Structure of earnings survey 2010 (earn

Structure of earnings survey 2010 (earn_ses2010)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: Statistical Office Estonia

Eurostat metadata

Reference metadata

1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)

For any question on data and metadata, please contact: Eurostat user support

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1. Contact

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1.1. Contact organisation

Statistical Office Estonia

1.2. Contact organisation unit

Data Processing and Registers Department

Methodology Department

1.5. Contact mail address

2. Statistical presentation

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2.1. Data description

[Not requested]

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. Statistical processing

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3.1. Source data

Probability sampling

Sample design of SES is stratified two-stage sample. On the first stage enterprises, organisations and institutions are selected. Before the selecting the first stage sample the units will be stratified with respect to kind of activity and number of employees.

All units with 150 and more employees will be selected into the first stage sample with probability 1. On the second stage in each of them a random sample of employees will be selected by birthday rule whereas the employees belong to the 1 major group of ISCO-08 are completely enumerated.

Among primary sampling units with less than 150 employees a simple random sample will be selected in each stratum. Employees belonging to the units selected into the sample on this first stage will be enumerated totally.

Stage

Stratification

Sampling unit

Inclusion probability

First stage

Economic activity,

size of unit

Enterprises, organisations and institutions

Units with less than 150 employees – probability 0.15 - 0.67

Units with 150 employees and more – probability 1.0

Second stage

Size of unit,

occupation

Employees

Units with less than 150 employees – probability 1.0

Units with 150 employees and more, ISCO-08 group 1 – probability 1.0

Units with 150 employees and more, ISCO-08 groups 2-9 – probability about.0.1

3.2. Frequency of data collection

[Not requested]

3.3. Data collection

[Not requested]

3.4. Data validation

[Not requested]

3.5. Data compilation

[Not requested]

3.6. Adjustment

[Not requested]

4. Quality management

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4.1. Quality assurance

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. Relevance

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5.1. Relevance - User Needs

The SES has been carried out third time in Estonia.

Main users are Eurostat and other EU institutions. Other users are Ministry of Finance, Ministry of Social Affairs, Ministry of Economic Affairs, banks, scientific institutions, foreign and local employer’s associations, foreign entrepreneurs, trade unions, media and Statistical Office of Estonia itself. Above-mentioned users are more interested in the short-term wages and salaries per employee.

5.2. Relevance - User Satisfaction

We have no information on user satisfaction. We don’t carry out the survey on the user satisfaction on this topic.

5.3. Completeness

[Not requested]

5.3.1. Data completeness - rate

[Not requested]

6. Accuracy and reliability

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6.1. Accuracy - overall

[Not requested]

6.2. Sampling error

[Not requested]

6.2.1. Sampling error - indicators

Probability sampling

Coefficients of variation (CV) were calculated for total gross monthly earnings and average gross hourly earnings full-time and part-time employees, sex, economic activity, occupation, age band and size band. CV by NACE and region was omitted because NUTS level 1 is whole country. Software SAS and CLAN were used for calculations. Sample design – stratification and inclusion probabilities in both stages were taken into account estimating sample variance. The results are presented in the tables in the the attached document Coefficients of variation where ‘standard error’ denotes the square root of the variance.

Overall CV of total gross monthly earnings was 0.74% for full-time employees and 1.90% for part-time employees. CV was below 6% for most of groups of full-time employees. For some small groups with high variability the CV exceeded 20% (ISCO group 6). Overall CV of average gross hourly earnings was 0.42% for full-time employees and it exceeded 10% for the ISCO group 6. The CVs for part-time employees were significantly higher because of small sample size.

Annexes:
Coefficients of variation

6.3. Non-sampling error

[Not requested]

6.3.1. Coverage error

The sample was selected from the register updated in the end of the year 2009. The sampling frame used contained certain amount of over-coverage because in the end of the year 2009 all new-born enterprises had been included into the register and a part of them did not start activities during 2010.

