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Study: SES 2002

Titles

Title Structure of Earnings Survey - 2002
Subtitle SES - 2002

Abstract

The Structure of Earnigns Survey is a 4-yearly survey conducted by the National Statistical Institutes (NSI). The survey aims at providing harmonized information on the level and structure of remuneration of employees, their individual characteristics and the enterprise or local unit to which they belong.

Coverage

Geographical Coverage

The European Union Structure of Earnings Survey (SES) 2002 is conducted in 22 Member States of the European Union : BE-BG-CY-CZ-EE-EL-ES-FI-FR-HU-IT-LT-LU-LV-NL-NO-PL-PT-RO-SE-SK-UK.

The statistics of the 2002 SES refers to enterprises with at least 10 employees in the areas of economic activity defined by sections C-K of NACE Rev.12. The inclusion of sections L–O is optional for 2002, as is the inclusion of enterprises with fewer than 10 employees.

Time Period Covered

-

References

Structure of earnings survey 2002 - Eurostat’s arrangements for implementing the Council Regulation 530/1999 and the Commission Regulation 1916/2000 (Eurostat, the statistical office of the European Union)

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Structure of Earnings Survey 2002 - Quality Report (Eurostat, Unit F2 - May 2006)

_x005F_x000D_/n

 

Country Specific Information: SES 2002

  • CZ - Czech Republic

    National Reference

    Corresponding National Study

    Czech Statistical Office

    Producer

    Structure of Earnings Survey

    Universe

    The framework population of the non-business sphere consists of ESs taken from the RARIS with 10 or more employees, where covered are institutional sectors of non-financial enterprises, financial institutions and also governmental institutions, which pay their employees according to the Act No. 143/1992 Coll.


    The framework population of the business sphere consists of ESs taken from the BR with 10 or more employees, where covered are institutional sectors of non-financial enterprises, financial institutions and also some branches of governmental institutions (NACE 8030 – Higher education; NACE 7530 – Compulsory social security activities; NACE 7512 - Regulation of the activities of agencies that provide health care, education, cultural services and other social services, excluding social security; NACE 7513 - Regulation of and contribution to more efficient operation of business; NACE 6523 - Other financial intermediation n. e. c.), which pay their employees according to the Act No. 1/1992 Coll.

     

    The framework population of the business sphere consists of ESs taken from the BR with 10 or more employees, where covered are institutional sectors of non-financial enterprises, financial institutions and also some branches of governmental institutions (NACE 8030 – Higher education; NACE 7530 – Compulsory social security activities; NACE 7512 - Regulation of the activities of agencies that provide health care, education, cultural services and other social services, excluding social security; NACE 7513 - Regulation of and contribution to more efficient operation of business; NACE 6523 - Other financial intermediation n. e. c.), which pay their employees according to the Act No. 1/1992 Coll.

    Together, the framework populations of both non-business and business spheres make up the framework population for the ISPV sampling. This population is stratified by:

    -       distinction between non-business and business sphere mentioned above

    -       region (NUTS)

    -       size class

    -       industry (NACE)

    Available Data

    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    the CZSO Business Register (BR) and the Automatic state budget information system (RARIS)

    Sampling Design

    • stratified
    • one stage

    Sampling Method

    The sample procedure of the ISPV can be characterised as a one-way stratified sampling. The framework population is the CZSO Business Register (BR) and the Automatic state budget information system (RARIS).

    Units

    • Organisation

    Data Collection

    Start Date

    12-2002

    End Date

    02-2003

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Weighting

    Notes

    -

    References

  • CY - Cyprus

    National Reference

    Corresponding National Study

    The Structure of earnings Survey

    Producer

    the Statistical Service of Cyprus (CYSTAT)

    Universe

    The SES covered enterprises in all economic activities, excluding Agriculture, Fishing, Activities of Private Households and Extraterritorial
    Organisations. All enterprises covered had one or more employees.

    The classification of the economic activities was based on the NACE
    Rev.1.1 Classification of Economic Activities System, of the European Union.

     

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Enterprises

    Secondary Sampling Units

    Employees

    Stratification Criteria

    In the first stage, a stratified sample of enterprises was drawn, using the probability proportional to size sampling design. Stratification criteria used were the economic activity of the enterprise (at the 2-digit level of NACE Rev.1.1), the size of the enterprise (number of employees) and the legal entity of the enterprise.

    For the second stage, a stratified random sample of employees was drawn within each selected enterprise. The stratification criteria for employees were the occupation (ISCO 88 Com at the 4-digit level), full-timer or part-timer and wage earner or salary earner.

    Sampling Method

    The SES 2006 was based on a sample of employees drawn from a stratified sample of enterprises. The sampling procedure consisted of two stages

    Units

    • Individual
    • Organisation

    Data Collection

    Start Date

    -

    End Date

    -

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Weighting

    Notes

    -

    References

  • LV - Latvia

    National Reference

    Corresponding National Study

    Structure of Earnings Survey

    Producer

    Central Statistical Bureau of Latvia (CSB)

    Sampling Procedure

    Sampling Design

    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Enterprises

    Secondary Sampling Units

    Employees

    Sampling Method

    The CSB statistical business register holds information on all enterprises that are registered in the administrative Enterprise Register of Latvia. In the sampling frame only economically active enterprises from the business register are included.

