National statistical institute


Comparison between by European EseC – full and European EseC - simple



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Comparison between by European EseC – full and European EseC - simple
Employed by European ESeC and European ESeC simple



 ESeC Class

 


European ESeC

European ESeC - simple

European ESeC

European ESeC - simple

Difference

Thousands

%

In number x1000

In structure %

Large employers, higher mgrs/professionals

333.3

313.9

10.2

9.6

19.4

0.6

Lower mgrs/professionals, higher supervisory/technicians

444.8

391.1

13.7

12.0

53.7

1.7

Intermediate occupations

174.7

211.3

5.4

6.5

-36.7

-1.1

Small employers and self-employed (non-agriculture)

192.5

118.1

5.9

3.6

74.4

2.3

Small employers and self-employed (agriculture)

108.1

143.2

3.3

4.4

-35.1

-1.1

Lower supervisors and technicians

90.7

21.0

2.8

0.6

69.8

2.1

Lower sales and service

477.4

563.8

14.7

17.3

-86.4

-2.7

Lower technical

544.1

543.9

16.7

16.7

0.2

0.0

Routine

887.1

946.4

27.3

29.1

-59.3

-1.8

Total

3252.6

3252.6

100.0

100.0







The difference between of the ESeC simple and ESeC full is not very high for the majority of classes, but for some of the classes it is more considerable. As a whole 90% of employed persons belongs to the same classes and about 10% fall in different classes.

The difference is higher in following ESeC classes:



  • Lower supervisors and technicians

  • Small employers and self-employed (non-agriculture)

  • Lower sales and service

The most problematic class is Lower supervisors and technicians. The number of employed according to ESeC- full is about four times higher than according to ESeC – simple. This is a very small class, especially in ESeC – simple (only 0.65 of total employed) and especially for sample surveys this could impede the data analysis.

Small employers and self-employed (non-agriculture). The number of employed according to ESeC full is quite higher than ESeC – simple.

The testing of ESeC already carried out covers only employed person. The other categories – unemployed and inactive persons (according to their last job) will be also included in the testing on the next step. The expected problems and constrains are the following:


  • In the LFS the characteristics of last employment are available only for not-employed person who worked at last within 8 year prior to the reference year;.

  • In the LFS variables ‘supervisory responsibilities’ and ‘number of persons working at the local unit’ are not available for the previous job.

6.2. Structure of Earnings Survey

The Structure of Earnings Survey (SES) a four-yearly earnings survey conducted under the Council Regulation 530/1999 and the Commission Regulation 1916/2000 as amended by Commission regulation 1738/2005.

Goal of the survey: The Structure of Earnings Survey is aimed to give detailed and comparable at European Union level information on distribution and relationships between the level of remuneration, individual characteristics of employees and these of their employer.

Objects of the survey are: characteristics of employer (enterprise, local unit) - number of employees in the local unit, type of ownership, existence and type of collective pay agreement, size of the enterprise; individual characteristics of employees - age, sex, educational level, occupation, length of service, mode of employment (full-time/part-time), working hours per day, working days per week, type of employment contract, annual gross earnings, annual bonuses, annual payments in kind, annual days of paid holiday leave, monthly gross earnings, earnings related to overtime, earnings related to shift work, employee’s compulsory social security contributions and income tax, number of paid monthly hours, number of paid overtime hours.

Statistical units of the survey are local units and employees:


  1. Local units

SES 2006: Local units with 1 or more employees belonging to enterprises with 1 or

more employees.

SES 2002: Local units with 1 or more employees belonging to enterprises with 10 or more employees

2) Employees with earnings during October, having at least 1 working day paid by the employer at a full rate.

Economic activities covered: Mining and quarrying (C), Manufacturing (D), Electricity, gas and water supply (E), Construction (F), Wholesale and retail trade, repair of motor vehicles, motorcycles and personal and household goods (G), Hotels and restaurants (H), Transport, storage and communications (I), Financial intermediation (J), Real estate, renting and business activities (K), Public administration; compulsory social security (L), Education (M), Health and social work (N) and Other community, social and personal service activities (O).

Reference periods: The reference year is the calendar year (2002, 2006). For representative month is approved October as being the month that is least affected by absences owing to annual leave or public holidays.

Periodicity: The survey is to be carried out once per four years. The first round was launched for the reference year 2002 and the second one for 2006.