Under-coverage of the sampling frame is caused by delay between selection of the sample and data collection. The sample was selected from the register in September 2010 and the enddate of the data collection was set to the 1st of March 2011. During the year 2010 a number of enterprises were born and had started their activities but were not covered by the survey, i.e. formed the undercoverage. In the table below over-coverage rates broken down by 2-digit NACE code are presented. Those rates are calculated as ratios of the number of nonactive units over the total number of units in the register. The number of non-active units is estimated based on the sample.

6.3.1.1. Over-coverage - rate

Over-coverage by kind of activity

NACE Rev. 2	Population size	Over-coverage rate	NACE Rev. 2	Population size	Over-coverage rate
		%			%
6	1	0.0	52	807	3.1
8	90	15.9	53	49	8.2
9	1	0.0	55	486	8.3
10	366	7.8	56	1,226	8.3
11	30	0.0	58	261	8.9
13	180	5.6	59	211	4.5
14	369	7.4	60	26	0.0
15	57	0.0	61	93	2.2
16	919	4.5	62	790	7.7
17	55	4.2	63	178	8.4
18	239	9.4	64	436	7.9
19	8	0.0	65	17	5.9
20	61	0.0	66	151	0.0
21	14	0.0	68	7,495	1.1
22	169	8.0	69	1,894	1.6
23	205	4.8	70	1,392	1.3
24	25	21.3	71	1,250	2.2
25	792	6.9	72	139	0.0
26	90	1.1	73	593	4.0
27	72	0.0	74	606	3.2
28	147	11.1	75	65	0.0
29	46	21.1	77	414	4.2
30	55	0.0	78	328	6.1
31	480	18.4	79	270	3.2
32	161	0.0	80	80	5.4
33	387	1.6	81	490	4.1
35	154	0.0	82	510	8.5
36	75	0.0	84	479	1.2
37	20	0.0	85	2,047	2.0
38	123	0.0	86	1,193	3.0
39	4	0.0	87	176	1.7
41	2,808	11.5	88	225	0.0
42	488	6.9	90	331	0.0
43	3,024	8.4	91	638	0.0
45	1,694	5.2	92	18	19.4
46	5,119	6.7	93	1,276	3.4
47	4,018	8.0	94	1,972	0.0
49	2,582	7.6	95	243	0.0
50	23	0.0	96	964	10.3
51	6	0.0
			Total	54,976	5.0

6.3.1.2. Common units - proportion

[Not requested]

6.3.2. Measurement error

Structure of earnings survey was conducted in the Statistics Estonia first time in 2002.

In 2002 the structure of earnings pilot survey was the first survey based on individual level survey conducted by the Statistics Estonia. The main purpose of this pilot survey was to test the questionnaire. The pilot survey was conducted from March to May covering the calendar year 2001.All these steps helped to compile the SES questionnaire and the logic tests.

In the main survey 2002, 2006 and 2010 the same problem as in the pilot survey follow-up again. From the variable “number of worked and paid days to which the gross annual earnings relate” the days of sick leave and the days not worked and not paid were not subtracted correctly by employers. At the same time the employees who have not been present the whole year the accounting of working time were not correct in lot of cases.

There are some deviations from the list of the variables in the regulation. For instance paid hours but not worked are estimated through paid days but not worked and through standard for working time in a week according to internal work procedure rules in an enterprise or statutory normal working time.

For estimation paid hours but not worked we used the following additional information or breakdowns: total number of days of annual leave of employees in October and days not worked in October but nevertheless paid and standard for working time in a week according to internal work procedure rules in enterprise or statutory normal working time in a week. Total number of hours paid during the October was calculated to the database as variable through the formula.

For estimation the total number of weeks in the year to which the gross annual earnings relate we used the following additional breakdowns: number of worked and paid days in the year to which the gross annual earnings relate, annual days of holiday leave and days not worked in the year but nevertheless paid. The numbers of weeks in the year to which the gross annual earnings relate were calculated to the database as variable through the formula.

Variables which needed the most of cases of correction were occupation code, overtime hours, days of holiday leave in October, days not worked in October but nevertheless paid, earnings paid for overtime hours, payment for days not worked in October, number of worked and paid days in the year to which the gross annual earnings relate.

The logic test also includes the relation between the gross earning in October and gross annual earnings. Through this test lot of errors were find which needed correction like variable payments for actually worked time in October (irregular bonuses were included).

