Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
AJPES Agency of the Republic of Slovenia for Public Legal Records and Related Services NR National Accounts PRS Business Register SES Structure of Earnings Survey SRDAP Statistical Register of Employment SURS Statistical Office of the Republic of Slovenia ZAP/M Monthly Report on Paid Earnings by Legal Persons; national official data on earnings
2.2. Classification system
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
2.3. Coverage - sector
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
2.4. Statistical concepts and definitions
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
2.5. Statistical unit
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
2.6. Statistical population
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
2.7. Reference area
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
2.8. Coverage - Time
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
2.9. Base period
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
3.1. Source data
For SES 2010 the data collection stage was done by the Agency of the Republic of Slovenia for Public Legal Records and Related Services (AJPES), which collected the data with a special electronic questionnaire. Changed sampling plan in 2006 (to randomly select only business entities (or their units) and observe all employees in these business entities) was performed also for SES 2010.
Sampling frame
As a basis for creating the sampling frame, data from SRDAP and PRS were used to which data from two statistical surveys – Monthly Report on Earnings Paid by Legal Persons and Monthly Report on Earnings Paid by Registered Natural Persons – and statuses from other statistical surveys were added. In this case data from the above mentioned surveys were used only as auxiliary data in determining large units that will be sampled with certainty. In the final sampling frame 74,124 units were included.
Size classes were determined on the basis of the data on the number of employees (source: SRDAP) as well as data on labour costs (source: final accounts estimated at the level of local units). Large business entities were those with 250 and more employees or with labour costs exceeding EUR 450,000. Other business entities were divided into three size classes: medium-sized (from 50 to 249 employees), small (from 10 to 49 employees) and micro (with fewer than 10 employees). As the second and third stratification variables activity (by the Standard Classification of Activities 2008 (NACE Rev. 2)) and cohesion regions were used.
Sample
The final sample size for the SES 2010 was 3,086 business entities or their units. Reporting units had to report data for all employees in the business entity or unit selected in the sample.
In the distribution of sample units by strata, optimum allocation by the number of employees was used, while in those strata where the calculation by optimum allocation yielded fewer than 8 units 8 units were sampled, i.e. if there were fewer than 8 units in the stratum, all units were sampled. Systematic sample selection was applied, sorting the units within each stratum by five-digit Standard Classification of Activities 2008 (NACE Rev. 2) codes and thus ensuring implicit stratification at the lowest level of activity.
Because in the case of the selected sampling plan it cannot be controlled for how many employees the unit will report data, it was decided to include control in the software application for reporting. If the business entities reported data for too low number of employees (according to data from SRDAP), the person reporting the data was warned.
Please see also the attached document Number of units and employees in the frame and sample.
Collection of the data was combination of existing sources, mainly from SRDAP, and questionnaire (Annex Questionnaire). The source for each variable is described in the table below.
