Revisions in the retail trade revenue and job vacancy data led to an upward revision of Composite Index figures for previous months (Table 1). Table 2 presents the development of components of the Index in the past few months.
Table 1: Revisions in the Composite Index
Revision |
Previous data |
New data |
November |
|
0.34 |
October |
0.10 |
0.19 |
September |
0.24 |
0.27 |
August |
0.25 |
0.29 |
Table 2: Changes in the Index components in recent months
(monthly percent change, unless otherwise noted)
|
November 2016 |
October 2016 |
September 2016 |
August 2016 |
Industrial Production Index (excluding mining and quarrying) |
|
-1.7 |
-2.4 |
2.8 |
Services Revenue Index (excluding education, and public administration) |
|
-1.2 |
1.6 |
-1.3 |
Retail Trade Revenue Index |
|
-1.8 |
1.1 |
-3.2 |
Imports of consumer goods1 |
-2.8 |
2.4 |
8.4 |
-3.8 |
Imports of manufacturing inputs (excluding fuels)1 |
0.4 |
-0.7 |
-0.9 |
-2.8 |
Goods exports (excluding agriculture) 1 |
7.7 |
-3.4 |
1.5 |
-4.2 |
Services exports (excluding transportation) 1 |
|
|
0.1 |
2.2 |
Number of employee posts in the private sector |
|
|
0.4 |
0.0 |
Rate of vacant employee posts out of total number of employed people in the business sector2 |
3.8 |
3.7 |
3.6 |
4.0 |
Building starts3 |
|
|
-1.1 |
|
1 Foreign trade indices are quantitative (in contrast to CBS monthly foreign trade indices).
2 The job vacancy rate is included in the Index at its level, seasonally adjusted and smoothed.
3 Since the Central Bureau of Statistics stopped publishing monthly figures on building starts, beginning in July 2016 the method of calculation of the building starts component of the Index was changed. The component is calculated at a quarterly frequency, and the change (seasonally adjusted, in percent) is attributed to the last month of the quarter for which the figure is published. The last figure published is for the second quarter (relating to June), and it shows an increase of 10.3 percent. The other months in the quarter are missing values for which the variable value is estimated in the model.
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