Above mentioned variables were under extra priority during the checking process.

The logic test has revealed all errors of magnitude made by respondents and during the data entry by NSI staff. After contacts with respondents and corrections the logic tests were used again.

6.3.3. Non response error

Table of unit response rates broken down according to the stratification used for the first stage sampling (see below) shows that the overall response rate was 74.1% and the overall response rate except the units less than 10 employees was 84.1%.

It is assumed that in the strata where random sample was selected the distribution of any variable among responded units is the same as among non-responded units. As a matter of fact, in each stratum the set of responded units is considered as a sample available. The units in the sample selected and having no economic activity are taken into account as respondents with zero data. In the completely enumerated strata (150 and more employees) non-response is not adjusted. In the completely enumerated strata overall non-response rate was 2.8%.

In this survey the imputation method doesn’t used.

Response rates, %
NACE Rev. 2	Number of employees
NACE Rev. 2	1-9	10-19	20-49	50-149	150-249	250-499	500-999	1000 or more
5	-	-	-	-	-	-	-	-
6	-	-	-	-	-	-	-	100.0
7	-	-	-	-	-	-	-	-
8	85.7	100.0	88.9	100.0	100.0	-	-	-
9	100.0	-	-	-	-	-	-	-
10	79.3	75.0	80.0	70.6	100.0	100.0	100.0	-
11	100.0	66.7	66.7	100.0	100.0	100.0	-	-
12	-	-	-	-	-	-	-	-
13	63.2	100.0	50.0	100.0	100.0	100.0	-	100.0
14	63.9	66.7	65.0	92.3	100.0	100.0	100.0	-
15	100.0	100.0	66.7	83.3	100.0	-	-	-
16	64.7	79.2	81.1	78.3	-	100.0	100.0	-
17	80.0	66.7	50.0	75.0	-	100.0	-	-
18	46.4	83.3	75.0	40.0	100.0	100.0	-	-
19	0.0	0.0	-	100.0	100.0	100.0	100.0	-
20	50.0	100.0	80.0	75.0	100.0	100.0	100.0	-
21	66.7	50.0	100.0	100.0	-	-	-	-
22	78.6	57.1	84.6	88.9	100.0	-	-	-
23	69.6	100.0	88.9	75.0	100.0	100.0	-	-
24	100.0	100.0	100.0	33.3	-	-	-	-
25	64.3	83.3	71.1	68.8	100.0	100.0	100.0	-
26	57.1	33.3	60.0	83.3	100.0	100.0	100.0	100.0
27	83.3	66.7	66.7	83.3	100.0	50.0	100.0	100.0
28	81.8	50.0	91.7	66.7	-	100.0	-	-
29	66.7	100.0	100.0	40.0	100.0	-	100.0	100.0
30	71.4	66.7	100.0	66.7	-	-	-	-