Variable number in the EU Regulation
Variable name
How was the information collected
Question number in the survey questionnaire or formula
1
Information about the local unit to which the sampled employees are attached
1.1
Geographical location of the local unit (NUTS-1)
For national purposes data collected on NUTS-3 level - PRS
1.2
Size of the business entity to which the local unit belongs
PRS, SRDAP
1.3
Principal economic activity of the local unit (NACE Rev. 2)
PRS
1.4
Form of economic and financial control
PRS
1.5
Collective pay agreement
ZAP/M
1.6
Total number of employees in the local unit in the reference month (optional)
SRDAP
1.7
Affiliation of the local unit to a group of business entities (optional)
Data were not collected
2
Information on individual characteristics of each employee in the sample relating to the reference month
2.1
Sex
SRDAP
2.2
Age
SRDAP
2.3
Occupation (ISCO-08)
SRDAP
2.4
Management or supervisory position (optional)
Data were not collected
2.5
Highest successfully completed level of education and training (ISCED 97)
SRDAP
2.6
Length of service in the business entity
Included in the questionnaire
2
2.7
Contractual working time (full-time or part-time)
SRDAP
2.7.1
Share of a full-timer’s normal hours
SRDAP
2.8
Type of employment contract
SRDAP
2.9
Citizenship (optional)
Data were not collected
3
Information on working periods for each employee in the sample
3.1
Number of weeks in the reference year to which the gross annual earnings relate
Included in the questionnaire
13
3.2
Number of hours paid during the reference month
Included in the questionnaire and calculated
7, 9
3.2.1
Number of overtime hours paid in the reference month
Included in the questionnaire
8
3.3
Annual days of holiday leave
Included in the questionnaire
16
3.4
Other annual days of paid absence (optional)
Data were not collected
4
Information on earnings for each employee in the sample
4.1
Gross annual earnings in the reference year
Included in the questionnaire and calculated
10, 12, 15, 17, 18, 19
4.1.1
Annual bonuses and allowances not paid in each pay period
Included in the questionnaire and calculated
11, 15
4.1.2
Annual payments in kind (optional)
Data were not collected
17, 18, 19
4.2
Gross earnings in the reference month
Included in the questionnaire and calculated
3, 6
4.2.1
Earnings related to overtime
Included in the questionnaire
4
4.2.2
Special payments for shift work
Included in the questionnaire
5
4.2.3
Compulsory social contributions and taxes paid by the employer on behalf of the employee (optional)
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
4.2. Quality management - assessment
[Not requested]
5.1. Relevance - User Needs
The main users of Structure of Earnings Survey 2010 (SES 2010) results are the Institute of Macroeconomic Analyses and Development, Office for Equal Opportunities, the Bank of Slovenia, the Ministry of Labour, Family and Social Affairs, the Ministry of Finance, the Chamber of Commerce and Industry, the Employers' Association of Slovenia and trade unions. Important users are also units within the Statistical Office of the Republic of Slovenia (SURS). Other users of survey results are various research institutes, domestic and foreign companies, students and the media. Data published in the First Release are also sent to all users of data collected with the statistical survey Monthly Report on Earnings Paid by Legal Persons1.
The most important national users are the Ministry of Labour, Family and Social Affairs (The International Cooperation and European Affairs Service), the Institute of Macroeconomic Analyses and Development and the Employers' Association of Slovenia.
Major foreign users of survey data are Eurostat, the European Central Bank, the International Monetary Fund and the International Labour Organisation. SES data also represent basis for many researchers dealing with earnings statistics.
1 Official data on earnings in Slovenia.
5.2. Relevance - User Satisfaction
Structural data on earnings, including most wanted Gender Pay Gap, are one of the top data on earnings which are interesting not just for experts but also for general public. In general users are satisfied with data offered but as in 2006 also in 2010 two main weaknesses were mentioned; information on structure of earnings should be available more often than every four years (problem is solved by annual estimations, especially with annual Gender Pay Gap) and data availability which is almost one and half year after the reference period (for domestic users) or almost two years (for international comparison).
5.3. Completeness
[Not requested]
5.3.1. Data completeness - rate
[Not requested]
-
6.1. Accuracy - overall
[Not requested]
6.2. Sampling error
see 6.2.1
6.2.1. Sampling error - indicators
In the attached document Coefficients of variations are shown in percentage for variables 4.2 (Gross earnings in the reference month) and 4.3 (Average gross hourly earnings in the reference month) for different individual breakdowns. In the tables from 1 to 5 coefficients of variations are calculated for business entities with 1 and more employees while in the tables from 6 to 10 for business entities with 10 and more employees. In all tables from 1 to 10 data are for all activities A-S.
There are no difference between the reference and the study population. For national purposes for business entities and employees in activities A and S data were also collected and published. Moreover also data for business entities with less than 10 employees were included.
On total there was 5.5% of over-coverage among business entities and 1.9% among employees (see the table below). Higher over-coverage is because of the increased number of business entities without paid wages mainly because of the crises. There were some responses from units which were not in the sample but they were in the frame. Undercoverage was not detected.
