Structure of earnings survey 2010 (earn_ses2010)

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

Compiling agency: State Statistical Office of Republic Macedonia 0038923295600


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

State Statistical Office of Republic Macedonia

0038923295600

1.2. Contact organisation unit

Labour Market Department

1.5. Contact mail address

Dame Gruev br.4

100 Skopje

Republic of Macedonia


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 frame

The sample frame is designed from the data of the Statistical Business register updated in September 2011, i.e. the data from the business entities: identification number, NACE section, size of the entity, activity status, number of employees and etc.

Business entities with 10 and more employees from all NACE sections are included in the frame.

 

Sample

The sample consists of 2956 enterprises, where small enterprises select 10 employees, medium 30 employees and large enterprises select 50 employees to be interviewed.

The stratification was made according to the size of the enterprise (small enterprises with 10-49 employees, medium enterprises with 50-249 employees, and large enterprises with 250 and more employees) and according the regions.

The sample was drowned in two stages.

In the first stage units of observation are enterprises with 10 and more employees (local units are excluded) and in the second stage units of observation are systematically selected from the enterprises according to the payroll.

The selection of employees is made by the following criteria: the total number of employees from the payroll in October 2010 is divided with 10, 30 or 50 according to the size of the enterprise that is interviewed. This means that if the enterprise has 40 employees than every fourth employee from the payroll is selected (40/10=4). If the enterprise has 180 employees every sixth employee from the payroll is selected (180/30=6). If the enterprise has 500 employees than every tenth employee from the payroll is selected (500/50=10)

Individual information for every employee for example sex, age, occupation and earnings (monthly and annually) are collected with the questionnaire.

Employees that are included in the sample in 2010 are those who actually received earnings during the reference month- October. The employees who did not receive earnings in the reference month should be excluded from the sample. The earnings of the employees that are included in the sample and have periods of unpaid absences in the reference month should be adjusted for the whole month. The employees whose income cannot be adjusted should be excluded from the sample.

It is very important employees from all occupations including the managers to be
selected.

The employees who have been selected in the survey are those who are employed on indefinite or definite period (have employment contract) in the enterprise which is subject of the survey and who have received earnings in the reference month, not relating to their working time (employees with full time and part time that work in the enterprises of private and other ownership).

The earrings received by the employee can be in the form of salary, including bonuses, payments for shift work, allowances and other.

The total number of enterprises that have responded is 2213, with 42930 employees

 

See also the attached document Number of units and employees in the frame and sample.



Annexes:
Number of units and employees in frame and sample
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 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

The data on the structure of earnings are used by policy makers, Government and state organs, social actors, the media, researchers and students and they are one of the basic statistical data indispensable to follow the changes on the labour market. Enterprises are still not so high interested for statistical data for their market research activities or for consultancy services but their interest is in increase.

Major foreign user of survey data is Eurostat.

5.2. Relevance - User Satisfaction

Generally, internal users are interested in the level of earnings by occupations and by different socio-demographic characteristics such as: age, sex, level of education, length of service and their impact on the situation of different occupation groups on labour market

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

coefficients of variation are calculated and shown in percentages 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.

6.2.1. Sampling error - indicators

In the tables in the attached document coefficients of variation are shown in percentages 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.



Annexes:
Coefficients of variation
6.3. Non-sampling error

Non- sampling errors are not measured

6.3.1. Coverage error

There is no difference between the reference and the study population in number of employees and according to that in size class of the enterprise

For national purposes data in activity A were collected and published.

To avoid this kind of difference post stratification is used.

Possible over-coverage and under-coverage may happen because of demography of the units: births, deaths, mergers and de-mergers of old units.

To avoid this to the possible rate, we used the latest updated version of the sampling frame, the business register of the SSO.

6.3.1.1. Over-coverage - rate

Over-coverage rate is not available.

6.3.1.2. Common units - proportion

[Not requested]

6.3.2. Measurement error

The questionnaire was made according the EU regulation. It was previously tested in May 2011. The results of this testing showed that some of the questions were too personal, so these questions like name and surname, ID number were excluded from the questionnaire.

The survey was conducted in November 2011. An information letter was sent to the business entities previously. The data were collected by interviews on field, which were previously trained for this survey. Data control was done during the survey by the staff in the regional offices, and later by the staff in the subject matter department in SSO.

Since this survey was conducted for the first time, most of the errors were found in the two variables gross annual earnings and gross earnings for the reference month. These mistakes were corrected during the data collection or in the post-data-collection processes data entry or editing.

The staff in the subject matter department in SSO made the coding of the occupations and the level of education, so minor errors were found.

6.3.3. Non response error

Unit response rate

The overall unit response rate was 74.9 % and the response rate concerning employees was 74.7 %. Response rate by activities and by size of enterprise are given in table 10.

Please see in the attached document Unit repsone rates the unit response rate broken down by sections of activities, size band of enterprise and by NUTS3.



