Structure of earnings survey 2010 (earn_ses2010)

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

Compiling agency: Statistics Sweden


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)
 



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1. Contact Top
1.1. Contact organisation

Statistics Sweden

1.2. Contact organisation unit

Economic Statistics Department

Salaries and Labour Cost

1.5. Contact mail address


2. Statistical presentation Top
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 Top
3.1. Source data

Sampling

The sampling procedure consists of two stages. First, a stratified random sample of enterprises is drawn from a frame including the private sector. Each stratum is set up by combining size class and economic activity of the enterprise. The public sector (government authorities, municipalities and county councils) is fully covered in the sample. Second, a simple random sample of employees is drawn from the enterprises, authorities, municipalities and county councils drawn in the first stage.

3.2. Frequency of data collection

[Not requested]

3.3. Data collection

The main part of the data concerning the private sector was collected in a yearly earnings survey and a separate survey concerning annual bonuses. These data was collected by using a questionnaire. The yearly earnings survey has been carried out since 1997 and is well established both among users and respondents. The results from the survey are of high importance for the users and the questionnaire has been evaluated and improved during the years. The bonus survey has been carried out since 2002 and some minor changes have been done in purpose to improve the questionnaire.

3.4. Data validation

[Not requested]

3.5. Data compilation

[Not requested]

3.6. Adjustment

[Not requested]


4. Quality management Top
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 Top
5.1. Relevance - User Needs

Main users of the results are the National Mediation Office, media, researchers, EU institutions, Statistics Sweden and other national statistical offices.

The needs vary between different users. The main part of the Structure of Earnings Survey (SES) 2010 comes from yearly surveys on earnings. The surveys are constructed with consideration for the needs of the users and are well established in Sweden both in terms of using the results and reporting requested data to Statistics Sweden. These yearly surveys on earnings are based on enterprises, not on local units.

Information about the mandatory variables ‘Collective pay agreement’,’Type of employment contract’, and ‘Annual days of holiday leave’ are not provided. Data on these variables is not collected in the yearly surveys on earnings and is not to be found in other sources.

5.2. Relevance - User Satisfaction

The needs vary between different users. The main part of the Structure of Earnings Survey (SES) 2010 comes from yearly surveys on earnings. The surveys are constructed with consideration for the needs of the users and are well established in Sweden both in terms of using the results and reporting requested data to Statistics Sweden. These yearly surveys on earnings are based on enterprises, not on local units.

5.3. Completeness

[Not requested]

5.3.1. Data completeness - rate

[Not requested]


6. Accuracy and reliability Top

-

6.1. Accuracy - overall

[Not requested]

6.2. Sampling error

The sampling procedurs consists of two stages. First, a stratified random sample of enterprises is drawn from a frame including the private sector. Each stratum is set up by combining size class and economic activity of the enterprise. The public sector (government authorities, municipalities and county councils) is fully covered in the sample. Second, a simple random sample of employees is drawn in the first stage.

6.2.1. Sampling error - indicators

The coefficients of variation concerning ‘Gross earnings in the reference month’ and ‘Average gross hourly earnings in the reference month’ are presented in the attached document Coefficients of variation.

When calculating coefficients of variation the SAS-program CLAN is used to extract the point- and standard error estimates. The program takes into account both survey design and non-response.



Annexes:
Coefficients of variation
6.3. Non-sampling error

The sample from the private sector was drawn from the Business register at Statistics Sweden in Auguts 2010. The frame is expected to well reflect the target population, since the reference month surveyed is September 2010. Even though the frame is set up close in time to the reference month problems with under- and overcoverage may arise, since updates concerning information in the Business register sometimes takes time. An analysis on the rates of undercoverage has not been done. The overall rate of overcoverage is 1.1 percent. An enterprise is considered as overcoverage if it did not exist in practice.

6.3.1. Coverage error

The sample from the private sector was drawn from the Business register at Statistics Sweden in August 2010. The frame is expected to well reflect the target population, since the reference month surveyed is September 2010. Even though the frame is set up close in time to the reference month problems with under- and overcoverage may arise, since updates concerning information in the Business register sometimes takes time. An analysis on the rates of undercoverage has not been done.

6.3.1.1. Over-coverage - rate

The overall rate of overcoverage is 1,1 percent. An enterprise is considered as overcoverage if it did not exist in practice.