Over-coverage rates by sections of activities
Over-coverage rates
by business entities
by employees
Slovenia
5,5%
1,9%
A
4,6%
2,4%
B
0,0%
0,0%
C
5,1%
1,1%
D
3,1%
6,9%
E
0,0%
0,0%
F
2,7%
0,7%
G
6,8%
2,3%
H
1,5%
1,8%
I
4,1%
3,4%
J
3,4%
1,8%
K
4,6%
4,4%
L
19,1%
9,7%
M
5,2%
3,3%
N
11,9%
4,0%
O
4,7%
1,3%
P
8,2%
0,5%
Q
7,6%
1,9%
R
8,7%
3,1%
S
9,4%
7,9%
Over-coverage rates by size classes
Over-coverage rates
by business entities
by employees
Slovenia
5,5%
1,9%
Less than 10 employees
6,1%
4,1%
10 to 49 employees
3,0%
1,2%
50 to 249 employees
4,5%
1,3%
250 to 499 employees
6,8%
2,5%
500 to 999 employees
0,2%
1,6%
1000 and more employees
1,3%
1,1%
6.3.1.2. Common units - proportion
-
6.3.2. Measurement error
Data were collected electronically by AJPES. Every question in the questionnaire contains the definition of what must be included in and excluded from the data. Methodology and definitions were published in Official Journal as well as on SORS and AJPES internet sites. First logic control was built in application of data collection where mistakes were hard or soft (colored in red or yellow). Data could not be transferred with hard mistakes. Mistakes are described in the following table. In case of unit non-response reporting units were notified to send the data.
Set of logic test for SES 2010 questionnaire and number of mistakes for each variable from the questionnaire
Mistake
Type1
Description2
Number of mistakes
Absolute
Relative
Total
278.511
100,0%
N1
H
PIN module
542
0,2%
N2
H
Date of birth less than 1 January 1925
11
0,0%
N3
H
SN002>1 January 2011
868
0,3%
N4
H
SN004>0 AND SN003=0 OR SN005>0 AND SN003=0 OR SN006>0 AND SN003=0
423
0,2%
N5
H
SN004>SN003 OR SN005>SN003 OR SN006>SN003
1.282
0,5%
N6
S
SN003>20000
51
0,0%
N7
S
SN004>SN003*0.5
585
0,2%
N8
S
SN005>SN003*0.5
934
0,3%
N9
S
SN006>SN003*0.7
4.602
1,7%
N10
H
SN003>0 AND SN007=0 OR SN007>0 AND SN003=0
3.033
1,1%
N11
H
SN004>0 AND SN008=0 OR SN008>0 AND SN004=0
621
0,2%
N12
H
SN006>0 AND SN009=0 OR SN009>0 AND SN006=0
462
0,2%
N13
H
SN008>0 AND SN007=0
73
0,0%
N14
H
SN009>0 AND SN007=0
183
0,1%
N15
H
SN008>SN007
75
0,0%
N16
H
SN009>SN007
382
0,1%
N17
S
SN008=0 AND SN007>200
1.398
0,5%
N18
S
SN008>0 AND SN007>300
341
0,1%
N19
S
SN008>30
5.419
1,9%
N20
H
SN003>0 AND SN010=0
2.191
0,8%
N21
H
SN010
2.335
0,8%
N22
H
SN011>0 AND SN010=0
241
0,1%
N23
H
SN012>0 AND SN010=0
340
0,1%
N24
H
SN011>SN010
1.296
0,5%
N25
H
SN012>SN010
923
0,3%
N26
S
SN011>SN010*0.6
1.537
0,6%
N27
S
SN012>SN010*0.7
2.361
0,8%
N28
H
SN010>0 AND SN013=0 OR SN013>0 AND SN010=0
1.334
0,5%
N29
H
SN014>0 AND SN013=0
336
0,1%
N30
H
SN014>SN013
993
0,4%
N31
S
SN014=0 AND SN013>2400 (200 per month)
872
0,3%
N32
S
SN014>0 AND SN013>3600 (300 per month)
385
0,1%
N33
S
SN014>300 (25 per month)
5.057
1,8%
N34
S
SN015>1500
16.710
6,0%
N35
S
SN016>60
3.152
1,1%
N36
S
SN017>SN010*0.4
1.631
0,6%
N37
S
SN018>SN010*0.7
1.418
0,5%
N38
S
SN019>SN010*0.6
2.538
0,9%
N39
H
SN010=0
2.958
1,1%
N40
H
SN002
113
0,0%
N41
H
SN014
595
0,2%
N42
H
SN013
3.470
1,2%
N43
H
SN012
480
0,2%
N44
H
SN003>50000
23
0,0%
N45
H
SN008>200
21
0,0%
N46
H
SN008=0 AND SN007>300
508
0,2%
N47
H
SN008>0 AND SN007>400
282
0,1%
N48
H
SN016>100
2.969
1,1%
N49
S
SN018=0
58.899
21,1%