31	60.4	66.7	64.7	81.3	100.0	100.0	-	-
32	57.9	33.3	57.1	83.3	100.0	-	-	-
33	63.3	77.8	71.4	87.5	100.0	100.0	-	-
35	73.3	83.3	77.8	80.0	100.0	100.0	100.0	100.0
36	83.3	80.0	85.7	100.0	-	100.0	-	-
37	100.0	-	100.0	100.0	-	-	-	-
38	61.5	33.3	90.0	66.7	-	100.0	-	-
39	33.3	-	-	-	-	-	-	-
41	67.7	70.0	84.9	86.4	100.0	100.0	-	-
42	68.8	75.0	95.8	83.3	100.0	100.0	100.0	-
43	65.0	78.8	80.0	90.5	-	-	100.0	-
45	62.7	76.9	84.6	76.9	50.0	100.0	-	-
46	67.2	76.3	80.9	82.8	87.5	100.0	-	-
47	68.7	74.2	69.7	74.4	100.0	100.0	100.0	100.0
49	62.8	76.6	81.3	83.3	100.0	100.0	100.0	100.0
50	100.0	0.0	66.7	100.0	100.0	-	100.0	-
51	100.0	-	66.7	100.0	-	100.0	-	-
52	77.0	85.7	80.0	81.3	100.0	100.0	100.0	-
53	85.7	100.0	33.3	66.7	-	-	100.0	100.0
55	74.1	81.8	78.6	80.0	100.0	100.0	-	-
56	66.9	68.3	76.9	53.3	100.0	100.0	100.0	-
58	55.2	100.0	70.0	100.0	100.0	100.0	-	-
59	65.5	75.0	100.0	100.0	0.0	-	-	-
60	66.7	100.0	100.0	66.7	-	-	-	100.0
61	81.8	66.7	100.0	66.7	-	100.0	100.0	100.0
62	58.5	72.7	84.6	100.0	100.0	100.0	-	-
63	60.0	100.0	100.0	100.0	-	-	-	-
64	54.8	75.0	80.0	100.0	100.0	100.0	100.0	100.0
65	-	100.0	66.7	100.0	100.0	100.0	100.0	-
66	61.1	60.0	85.7	100.0	-	-	-	-
68	75.8	82.1	84.6	62.5	-	-	-	-
69	65.2	70.0	100.0	100.0	-	-	-	-
70	69.1	100.0	62.5	100.0	-	-	-	-
71	70.1	82.6	82.4	75.0	100.0	-	-	-
72	68.8	100.0	83.3	100.0	100.0	-	-	-
73	63.8	80.0	66.7	75.0	100.0	-	-	-
74	66.3	40.0	50.0	100.0	-	-	-	-
75	40.0	50.0	-	100.0	-	-	-	-
77	73.3	100.0	75.0	66.7	100.0	-	-	-
78	64.9	66.7	41.7	75.0	100.0	100.0	100.0	100.0
79	75.0	60.0	100.0	100.0	100.0	-	-	-
80	85.7	0.0	60.0	100.0	-	100.0	100.0	100.0
81	65.0	66.7	81.3	60.0	100.0	100.0	100.0	100.0
82	60.0	85.7	87.5	75.0	100.0	100.0	-	-
84	87.5	88.0	98.1	94.6	95.5	100.0	100.0	100.0
85	76.4	92.7	96.6	96.9	100.0	100.0	-	100.0
86	81.6	82.6	100.0	95.5	100.0	100.0	100.0	100.0
87	100.0	92.9	83.3	71.4	100.0	-	-	100.0
88	88.0	100.0	91.7	100.0	-	-	-	-
90	73.9	66.7	100.0	83.3	100.0	100.0	100.0	-
91	71.6	87.5	100.0	100.0	100.0	100.0	-	-
92	66.7	100.0	66.7	66.7	100.0	-	100.0	-
93	73.5	73.9	95.7	100.0	-	-	-	-
94	72.2	81.8	94.7	0.0	-	-	-	-
95	66.7	33.3	33.3	-	-	-	-	-
96	73.9	45.5	100.0	75.0	100.0	-	-	-
97	-	-	-	-	-	-	-	-
98	-	-	-	-	-	-	-	-
Total	69.2	77.1	83.9	85.2	97.9	99.2	100.0	100.0