6.3.1.2. Common units - proportion

[Not requested]

6.3.2. Measurement error

Besides the questionnaire, all respondents receive guidance with explanations to all questions in the questionnaire. To further help the respondents, the guidance includes FAQs and contact information.

All data has been validated both on micro and macro level. In the validation process, different kinds of logical tests were carried out. In the yearly earnings survey these tests have been evaluated during the years, and are now considered to reveal most errors in the data. The method for validation of the data from the annual bonuses survey has been changed due to analysis of previous data. In both surveys, respondents were contacted in order to validate errors and collect correct data.

The project to develop a new updated version of the Swedish occupational classification SSYK-96 adapted to ISCO-08 was not fully completed at the time when SES was produced. Because of that some occupations may have been coded incorrectly. Since the classifikation is only on the two-digit level, we estimate that potential misclassifications are relatively few.

The municipalities are coded with their main economic activity even if they have more economic activities. They can’t be dissaggregated whith NACE because the data are not based on local units. Some municipalities are coded as P and some as Q even if the sections P and Q are both fairly large in the municipalities.

The variable “Length of service in enterprise” is obtained from a register which extends only back to 1989. Because of this, the maximum value of this variable is 21. For some employees, the figure may be higher.

Other possible sources of errors may be information in administrative registers, at Statistics Sweden or other agencies, which are used in the survey. This may have an impact on for example level of education, gross annual earnings and number of weeks to which the gross annual earnings relate.

Measurement errors have not been evaluated further and it is difficult to estimate the impact they may have on the results of the survey.

6.3.3. Non response error

Different actions have been taken to reduce the unit non-response rate. First, a reminder by mail. Second, non-respondents were reminded by phone calls. Third, for certain large enterprises, a request of fine was used.

 

The overall non-weighted response rate was 82.1 percent, including 1.1 percent overcoverage. The following table shows the unit response rates, by NACE section and size class.

 

Response rate (percent), by NACE section and size class of enterprise

NACE 10-49
employees
50-249
employees
250-499
employees
500-999
employees
1000 or more employees Total

Total

77 85 97 100 100 82
B

66

88 100   100 70
C 75 89 99 100 98 84
D 88 97 100 100 100 96
E 71 93 100 100 100 82
F 69 74 85 100 100 73
G 77 78 95 100 100 82
H 70 84 96 100 100 80
I 56 79 100 100 100 64
J 74 84 94 100 100 81
K 83 91 100 100 100 89
L 79 96 100 100 100 88
M 78 85 100 100 100 81
N 67 73 93 100 100 74
P 80 86 100 100 100 84
Q 73 83 91 100 100 82
R 72 85 100 100 100 77
S 93 95 100 100 100 94
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

The project to develop a new updated version of the Swedish occupational classification SSYK-96 adapted to ISCO-08 was not fully completed at the time when SES was produced. Because of that some occupations may have been coded incorrectly. Since the classifikation is only on the two-digit level, we estimate that potential misclassifications are relatively few.

6.3.4.1. Imputation - rate

No information.

6.3.5. Model assumption error

No adjustment from fiscal year to calendar year is done. The main part of data on earnings related to the reference year is collected from administrative registers at the Swedish Tax Agency and refers to the calendar year.

 

NACE sections B to S is covered for enterprises, organizations and authoritys with 10 or more employees. Employees surveyed in the enterprises are between 18 and 64 years of age.

 

Some variables in the SES are collected from administrative registers. In table A, the variables “Size of enterprise to which the local unit belongs”, “Economic activity” and “Economic and financial control” are collected from administrative registers. In table B, the variables “Highest completed level of education and training”, “Length of service in enterprise”, “Citizenship”, “Number of weeks to which the gross annual earnings relate”, “Gross annual earnings in the reference year” and “Annual payments in kind” are collected from administrative registers. To link collected data for an individual or an enterprise with data from registers, identity numbers of the individuals or enterprises is used. Registers may have undercoverage which is considered as item non-response in the SES.

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 Top
7.1. Timeliness

The Swedish Structure of Earnings data for the reference year 2010 was delivered to Eurostat in February 2012.