N50
S
SN019=0
59.917
21,5%
N51
S
SN015=0
35.374
12,7%
N52
H
SN003/SN007<0.5
1.713
0,6%
N53
H
SN010/SN013<0.5
677
0,2%
N54
H
SN004/SN008<0.5
278
0,1%
N55
H
SN005>0 AND SN016=0
16.780
6,0%
N56
S
SN016>0 AND SN015=0
26.519
9,5%
The highest share of mistakes was in N49 (payments for meals) and N50 (payments for travel between home and work) where most of the employees are entitled for these payments but not all while logic controls was set as obligatory for all employees. Therefore both logic controls were set as soft error, where confirmation of correct data from reporting person was necessary.
Also high share of mistakes (21.6 %) was in N51 because of holiday bonus where there is limit set by law. For payments below or equal to the limit just income taxes are paid but above the limit also social security contributions must be paid. Logic control was set on the limit set by law but many companies paid above the limit.
All hard mistakes detected through the system of logical controls were corrected by the companies themselves. Where a lot of soft mistakes occurred (e.g. N34) companies were contacted and data were double checked. Variables from existing sources were not controlled, they have their own checking. Data from existing sources were put through code list to check possible miscoding.
1 H – hard mistake; S – soft mistake
2 SN – serial number of the question from the questionnaire
6.3.3. Non response error
Unit response rate
The overall unit response rate was 72.6%. Response rate concerning employees was 79.8%. Response rates by activities are in the table below.
Response rates by section of activities
Unit response rate
Response rate by employees
Slovenia
72,6%
79,8%
A
61,9%
71,3%
B
69,4%
91,7%
C
72,0%
80,6%
D
87,0%
92,3%
E
83,0%
91,9%
F
48,5%
54,7%
G
77,3%
80,3%
H
57,9%
65,1%
I
59,5%
69,0%
J
82,7%
86,7%
K
83,1%
86,6%
L
76,3%
82,2%
M
71,8%
77,2%
N
68,5%
82,2%
O
95,1%
98,2%
P
83,1%
84,8%
Q
88,6%
92,8%
R
88,0%
88,9%
S
51,0%
54,4%
In the sample key-responders were selected which represent units from which respond is necessary to obtain the sample quality. In case of unit non-response re-weighting was used.
Item response rate
For most mandatory variables, including ‘Gross earnings in the reference month (4.2), data were expected while filling in the electronic questionnaire. This variable was not included in the logic control as hard mistake, because it is possible for employee not to have been paid in October. Missing data were checked at the business entities and corrected if necessary. No imputation was performed in case of item non-response.
6.3.3.1. Unit non-response - rate
[Not requested]
6.3.3.2. Item non-response - rate
[Not requested]
6.3.4. Processing error
See 6.3.4.1.
6.3.4.1. Imputation - rate
Overall imputation rate
Most of the mandatory variables (those collected with the questionnaire) were included in the logic control and mostly of them were treated as hard mistakes in case of item non-response. Also the questionnaire could not be delivered if these variables were not filled in correctly. For those variables no imputation were performed, just statistical editing. Overall imputation rate was 0.9%, and including editing 4.8%.
