256
Western Australia	na	na	2 338	na	388
Tasmania	na	na	277	na	72
Northern Territory	na	na	273	na	62
Australian Capital Territory	na	na	827	na	298
Australia	846	890	6 325	2 121	1 150
na not available

MOVEMENT ESTIMATES

9 The following example illustrates how to use the standard error to interpret a movement estimate. Let us say that one quarter the published level estimate for inventories is $90,000m, and the next quarter the published level estimate is $92,000m. In this example the calculated standard error for the movement estimate is $850m. The standard error is then used to interpret the published movement estimate of +$2,000m. For instance, the standard error of $850m indicates that:

• There are approximately two chances in three that the real movement over the two quarter period falls within the range $1,150m to $2,850m ($2,000m ± $850m).
• There are approximately nineteen chances in twenty that the real movement falls within the range $300m to $3,700m ($2,000m ± $1,700m)

10 The following table shows the standard errors for national quarterly movement estimates based upon the data in the current quarter.

	Company gross operating profits	Company profits before income tax	Sales of goods and services	Inventories	Wages and salaries
	$m	$m	$m	$m	$m
Mining	187	159	304	317	51
Manufacturing	214	206	874	531	133
Electricity, gas, water and waste services	71	61	324	8	24
Construction	388	386	2 688	na	446
Wholesale trade	210	219	1 286	865	135
Retail trade	236	243	1 102	665	119
Accommodation and food services	60	58	404	31	124
Transport, postal and warehousing	152	79	649	na	104
Information media and telecommunications	60	59	135	na	44
Financial and insurance services	108	106	177	na	120
Rental, hiring and real estate services	161	228	578	na	84
Professional, scientific and technical services	396	422	1 267	na	359
Administrative and support services	105	111	638	na	237
Education and Training	na	na	na	na	132
Health Care and Social Assistance	na	na	na	na	211
Arts and recreation services	29	30	138	na	24
Other services	100	97	469	na	133
Total	717	702	3 889	1 266	686
na not available

ADJUSTMENTS TO ESTIMATES

11 Adjustments are included in the estimates to allow for lags in processing new businesses to the Australian Business Register. The following table shows the adjustments made to the current quarter's original estimates in current price terms:

	September Quarter 2017
	%
Company gross operating profits	1.1
Company profits before income tax	1.2
Sales of goods and services	1.5
Inventories	0.9
Wages and salaries	1.9

12 As previously discussed, the estimates presented in this publication are partial indicators used in the compilation of the quarterly national accounts. The movements in the Business Indicators estimates will not always be the same as the movements in the comparable national accounts series but they should be reasonably consistent after taking account of differences in concepts, scope and methodology described in paragraph 26 of the Explanatory Notes. If after taking account of these differences, there are concerns about data quality and coherence, the national accounts area provides feedback to the survey area. This process may result in adjustments being applied to the Business Indicators estimates prior to release in this publication. The objective use of the national accounts framework to provide data coherence across all ABS economic statistics ensures that a common understanding of recent economic developments is presented.


SALES OF GOODS AND SERVICES TIME SERIES

13 This publication includes estimates of sales of goods and services, by industry, and by state/territory, but estimates of national total sales of goods and services are not published. Total sales of goods and services is not an adequate indicator of the performance of the Australian economy as it includes duplication; for example, goods sold by retailers may also be included in goods sold by wholesalers in the same period. However this publication does include total sales of goods and services, by state/territory, as it is considered that there may be interest in this item as a measure of relative activity. This data should be used with caution given the potential for the data to include duplication across industries.


PROFITS TIME SERIES

14 Estimates of gross operating profits are compiled by deducting estimates of items that do not involve the production of goods and services from estimates of profits before income tax. These items include: depreciation, net interest paid, net foreign exchange gains/losses and unrealised gains/losses on the revaluation of assets. These items are considered out of scope of the national accounts item gross operating surplus.

15 As indicated in paragraph 6 of the Explanatory Notes, income items (other than sales of goods and services), expense items (other than labour costs) and profits are only collected for businesses employing 20 or more persons in the Quarterly Business Indicators Survey (QBIS).


WAGES TIME SERIES

16 The Introduction of the Quarterly Business Indicators Survey from March quarter 2001 included the collection of private sector wages and salaries by industry.


PRIVATISED MARKETING AUTHORITIES

17 Three significant privatised marketing authorities came into scope of the estimates in this publication from the September quarter 1999. The introduction of these units resulted in a break in series for estimates for inventories and sales of goods and services between the June and September quarters 1999 and comparison of the series over time should be undertaken with care.

18 The methodology used by the ABS has ensured that the trend series has not been distorted by the introduction of these units, although there is a trend break evident between the June and September quarters 1999. For this reason, the trend estimates of movement have not been released for the Wholesale trade inventories, Total inventories and Wholesale trade sales series in respect of the September quarter 1999.


PRIVATISATION OF TELSTRA CORPORATION

19 Telstra Corporation was effectively privatised on 20 November 2006. For the purposes of ABS statistics this change from public sector to private sector was effective from March quarter 2007. This has impacted on some data series presented in this publication, particularly the March quarter 2007 movements. The data items affected are sales of goods and services, wages and salaries, company gross operating profits and the related profits series in the Manufacturing and Information media and telecommunications industry. The introduction of Telstra has resulted in a break in series for some series in this publication between the December quarter 2006 and March quarter 2007. The movement trend estimates, in percentage terms, have therefore not been released for the March quarter 2007.


TREND BREAK

20 In the June quarter 2010 release, trend break corrections were applied to Mining and Total company gross operating profits, company profits before income tax, business gross operating profits and Mining sales. These corrections were necessary due to very large mining commodity contract price rises that occurred on 1st April 2010. Trend break corrections were also applied to Manufacturing and Western Australian Sales of goods and services due to the movement of a major manufacturing business from the private to public sector. When a trend break occurs in a time series it is important that the trend movement estimate be treated with caution, hence the suppression of the quarterly and annual movement estimates for June 2010.