Sampling design and sampling size: The sampling procedure used for the SES contains two stages. In the first stage, a stratified random sample of local units without replacement is drawn. Stratification criteria used include:

- economic activity (at the 2-digit level of NACE Rev.1.1);

- the number of employees in the local unit :

1 to 9 employees

10 to 49 employees

50 to 249 employees

250 to 499 employees

500 to 999 employees

1000 and more employees;

- regional breakdown - level 1 of NUTS;

At the second stage, a systematic sample of employees is taken within each of the selected local units.

Sampling rates and number of records finally used


Reference year

2002

2006

Local units (LU) – sampling rate

11.5%

9,6%

Employees - planned total – sampling rate

9.7%

8,2%

Number of LU records used in calculations – appr.

2 700

11 7500

Number of employees’ records used – appr.

153 000

187 000


Application of occupational classifications (national versions and ISCO-88 (COM)) in Structure of Earnings Survey – practice and problems encountered

Occupation in the reference month is collected for each employee in the sample. Data are coded by enterprises according to National Classification of Occupations.

SES micro-data are transmitted to Eurostat coded at 3-digit level of ISCO-88 COM.

SES 2002

In the 2002 SES data were required at the 4-digit level of acting National Classification of Occupations (NCO1996), but 3-digit codes were also accepted.

Basic problem was the fact that by the time of reference year 2002 the occupational classification largely had no popularity amongst enterprises as there was no specific legal requirement (e.g. social security, tax authorities, etc.) for its application. For that reason an Annex with the National Classification of Occupations at 4-digit level was attached to the Explanatory notes for completion of the SES questionnaire. In addition, for these enterprises that had difficulty to code the occupations of their employees a possibility for word description was given in the questionnaire and coding was completed later by regional offices of NSI.

Coding to ISCO-88 (COM): a conversion table from the NCO-1996 to ISCO-88 (COM) was used. Generally, there were no serious problems in recoding of data as both classifications are consistent at 3 digit level.

SES 2006

In 2006 a new version of national occupational classification came into force. The 2006 was given as a transition period for the enterprises to move to the revised classification. Therefore in the SES questionnaire was given possibility to be used either 4-digit codes of NCO-1996 (for all employees’ records provided by a local unit) or 8-digit codes of the new NCOD–2005 (for all employees’ records provided by a local unit). The mixed use of both classifications by one local unit was not accepted. Similarly to the SES 2002, for these enterprises that had difficulty to code the occupations of their employees a possibility for word description was given in the questionnaire and coding was completed later by regional offices of NSI.



Problems in application of the NCO: The main problem came from the change of the NCO in the reference year. Approximately 16 900 employees’ records (10%) were coded by the NCO– 1996 and needed to be recoded to NCOD-2005. Recoding was performed by means of conversion table at 4 digit level of both classifications. Nearly 1200 records could not be directly recoded because there are 43 unit groups from NCO-1996 that have 2 or more corresponding 4-digit codes in NCOD-2005 or do not have any correspondence (only 2 unit groups). This obstacle was overcome by use of description of the occupation, where available, and by use of additional information based on the economic activity of the local unit and occupational structure of the other similar businesses.

Coding to ISCO-88 (COM): a conversion table from the NCOD-2005 to ISCO-88 (COM) was used. There were no serious problems in recoding of data as both classifications are to a large extent consistent at 3 digit level. From the available variety of occupations we could not find correspondence only to one minor group from the NCOD-2005: 745 “Other craft and related trades workers, not classified elsewhere”. Therefore these records were coded at 2-digit code of ISCO-88 (COM) sub major group 74 “Other craft and related trades workers”. (In the SES data set code ‘740’ is inserted).

The national minor groups 112 ‘Senior Government Officials’ and 113 ‘Mayors and local government senior officials’ were recoded to ISCO-88 (COM) minor group 111 ‘Legislators and senior government officials’ after reference to the definitional notes in the ISCO-88 (COM) Guide for Users (p.14): http://www2.warwick.ac.uk/fac/soc/ier/research/isco88/ .


Applicability of the ESeC to the SES datasets

Information about occupation coded to minor group level of ISCO-88 (COM): Data from the 2002 and 2006 Structure of Earnings Surveys give possibility to obtain occupational codes of employees at 3-digit level of ISCO-88 (COM) .

Information about employment status of individualsemployer, self-employed or employee: Only employees working under employment contract are covered in SES as required in EC Regulations N1916/2000 and N1738/2005 (Annex II, Paragraph 2)

Excluded are the following categories: employees working under service contract; employees working without any contractual agreement; employers; self-employed; voluntary workers.