Statistical imputation rate including editing for mandatory variables
Variable number in the EU Regulation
Rate of statistical editing
1.1
0,0%
1.2
0,0%
1.3
0,0%
1.4
0,0%
1.5
1,8%
2.1
1,3%
2.2
0,0%
2.3
1,4%
2.5
4,4%
2.6
0,8%
2.7
0,2%
2.7.1
0,2%
2.8
1,3%
3.1
9,2%
3.2
9,7%
3.2.1
9,5%
3.3
0,7%
4.1
7,3%
4.1.1
0,0%
4.2
7,3%
4.2.1
9,4%
4.2.2
9,5%
6.3.5. Model assumption error
No models were used.
6.4. Seasonal adjustment
[Not requested]
6.5. Data revision - policy
[Not requested]
6.6. Data revision - practice
[Not requested]
6.6.1. Data revision - average size
[Not requested]
7.1. Timeliness
Data were published on 29 June 2012 which is 18 months after the reference period as it is stated in the EU regulation. Data were published in Slovenia and sent to Eurostat on the same day.
7.1.1. Time lag - first result
[Not requested]
7.1.2. Time lag - final result
[Not requested]
7.2. Punctuality
The responding units were notified with a circular letter about being included in the sample, which was sent to them by mail or by post where mail was unknown. The circular letter contained the general information about the survey and obligation by Law of Statistics to fill the questionnaire and for which variables data are already collected from the existing sources. The guidelines and definitions were published on internet sites of SURS and AJPES.
The questionnaire was open for filling it in on 1 March 2011. The deadline for filling in the questionnaire was set to 31 march 2011, but the final deadline was then change to 3 May 2011. After the deadline non–responded business entities were notified by mail. In July and August just non-responded key-responders were contacted to send the data. The data collection ended in October 2011. Data delivery is shown in the figure below.
SES 2010 data delivery by weeks (in %)1
From end of October 2011 to February 2012 data were analysed and some double checking with responding units were done. In March 2012 the data were weighted and basic tables were made. Through period from April until June 2012 other tables were produced and checked. First Release was sent out on 29 June 2012 as a provisional data2. First release contained data on hourly, monthly and annual earnings per employee by activities, sex, main occupational and educational groups, age and size classes, including short methodological explanations. On the same day data were put in Eurostat's standard scheme and sent to Eurostat via Edamis.
1 week 9 starts from 28 February 2011 and week 42 ends with 23 October 2011
SES 2010 data were collected in accordance with EU regulations with some exceptions listed below:
Also business entities with less than 10 employees were included because of national purposes. In Slovenia there are many small business entities; by SES 2010 sample frame 84.7% of all business entities, which represents 20.8% employees.
Apprentices were excluded due to negligible phenomena and because units would face a problem filling the data.
By the regulation payments paid by employer at a reduced rate are to be excluded. In Slovenia there are a lot of payments at a reduced rate because all sickness leave which is paid by employer (up to 30 days) is paid at a reduced rate (except in case of injuries at work). Therefore data on monthly and annual earnings were collected separately for total and payments at a reduced rate. For EU purposes payments at a reduced rate were deduct from total payments (the same procedure was applied for paid hours and paid hours at a reduced rate).
Holiday bonus in Slovenia is not treated as wage component. In tables for Eurostat holiday bonus was included but for national purposes holiday bonus was excluded from annual earnings data and shown separately.
Wages in kind in Slovenia is not treated as wage component though wages in kind in Slovenia represent high share in total costs because of payments for travel between home and work. In Slovenia most of employees are entitled to receive payments for travel between home and work by different ways (e.g. as cash payments, bus or train tickets). In tables for Eurostat payments in kind were included but for national purposes payments in kind were excluded from annual earnings data and were shown separately.