Annexes:
Unit response rates
6.3.3.1. Unit non-response - rate

[Not requested]



Annexes:
Unit response rates
6.3.3.2. Item non-response - rate

B33=2939/42930=6.846%

6.3.4. Processing error

Processing errors in post-data-collection processes such as data entry errors were found and corrected.

6.3.4.1. Imputation - rate

No other imputation is made

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. Timeliness and punctuality Top
7.1. Timeliness

The data were published on 31 May 2012, which is 19 months after the reference period October 2010.The data were sent to EUROSTAT in August 2012.

7.1.1. Time lag - first result

[Not requested]

7.1.2. Time lag - final result

[Not requested]

7.2. Punctuality

The SES in Macedonia was conducted for the first time in November 2011. Pilot survey was conducted in May 2011 in order to test the questionnaire, which gave useful results. In October 2011 the respondent units were notified with a circular letter about being included in the sample, which was sent to them by post. The circular letter contained the general information about the survey and obligation by Law of Statistics to fill the questionnaire. The survey was conducted with interviewers on field. The period for visiting the chosen enterprises was 31.10.2011- 15.11.2011. The interviewers had a task to explain how the questionnaire should be filled in and later to check the collected data. Staff in the regional offices controlled the data and send to SSO by the end of November. In order to collect data from more medium and large enterprises the interviewers was put back on filed.

Data processing in SSO was done from January till May 2012 by the following order:

  • The data was controlled and coded by the staff from the subject matter department;
  • Data entry;
  • Data checking and editing.
  • Weighting of the data and making tables;
  • Data analysis of the results.

The final results were published on 31 May 2012.

7.2.1. Punctuality - delivery and publication

[Not requested]


8. Coherence and comparability Top
8.1. Comparability - geographical

The SES data were collected according to EU regulations with some exceptions listed below:

  • Business entities with 10 and more employees from all NACE sections are included in the survey. Section A Agriculture, forestry and fishing is included due to national needs. Local units were not included.
  • The variable 1.5 Collective pay agreement is not included in the survey because in Macedonia the units would not be able to fill in this data.
  • Wages in kind were not collected, because in Macedonia those payments in kind are not treated as wage. Enterprises also have troubles to fill in this variable, because of lack of information.

The following classifications were used: ISCO-08, NACE Rev 2 and ISCED 97. The methodology and the used definitions are according the EU regulations.

8.1.1. Asymmetry for mirror flow statistics - coefficient

[Not requested]

8.2. Comparability - over time

The survey was conducted for the first time in 2011 according the new methodology and EU regulation and due to that no time series can be made and comparability over time is not possible.

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 compensation of employees from National Accounts

 

    SES 2010 National Accounts Difference
Total
(A-O)
Total 360,751 359,895 100.25
A Agriculture, forestry and
fishing
231,895 259,759 89.27
B Mining and quarrying 389,613 402,787 96.73
C Manufacturing 255,941 283,906 90.15
D Electricity, gas, steam and
air conditioning supply
609,138 751,748 81.03
E Water supply; sewerage,
waste management and
remediation activities
320,143 328,001 97.60
F Construction 279,935 343,862 81.41
G Wholesale and retail trade;
repair of motor vehicles
and motorcycles
311,332 250,274 124.40
H Transportation and storage 375,714 337,017 111.48
I Accommodation and food
service activities
254,520 210,378 120.98
J Information and
communication
532,987 587,395 90.74
K Financial and insurance
activities
671,416 684,447 98.10
L Real estate activities 315,784 437,931 72.11
M Professional, scientific and
technical activities
475,407 398,102 119.42
N Administrative and support
service activities
247,516 314,097 78.80
O Public administration and
defense; compulsory social
security
468,935 690,455 67.92
P Education 364,382 376,540 96.77
Q Human health and social
work activities
380,345 367,745 103.43
R Arts, entertainment and
recreation
320,599 354,780 90.37
S Other service activities 455,709 199,444 228.49
T Activities of households as
employers;
undifferentiated goodsand
services-producing
activities of households for
own use
  246,636  
U Activities of extraterritorial
organizations and bodies
     

 

There are more reasons for the difference between both surveys. These are different data sources. Compensations of employees in National Accounts are defined as total amount of compensations paid out in cash or in kind from enterprise to employees for the work done during the year.

This amount includes wages and salaries, allowances added to salaries, social contributions, taxes on salaries as well as all compensations for food, transport, accommodation, vacation, etc.

Gross annual earnings in SES do not include payments in kind.

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

The data were published in May 2012 as final data, including explanations and short methodology and are available for the users on our web site. The publication for this survey is in the final phase of preparation.

9.3. Dissemination format - online database

publication in pdf

9.3.1. Data tables - consultations

[Not requested]

9.4. Dissemination format - microdata access

[Not requested]

9.5. Dissemination format - other

No results are sent to reporting units included in the sample.

9.6. Documentation on methodology

The data were published in May 2012 as final data, including explanations and short methodology and are available for the users on our web site.

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 Comment


Related metadata Top


Annexes Top