Supervisory status: Information on ‘Managerial or supervisory position’ (SES Variable 2.4) is not collected in Bulgarian SES questionnaire. This variable is optional in both implementation regulations N1916/2000 and N1738/2005 and therefore not covered in order to reduce the respondent’s burden.

Size of enterprise: In the 2006 round of SES coverage was extended to the enterprises with 1 and more employees. This makes possible to distinguish between small (with less then 10 employees) and large organizations (with 10+ employees). Although variable ‘size of enterprise’ is available it could not be considered for purposes of ECeC as employers are not in scope of SES.

Derivation of ESeC categories from the SES datasets

The SES represents a case in which information on occupation at minor group level of ISCO is available, it is not known that all individuals are employees but there is no information on supervisory status. As a result only one column of the ESeC table could be completed. ESeC classes applied are those assigned to the category “Other employees”. In fact ESeC classes in category ‘Other employees “ are almost identical with the codes from the simplified class column ‘ess sc’ with only few exceptions:





Code

Description

emp

ess sc

131

Managers of small enterprises

2

4

611

Market gardeners and crop growers

8

5

612

Animal producers and related workers

8

5

613

Crop and animal producers

8

5

911

Street vendors and related workers

7

4

The classes suggested in the simplified column relate exclusively to the self-employed who are out of scope in the SES. Therefore the classes assigned to the category “Other employees” are taken as more appropriate.

The derived ESeC matrix could be seen in Annex 2 to this report. The table contains figures on absolute and relative frequency of each occupational group, for the 2002 and 2006 SES datasets.

As it was already mentioned above, we could not find correspondence only to one minor group from the NCOD-2005: 745 “Other craft and related trades workers, not classified elsewhere”. These records were coded with ‘740’ and are classified under sub major group ISCO-88 (COM) 74 “Other craft and related trades workers”. The number of employees classified under this group is 6 940 and represents relatively small share (0.3%) in the total number of employees.

In the table below is presented the distribution of employees by ESeC classes in the 2002 and 2006 SES datasets. The highest share has class 9 ‘Routine occupations’ and class 6 ‘Lower supervisory and lower technician occupations’ is least represented. The structure of the EseC classes remain relatively stable between the two rounds of the survey. More significant changes are observed in class 2 – its share decreases from 19.39% in 2002 to 14.85% in 2006. Reversely, the share class 7 increases from 11.86% in 2002 to 17.03% in 2006. It is mainly due to extension of the coverage to the enterprises with 1 and more employees. Inclusion of the small units has its influence on the occupational structure as a whole.



Distribution by ESeC classes in the 2002 and 2006 SES datasets


Notes: * In the SES 2002 are covered only enterprises with 10 and more employees.

** In the SES 2006 are covered all enterprises with 1 and more employees.

Quality of the information on occupational codes in SES

The possibility to control the quality of the collected information on occupational codes of employees in SES is limited as in the common situation the process of coding is done by enterprises. Exceptions occur when respondents provided written description of the occupation which enables later the coding to be done by regional offices of NSI. Therefore misclassification of occupations might be either respondents’ error or error of NSI’s staff.

Two basic checks of quality of occupational codes are performed:

Global checks: the data entry program checks for non-existing occupational codes that do not belong to the acting National Classification of Occupations.

Plausibility checks are applied at micro and macro level to ensure the consistency of the information on occupations with the other SES variables: economic activity and sector (public/private) of the organization; level of employee’s monthly and annual earnings, educational level of the employee, etc.
6.3. Comparison between data from the Labour Force Survey and Structure of Earning Survey

For the purpose of comparison only data of employees with labour contract are used from the Labour force survey.



Employees with employment contract according to Labour force survey and Structure of earning survey


 

LFS

SES

LFS

SES

Difference

 

Thousands

%

In number x1000

In structure %

Large employers, higher mgrs/professionals

276.4

219.8

10.1

9.6

56.6

0.5

Lower mgrs/professionals, higher supervisory/technicians

426.0

340.5

15.6

14.9

85.5

0.7

Intermediate occupations

167.5

216.0

6.1

9.4

-48.5

-3.3

Lower supervisors and technicians

89.1

14.2

3.3

0.6

74.9

2.6

Lower sales and service

452.8

390.5

16.6

17.0

62.3

-0.5

Lower technical

497.0

350.0

18.2

15.3

146.9

2.9

Routine

826.2

762.6

30.2

33.3

63.5

-3.0

Total

2734.9

2293.7

100.0

100.0

441.2

0.0

The differences are acceptable, taking in mind some differences in the methodology and coverage of the two surveys.


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