8.1.1. Asymmetry for mirror flow statistics - coefficient
[Not requested]
8.2. Comparability - over time
In comparison with SES 2006, in SES 2010 almost all methods were the same. There were small changes in data collection (wages in kind were added in the questionnaire).
8.2.1. Length of comparable time series
[Not requested]
8.3. Coherence - cross domain
Coherence between gross annual earnings per employee from SES 2010 and wages and salaries per employee from National Accounts
SES
NA
SES / NA
Slovenia
20.188
20.787
97,1
A
Agriculture, forestry and fishing
16.770
14.471
115,9
B
Mining and quarrying
26.743
26.586
100,6
C
Manufacturing
18.109
18.652
97,1
D
Electricity,gas,steam,air cond.supply
29.277
31.101
94,1
E
Water suppl;sewer.,wst.manag.,remed.act
19.968
20.255
98,6
F
Construction
15.909
16.371
97,2
G
Wholesale,retail;repair of mot.vehicles
18.959
20.081
94,4
H
Transportation and storage
18.826
19.998
94,1
I
Accommodation and food ser.activities
14.057
14.986
93,8
J
Information and communication
28.271
29.343
96,3
K
Financial and insurance activities
29.638
30.308
97,8
L
Real estate activities
20.756
23.500
88,3
M
Professional,scientific,technical act.
24.069
27.409
87,8
N
Administrative and support service act.
14.017
15.773
88,9
O
Public admin.defence;compulsory soc.sec.
24.222
24.307
99,6
P
Education
22.708
22.797
99,6
Q
Human health and social work activities
23.122
22.748
101,6
R
Arts,entertainment and recreation
23.729
24.500
96,9
S
Other service activities
16.520
18.745
88,1
Coherence between number of employees from SES 2010 and from National Accounts
SES
NA
SES / NA
Slovenia
720.457
783.700
91,9
A
Agriculture, forestry and fishing
4.719
7.000
67,4
B
Mining and quarrying
3.075
2.900
106,0
C
Manufacturing
175.938
184.700
95,3
D
Electricity,gas,steam,air cond.supply
7.970
7.900
100,9
E
Water suppl;sewer.,wst.manag.,remed.act
8.571
9.400
91,2
F
Construction
60.083
69.000
87,1
G
Wholesale,retail;repair of mot.vehicles
100.738
106.700
94,4
H
Transportation and storage
41.986
44.900
93,5
I
Accommodation and food ser.activities
27.530
28.400
96,9
J
Information and communication
20.760
21.600
96,1
K
Financial and insurance activities
23.192
24.000
96,6
L
Real estate activities
3.804
4.800
79,3
M
Professional,scientific,technical act.
38.297
41.100
93,2
N
Administrative and support service act.
24.428
42.300
57,7
O
Public admin.defence;compulsory soc.sec.
51.018
53.400
95,5
P
Education
60.949
63.200
96,4
Q
Human health and social work activities
49.546
51.600
96,0
R
Arts,entertainment and recreation
10.017
11.400
87,9
S
Other service activities
7.836
9.400
83,4
Almost in all activities there are lower average annual wages and salaries per employee in SES compared to NA data because in Slovenia in wages and salaries per employee in NA data also some payments are included which are not parts of wage system (e.g. retirement bonus, jubilee rewards)1.
There reasons for the major differences between both surveys in activities are some groups of business entities or employees included in NR but not in SES; unpaid family members in activity A, business entities without employees in activity L and students in activity N8. In other activities with larger difference no special reason were found except in activity S where there was low unit response rate (see 6.3.3 table "Response rates by section of activities").
1 Data on holiday bonus and payments in kind are also not part of wage system in Slovenia but were collected and included in SES 2010 Eurostat tables but excluded for national purposes. In the table above "Coherence between gross annual earnings per employee from SES 2010 and wages and salaries per employee from National Accounts" holiday bonus and payments in kind are included in SES data.