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

[Not requested]

6.3.4.1. Imputation - rate

[Not requested]

6.3.5. Model assumption error

The main error caused by the choice of a certain model is probably concerned with the non-response model among sampled units. The assumption is made that the distribution of non-respondents is similar to that of respondents but this assumption may not be true in some strata.

The employee’s gross monthly earnings and number of hours actually paid in the reference month are affected by unpaid absence due to sickness, no work or study leave etc. or simply because the employee joined or left the enterprise during the reference month, then the earnings and number of hours actually paid were adjusted in order to provide an estimate of the employee's earnings and number of hours actually paid for a full month. If the employee's overtime hours, overtime earnings and special payments for shift work are affected by unpaid absence, then these variables were adjusted to obtain for a full month.

The number of adjusted cases was 17.0%.

There was no need for adjustments of fiscal year to calendar year because data were asked always about calendar year independent of the accounting system of particular enterprises.

No data from administrative sources were used. All results presented are obtained based only on the survey.

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. Timeliness and punctuality

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7.1. Timeliness

The data transmission to Eurostat took place on the 27th of June 2012.

The previous data published on the 15th of June and the final data in the beginning of October 2012 at the national level i.e. the length of time between the release of data and the reference period would be 17 month.

7.1.1. Time lag - first result

[Not requested]

7.1.2. Time lag - final result

[Not requested]

7.2. Punctuality

The Statistics Estonia carried out the structure of earnings survey third time.

The sample was selected in September 2010. The information about survey was sent out in December 2010 and deadline was in the 1st of March 2011.

The number of received completed questionnaires and the information obtained that unit either had stopped economic activities, lead to the bankruptcy or had no employees was fixed on the 1st of March 2011. At that time the overall response rate was 34.0%. The completed questionnaires were received during February and March. Collected data, which were on paper visually checked and entered during March and April.

During March - June additional phone calls were made and the reminder letters were sent to non-respondents. Phone calls were made also to the respondents in order to correct possible data errors in questionnaires. At the end of June the overall response rate had increased to 70.5%.

During July - November 2011 the final phone calls were made and the reminder letters were sent to non-respondents. The data collection period stopped on the 1st of December of 2011 and the overall response rate had increased to 74.1%.

Collected data were checked at different levels.

Most of respondents filled the web-based questionnaire (e-survey) or loaded CSV files to the web-site, which formed 62.2% and at the same time formed 75.4% of all employees in the sample.

7.2.1. Punctuality - delivery and publication

[Not requested]

8. Coherence and comparability

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8.1. Comparability - geographical

Definitions of variables and classifications used in Estonia coincide with corresponding Commission Regulation no 1916/2000 and no 1738/2005 definitions and classifications, except variable gross annual earnings in the reference year. The gross annual earnings do not include the remuneration in kind. By Estonian legislation the accounting system does not include the calculations remuneration in kind per employee.

8.1.1. Asymmetry for mirror flow statistics - coefficient

[Not requested]

8.2. Comparability - over time

Compared with previous SES no any changes made in definitions, coverage and methods.

8.2.1. Length of comparable time series

[Not requested]

8.3. Coherence - cross domain

Comparison made between the variable “gross annual earnings in the reference year” expressed per employee and the variable “wages and salaries” per employee of NA.

NACE Rev.2	SES 2010	NA 2010
NACE Rev.2	Gross annual earnings in the reference year per employee, euros	wages and salaries per employee, euros
B	11 796	8 626
C	8 154	8 801
D	12 885	9 142
E	8 674	14 931
F	8 087	12 632
G	7 613	9 805
H	8 959	10 649
I	5 029	6 512
J	14 786	22 449
K	15 097	17 148
L	3 539	10 213
M	10 292	18 906
N	7 320	13 890
O	11 021	10 911
P	7 029	7 754
Q	8 597	9 234
R	6 215	7 390
S	5 934	7 981

8.4. Coherence - sub annual and annual statistics

[Not requested]

8.5. Coherence - National Accounts

[Not requested]

8.6. Coherence - internal

[Not requested]

9. Accessibility and clarity

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9.1. Dissemination format - News release

[Not requested]

9.2. Dissemination format - Publications

Statistical Office of Estonia analysed the data of SES and then the results were available on the website www.stat.ee statistical database.

The metadata and results of SES 2010 were available on the website since 2nd of October of 2012.

9.3. Dissemination format - online database

[Not requested]

9.3.1. Data tables - consultations

[Not requested]

9.4. Dissemination format - microdata access

[Not requested]

9.5. Dissemination format - other

Results will not be sent to the reporting units, but the results were sent to Eurostat.

9.6. Documentation on methodology

Statistical Office of Estonia does not find it useful to provide any more methodological documents than the ones given in this quality report.

9.7. Quality management - documentation

[Not requested]

9.7.1. Metadata completeness - rate

[Not requested]

9.7.2. Metadata - consultations

[Not requested]

10. Cost and Burden

Top

[Not requested]

11. Confidentiality

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11.1. Confidentiality - policy

[Not requested]

11.2. Confidentiality - data treatment

[Not requested]

12. Comment

Top

[Not requested]

Related metadata

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Annexes

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