7.1.1. Time lag - first result

[Not requested]

7.1.2. Time lag - final result

[Not requested]

7.2. Punctuality

The public sector

The collection of data in the yearly survey of the public sector is carried out in corporation with the Swedish Agency for Government Employers (SAGE) and the Swedish Association of Local Authorities and Regions (SALAR).

SAGE collects data on individuals from all government authorities with September as reference month. SALAR collects data on individuals from all municipalities and county councils with November as reference month.

After processing and editing the data is transmitted to Statistics Sweden.

 

The private sector

A stratified random sample of enterprises is drawn from the private sector. Both the yearly earnings survey for the private sector and the survey on annual bonuses use the same sample. The frame was set up and the sample was drawn in August 2010.

 

The yearly earnings survey

The reference month is September and information about the survey was sent out in advance to the sampled enterprises in August 2010. The questionnaire was sent out by the end of September 2010. The respondents had approximately three weeks to send in the requested data. Scanning, coding and validation of the data started as soon as any questionnaires were answered. The data collection was stopped in March 2011.

 

The survey on annual bonuses

Since annual premiums related to profit sharing depend on the results of the enterprise, it was important to let the respondents finalize the balancing of their accounts. This is often done in the first months of the year. Therefore, the questionnaire was sent out in April 2011, and the respondents were given three weeks to answer. Scanning, coding and validation of the data started as soon as any questionnaires were answered. The data collection was stopped in August 2011.

7.2.1. Punctuality - delivery and publication

[Not requested]


8. Coherence and comparability Top
8.1. Comparability - geographical

According to regulations regarding the SES, local units shall be surveyed. Due to problems related to the survey design the Swedish SES collect data on enterprises and not their local units. However, all local units in each enterprise are surveyed. This may have an impact on the results in two general ways. First, data broken down by region might be incorrect. Second, data broken down by NACE might be affected, since local units within an enterprise may belong to a different economic activity than the enterprise. These problems were analyzed when carrying out the Labour Cost Survey 2000 and the analyses indicated that the problem was minimal.

The Swedish Structure of Earnings Survey only includes employees in the age of 18 to 64 years. The age of the employee is set in the reference month.

8.1.1. Asymmetry for mirror flow statistics - coefficient

[Not requested]

8.2. Comparability - over time

Statistics Sweden has carried out the SES four times; for the reference years of 1995, 2002, 2006 and 2010. The survey design was rather different in 1995, surveying only a portion of employees in the sampled enterprises. In 2002 information from two surveys was used in combination with data from different administrative registers. The survey 2006 was extended to include the public sector.

Comparisons between the surveys should be done with caution, since the survey design has changed since 1995.

8.2.1. Length of comparable time series

[Not requested]

8.3. Coherence - cross domain

In the table below, the SES variable “gross annual earnings” is compared to "wages and salaries" of the National Accounts (NA) for the private sector. Significant differences between the sources is that sampled units in SES had 10 or more employees whereas the NA data also includes smaller firms and estimates for moonlighting.

 

Comparisons between SES and NA concerning annual earnings per employee by NACE, private sector 2010

  Average annual earnings (SEK)
NACE SES NA

Total

313 300 328 700
B 406 600 374 700
C 353 800 356 400
D 420 200 436 900
E 336 800 290 300
F 323 900 353 400
G 291 100 323 700
H 284 500 312 400
I 158 100 221 900
J 431 100 431 800
K 466 900 438 500
L 345 600 327 800
M 405 700 365 000
N 206 000 243 600
P 238 000 239 900
Q 223 300 316 700
R 220 600 197 100
S 286 600 358 000
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 Top
9.1. Dissemination format - News release

[Not requested]

9.2. Dissemination format - Publications

Statistics Sweden does not publish results from the Structure of Earnings Survey.

9.3. Dissemination format - online database

Statistics Sweden does not publish results from the Structure of Earnings Survey.

9.3.1. Data tables - consultations

[Not requested]

9.4. Dissemination format - microdata access

[Not requested]

9.5. Dissemination format - other

No results from the survey have been sent to the reporting units.

9.6. Documentation on methodology

There are no documents available in English.

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 Top
11.1. Confidentiality - policy

[Not requested]

11.2. Confidentiality - data treatment

[Not requested]


12. Comment Top

No further comments.


Related metadata Top


Annexes Top