2 See also table above "Coherence between number of employees from SES 2010 and from National Accounts".
8.4. Coherence - sub annual and annual statistics
[Not requested]
8.5. Coherence - National Accounts
[Not requested]
8.6. Coherence - internal
[Not requested]
9.1. Dissemination format - News release
According to the SURS publishing policy, data were first published in First Release (in June 2012) as provisional data, including explanations and short methodology.
9.2. Dissemination format - Publications
More detailed results are planned to be published in 2013 in Rapid Reports (in electronic version) with tables, graphs, methodological explanations and definitions.
First release (and later Rapid Reports) is sending to all our users of ZAP/M statistical survey.
Individual data are also available in the safe room at SURS.
9.5. Dissemination format - other
To the reporting units no results will be sent, only on their explicit request.
9.6. Documentation on methodology
Subscribed users on ZAP/M statistical survey received an e-mail notification of First release of provisional SES data. Publication with final data will be also sent to all ZAP/M statistical survey. Only electronic version will be available on SURS internet sites, free of charge. After the publication of final data in first quarter 2013, it is planned to publish detailed methodological explanations.
9.7. Quality management - documentation
[Not requested]
9.7.1. Metadata completeness - rate
[Not requested]
9.7.2. Metadata - consultations
[Not requested]
[Not requested]
11.1. Confidentiality - policy
[Not requested]
11.2. Confidentiality - data treatment
[Not requested]
-
List of abbreviations:
AJPES Agency of the Republic of Slovenia for Public Legal Records and Related Services NR National Accounts PRS Business Register SES Structure of Earnings Survey SRDAP Statistical Register of Employment SURS Statistical Office of the Republic of Slovenia ZAP/M Monthly Report on Paid Earnings by Legal Persons; national official data on earnings
Not Applicable
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
Not Applicable
[Not requested]
Not Applicable
[Not requested]
For SES 2010 the data collection stage was done by the Agency of the Republic of Slovenia for Public Legal Records and Related Services (AJPES), which collected the data with a special electronic questionnaire. Changed sampling plan in 2006 (to randomly select only business entities (or their units) and observe all employees in these business entities) was performed also for SES 2010.
Sampling frame
As a basis for creating the sampling frame, data from SRDAP and PRS were used to which data from two statistical surveys – Monthly Report on Earnings Paid by Legal Persons and Monthly Report on Earnings Paid by Registered Natural Persons – and statuses from other statistical surveys were added. In this case data from the above mentioned surveys were used only as auxiliary data in determining large units that will be sampled with certainty. In the final sampling frame 74,124 units were included.
Size classes were determined on the basis of the data on the number of employees (source: SRDAP) as well as data on labour costs (source: final accounts estimated at the level of local units). Large business entities were those with 250 and more employees or with labour costs exceeding EUR 450,000. Other business entities were divided into three size classes: medium-sized (from 50 to 249 employees), small (from 10 to 49 employees) and micro (with fewer than 10 employees). As the second and third stratification variables activity (by the Standard Classification of Activities 2008 (NACE Rev. 2)) and cohesion regions were used.
Sample
The final sample size for the SES 2010 was 3,086 business entities or their units. Reporting units had to report data for all employees in the business entity or unit selected in the sample.
In the distribution of sample units by strata, optimum allocation by the number of employees was used, while in those strata where the calculation by optimum allocation yielded fewer than 8 units 8 units were sampled, i.e. if there were fewer than 8 units in the stratum, all units were sampled. Systematic sample selection was applied, sorting the units within each stratum by five-digit Standard Classification of Activities 2008 (NACE Rev. 2) codes and thus ensuring implicit stratification at the lowest level of activity.
Because in the case of the selected sampling plan it cannot be controlled for how many employees the unit will report data, it was decided to include control in the software application for reporting. If the business entities reported data for too low number of employees (according to data from SRDAP), the person reporting the data was warned.
Please see also the attached document Number of units and employees in the frame and sample.
Collection of the data was combination of existing sources, mainly from SRDAP, and questionnaire (Annex Questionnaire). The source for each variable is described in the table below.