    The sample for the Structure of earnings survey is formed as stratified two-stage random sample. Enterprises are primary sampling units. Employees are secondary sampling units.

    The sample was the same also for the quarterly labour cost survey.

     

    Sampling plan for the first stage

    The enterprises are stratified according to the six size groups of enterprises, classification into NACE code groups and their location into 33 administrative territories of Latvia (Riga, 6 cites and 26 administrative districts).

    All enterprises are divided into six groups:

    54.2 % of all enterprises are included in the first group. This group contains enterprises with at least 50 employees and enterprises where the turnover in the preceding year had been at least 300 000 LVL. The wholesale trade enterprises where the turnover in the preceding year was at least 500 000 LVL or where the number of employees was not less than 20. All enterprises operating within the special free zones or within the zones of free ports;

    Enterprises where the turnover in the preceding year was below 300 000 LVL and the number of employees ranged from 20 to 49 person. 9.0 % of all enterprises are included in the second group;

    Enterprises where the turnover which in the preceding year was below 300 000 LVL and the number of employees ranged from 10 to 19 persons. 11.3 % of all enterprises are included in the third group;

    Enterprises where the turnover in the preceding year was below 300 000 LVL and the number of employees ranged from 1 to 9. 22.5% of all enterprises are included in the fourth group;

    Wholesale trade enterprises where the turnover in the preceding year was below 500 000 LVL and where the number of employees ranged from 10 to 19 persons. 1.1% of all enterprises are included in the fifth group;

    Wholesale trade enterprises where the turnover in the preceding year was below 500 000 LVL and where the number of employees ranged from 1 to 9 persons. 2.0% of all enterprises are included in the sixth group.

    The enterprises located in capital city Riga are classified by NACE code groups according requirements of EU Regulation No.1165/98. The enterprises located in others territories are classified by NACE code groups on a two-digits level.

     

    Sampling plan for the second stage

    At the second stage the employees are selected from the enterprises selected at the first stage with the following sampling rate: if the number of employees in the enterprise ranged from 1-50, information had to be rendered on all employees, in case of 51-69 employees – on 50 employees, in case of 70-249 – on 60, in case of 250-499 – on 80, in case of 500-999 – on 90, in case of 1000 and over – on 8% of the total number of employees in the enterprise as of 31 October 2002. In case it was more convenient, enterprises could give information on all employees.

     

    Units

    • Individual

    Data Collection

    Start Date

    12-2002

    End Date

    02-2003

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % Self-administered

    Percentage Of Proxy Interviews

    No %

    Weighting

    Weighting: Method

    For the calculation of the sample weights the first step is to determine the inclusion probabilities of the employees in the sample . The design weights are inversely proportional to the inclusion probability.

    In Earning survey are selected by a two stage stratified random sampling procedure. In each stratum primary sampling units are selected using simple random sampling procedure. At the second stage the random sampling of employees is made within each selected enterprise.
    Accordingly, for each stratum i the inclusion probability of i-th employee in i-th primary sampling unit is

    ni – the total number of respondents enterprises in i-th PSU in the first sampling stage ;
    Ni – the total number of enterprises in stratum i in the first sampling stage;
    ki – the number of employees in sample from selected enterprise;
    Ki – the total number of employees in enterprise in the second sampling stage.

    The design weights are adjusted according non-response in each stratum.
    In preparing the micro data base the following additional procedures were done:
    - in cases where the employee’s earnings in October were calculated at a reduced rates (sick leave certificate A), the employees were excluded from the sample and the weights were re-calculated so that they reflect the exclusion of such employees from the sample;
    - in some cases where the employee’s had worked during the year or October less than one month, they were excluded from the sample and the weights were re-calculated so that they reflect the exclusion of such employees from the sample;
    - in cases where the employee’s earnings are affected by unpaid absence in October including the cases when the employee joined the enterprise during October, the October earnings and hours worked were adjusted in order to provide an estimate of the employee’s earnings for a full months.
    The sample of the survey was made at the end of year 2001. The lag between the time of sampling frame construction and the time when the questionnaires are filled in was 12 months. This is the main reason of coverage errors in the survey.
    The enterprises which did not exist in October 2002 (dead enterprises) were excluded from the sample, as they had no employees in October 2002. Weights were calculated using updated frame in February 2003. So the influence of the coverage errors was reduced.

