Data Collection
Labour Market Statistics: June 2018 quarter
#Period-specific information
##Response Rates
Survey |
Reference period |
Response rate |
Sample rate |
HLFS |
Each week during the quarter (8 April 2018 – 7 July 2018) |
Target: 90 percent |
Target: 76 percent |
QES |
The pay week ending on, or before, 20 May 2018 |
Target: 89 percent |
N/A |
LCI |
Pay rates at 15 May 2018 |
Target: 94 percent |
N/A |
See New quality measures for the Household Labour Force Survey for more information on the sample rate and response rates.
##LCI
The following table shows four different scenarios based on the impacts of the increase of minimum wage and the Care and Support Worker (Pay Equity) Settlement Act 2017 being introduced, as well as differences had these not come into effect.
LCI - All salary and wage rates (including overtime), June 2018 quarter, percentage change |
||
All sectors combined |
Quarterly |
Annual |
Published |
0.5% |
1.9% |
Excluding impact of minimum wage |
0.4% |
1.8% |
Excluding impact of Care and Support Workers (Pay Equity) Settlement Act 2017 |
0.5% |
1.6% |
Excluding impact of minimum wage and Care and Support Workers (Pay Equity) Settlement Act 2017 |
0.4% |
1.5% |
Private sector |
Quarterly |
Annual |
Published |
0.6% |
2.1% |
Excluding impact of minimum wage |
0.4% |
1.9% |
Excluding impact of Care and Support Workers (Pay Equity) Settlement Act 2017 |
0.6% |
1.7% |
Excluding impact of minimum wage and Care and Support Workers (Pay Equity) Settlement Act 2017 |
0.4% |
1.6% |
Note: Where the respondent reported minimum wage or Care and Support Workers (Pay Equity) Settlement Act 2017 as a reason for the change, wage rates were carried forward from the previous quarter.
##HLFS
###Outliers During the seasonal adjustment process, X-13-ARIMA-SEATS can give less weight to the irregular component. Specifically, if the estimated irregular component at a point in time is sufficiently large compared with the standard deviation of the irregular component as a whole, then the irregular component at that point can be downweighted or removed completely and re-estimated. We refer to such observations as partial- and zero-outliers, respectively. In practice, the downweighting of outliers does little to seasonally adjusted data, but the impact of the outliers on the trend series will generally be reduced. However, if an outlier ceases to be an outlier as more data becomes available, then significant revisions to the trend series become possible.
The table below shows any partial (P) and zero (Z) outliers for the last year of each time series
Outliers | ||||||
Quarters |
Male employed |
Female employed |
Male unemployed |
Female unemployed |
Male not in the labour force |
Female not in the labour force |
Sep 2017 |
P |
P |
Z |
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Dec 2017 |
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Mar 2018 |
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Jun 2018 |
###HLFS pre- and post-calibration weight The following figure shows that while the distribution of the pre- and post-calibration weights differs within a quarter, the difference between the weights typically does not change from quarter to quarter.
The undercoverage rate indicates how representative the pre-calibrated sample is. The higher the undercoverage rate, the less representative the pre-calibrated sample.
Usually the undercoverage rate in the HLFS is around 20 percent. The overall undercoverage rate for the HLFS in the June 2018 quarter was 19.3 percent. This compares with 18.7 in the March 2018 quarter and 19.3 percent in the June 2017 quarter.
###Revisions to HLFS
Each quarter, we apply the seasonal adjustment process to the latest quarter and all previous quarters. Every estimate is subject to revision each quarter as new data is added, which means that seasonally adjusted estimates for previous quarters may change slightly. In practice, estimates more than two years from the end-point will change little.
The March 2018 quarter unemployment rate remained at 4.4 percent after we applied seasonal adjustment.
This table lists the changes in estimates between the current and previous quarters for the seasonally adjusted data.
Percent revision from last estimate, seasonally adjusted |
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Quarter |
Male employed |
Female employed |
Male unemployed |
Female unemployed |
Male not in labour force |
Female not in labour force |
Jun 2017 |
0.02 |
0 |
-1.41 |
0.3 |
0.02 |
0 |
Sep 2017 |
0.01 |
-0.02 |
0.29 |
-0.04 |
0 |
0.01 |
Dec 2017 |
0.01 |
0.01 |
0 |
-0.23 |
0.02 |
-0.01 |
Mar 2018 |
-0.04 |
0.01 |
1.16 |
0.04 |
-0.05 |
-0.02 |
This table presents revisions for the trend estimates. Trend revisions are generally larger than those of the seasonally adjusted data.
Percent revision from last estimate, trend |
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Quarter |
Male employed |
Female employed |
Male unemployed |
Female unemployed |
Male not in labour force |
Female not in labour force |
Jun 2017 |
0.06 |
0.04 |
2.11 |
-0.3 |
-0.17 |
-0.15 |
Sep 2017 |
0.04 |
0.07 |
1.13 |
-0.26 |
-0.11 |
-0.12 |
Dec 2017 |
0.05 |
0.06 |
-0.91 |
-0.03 |
-0.05 |
-0.07 |
Mar 2018 |
-0.13 |
0.07 |
3.08 |
0.56 |
-0.2 |
0.05 |
The table below shows the average of all such absolute revisions, expressed relatively, and indicates to what extent the current estimates might be revised when the revised data for the next quarter becomes available.
Mean absolute percent revisions |
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Seasonally adjusted |
Trend |
|||
1-step |
4-step |
1-step |
4-step |
|
Male employed |
0.05 |
0.08 |
0.17 |
0.17 |
Female employed |
0.06 |
0.11 |
0.24 |
0.24 |
Male unemployed |
0.47 |
0.76 |
1.78 |
1.82 |
Female unemployed |
0.51 |
0.86 |
1.9 |
2.02 |
Male not in labour force |
0.1 |
0.17 |
0.38 |
0.38 |
Female not in labour force |
0.09 |
0.14 |
0.37 |
0.38 |
##General information and methodology
For general information and methodology on the specific surveys within the labour market statistics release, please see the following Datainfo+ pages:
en-NZ