Variable number in the EU Regulation
Variable name
How was the information collected
Question number in the survey questionnaire or formula
1
Information about the local unit to which the sampled employees are attached
1.1
Geographical location of the local unit (NUTS-1)
For national purposes data collected on NUTS-3 level - PRS
1.2
Size of the business entity to which the local unit belongs
PRS, SRDAP
1.3
Principal economic activity of the local unit (NACE Rev. 2)
PRS
1.4
Form of economic and financial control
PRS
1.5
Collective pay agreement
ZAP/M
1.6
Total number of employees in the local unit in the reference month (optional)
SRDAP
1.7
Affiliation of the local unit to a group of business entities (optional)
Data were not collected
2
Information on individual characteristics of each employee in the sample relating to the reference month
2.1
Sex
SRDAP
2.2
Age
SRDAP
2.3
Occupation (ISCO-08)
SRDAP
2.4
Management or supervisory position (optional)
Data were not collected
2.5
Highest successfully completed level of education and training (ISCED 97)
SRDAP
2.6
Length of service in the business entity
Included in the questionnaire
2
2.7
Contractual working time (full-time or part-time)
SRDAP
2.7.1
Share of a full-timer’s normal hours
SRDAP
2.8
Type of employment contract
SRDAP
2.9
Citizenship (optional)
Data were not collected
3
Information on working periods for each employee in the sample
3.1
Number of weeks in the reference year to which the gross annual earnings relate
Included in the questionnaire
13
3.2
Number of hours paid during the reference month
Included in the questionnaire and calculated
7, 9
3.2.1
Number of overtime hours paid in the reference month
Included in the questionnaire
8
3.3
Annual days of holiday leave
Included in the questionnaire
16
3.4
Other annual days of paid absence (optional)
Data were not collected
4
Information on earnings for each employee in the sample
4.1
Gross annual earnings in the reference year
Included in the questionnaire and calculated
10, 12, 15, 17, 18, 19
4.1.1
Annual bonuses and allowances not paid in each pay period
Included in the questionnaire and calculated
11, 15
4.1.2
Annual payments in kind (optional)
Data were not collected
17, 18, 19
4.2
Gross earnings in the reference month
Included in the questionnaire and calculated
3, 6
4.2.1
Earnings related to overtime
Included in the questionnaire
4
4.2.2
Special payments for shift work
Included in the questionnaire
5
4.2.3
Compulsory social contributions and taxes paid by the employer on behalf of the employee (optional)
Data were published on 29 June 2012 which is 18 months after the reference period as it is stated in the EU regulation. Data were published in Slovenia and sent to Eurostat on the same day.
SES 2010 data were collected in accordance with EU regulations with some exceptions listed below:
Also business entities with less than 10 employees were included because of national purposes. In Slovenia there are many small business entities; by SES 2010 sample frame 84.7% of all business entities, which represents 20.8% employees.
Apprentices were excluded due to negligible phenomena and because units would face a problem filling the data.
By the regulation payments paid by employer at a reduced rate are to be excluded. In Slovenia there are a lot of payments at a reduced rate because all sickness leave which is paid by employer (up to 30 days) is paid at a reduced rate (except in case of injuries at work). Therefore data on monthly and annual earnings were collected separately for total and payments at a reduced rate. For EU purposes payments at a reduced rate were deduct from total payments (the same procedure was applied for paid hours and paid hours at a reduced rate).
Holiday bonus in Slovenia is not treated as wage component. In tables for Eurostat holiday bonus was included but for national purposes holiday bonus was excluded from annual earnings data and shown separately.
Wages in kind in Slovenia is not treated as wage component though wages in kind in Slovenia represent high share in total costs because of payments for travel between home and work. In Slovenia most of employees are entitled to receive payments for travel between home and work by different ways (e.g. as cash payments, bus or train tickets). In tables for Eurostat payments in kind were included but for national purposes payments in kind were excluded from annual earnings data and were shown separately.
In comparison with SES 2006, in SES 2010 almost all methods were the same. There were small changes in data collection (wages in kind were added in the questionnaire).