    Notes

    -

    References

  • LU - Luxembourg

    National Reference

    Corresponding National Study

    Enquête sur la structure des salaires (Structure of Earnings Survey)

    Producer

    STATEC (Institut national de la statistique et des études économiques du Grand-Duché du Luxembourg)

    Universe

    The Structure of Earnings Surveys of 1995, 2002, and 2006 cover the sections C to K of the NACE rev.1 classification and with at least 10 employees

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    The entreprise register

    Sampling Design

    • stratified
    • multi-stage

    Primary Sampling Units

    Local Unit

    Secondary Sampling Units

    Employees

    Sampling Method

    The Structure of Earnings Surveys of 1995, 2002, and 2006 rely on a two-stage sample design. In a first stage a sample of local units is drawn, and in a second stage, the salaried workers are sampled within these local units. In 1995 and 2002, the local units were asked in the second stage to draw themselves a representative sample of their workers, the size of this sample being fixed by STATEC.

    Units

    • Individual
    • Organisation

    Data Collection

    Start Date

    09-2003

    End Date

    02-2004

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % Self-administered

    Weighting

    Notes

    -

    References

  • LT - Lithuania

    National Reference

    Corresponding National Study

    Structure of Earnings Survey

    Producer

    Statistics Lithuania

    Universe

     The survey covers local units (enterprises) representing economic activities to be surveyed. 

    All economic activities, except for agriculture, forestry and fishing, (sections B–S of NACE Rev. 2) are covered.

    Sampling Procedure

    Sampling Design

    • stratified
    • multi-stage

    Primary Sampling Units

    Local Unit

    Secondary Sampling Units

    Individuals

    Sampling Method

    A two-stage cluster sample is used. The first stage sampling units are local units (enterprises). The second stage sampling units are employees of the local units (enterprises). A sample of employees is selected by enterprises.


    The first stage sample size must be such that the coefficient of variation of the estimate of the number of employees in the whole economy and economic activities does not exceed 3 per cent.

     

    The second stage sample size is determined taking into consideration the size of local units (enterprises) and so that the sample size in different enterprise size groups be approximately equal.

    Units

    • Individual
    • Organisation

    Data Collection

    Date of Data Collection

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % Self-administered

    Weighting

    Notes

    -

    References

  • SE - Sweden

    National Reference

    Corresponding National Study

    Structure of Earnings Surveys (ESS) - 2002

    Producer

    Statiskal Centrabyran (Statistics Sweden)

    Universe

     Units with 10 or more employees and an economic activity within NACE sections C to K. 

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    Business register at Statistics Sweden

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Enterprises

    Stratification Criteria

    Each stratum was set up by combining size class and economic activity of the enterprise.

    Sampling Method

    Stratified simple random sampling with Neyman allocation was used. 

    Units

    • Individual
    • Organisation

    Data Collection

    Start Date

    09-2002

    End Date

    09-2003

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Weighting

    Notes

    -

    References

  • SK - Slovakia

    National Reference

    Corresponding National Study

    Structure of Earnings Survey

    Producer

    the Statistical Office of the Slovak Republic

    Universe

    Population consisted of all legal subjects with one and more employees, registered in the Business Register, which were recorded in the Registers of organizations and establishments kept by the Statistical Office of the Slovak Republic. The set covers profit and non-profit organizations (incl. enterprises) in all economic branches of the Slovak Republic.

    Sampling Procedure

    Sampling Design

    • random
    • stratified

    Sampling Method

    The sample was created by using of the statistical method of a random sample within stratum with the estimated number of inactive units. The source for data processing was the register of active and inactive reporting units.


    The first subset of the sample included reporting units which provided data required in the Structure of Earnings Survey and the Labour Cost Survey in the previous year. With the aim to get convenient sample scope and proportionality the second subset was made on the basis of three stratifying attributes as follows: economic activity, regions and size class.

    Units

    Data Collection

    Start Date

    01-2003

    End Date

    04-2003

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % Self-administered

    Weighting

    Notes

    -

    References

  • RO - Romania

    National Reference

    Corresponding National Study

    Structure of Earnings Survey

    Producer

    National Institute of Statistics Romania

    Universe

    Firms of at least 10 employees 

    NACE Rev.1.1 - all sections A-O (coded at division level 01-93), including the sections A, B (not requested by the regulation) and section L (optional according to the regulation)

    Sampling Procedure

    Source Of Sampling Frame

    Romanian Business Register

    Sampling Design

    • multi-stage

    Units

    • Individual
    • Organisation

    Data Collection

    Start Date

    03-2003

    End Date

    04-2003

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Interview Mode

    • 10 % CAPI
    • 90 % PAPI

    Weighting

    Notes

    -

    References

  • UK - Great Britain

    National Reference

    Corresponding National Study

    the New Earnings Survey (NES)

    Producer

    Office for National Statistics

    Universe

    The ASHE covers employee jobs across the whole of the UK. The survey covers employees from all industries and occupations, but does not cover the self employed or the armed forces.

    Available Data

    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    UK PAYE (Pay As You Earn) tax registe

    Sampling Design

    • Probability
    • random
    • one stage

    Sampling Method

    ASHE is based on a 1% sample of employee jobs from the UK PAYE (Pay As You Earn) tax register held by HM Revenue and Customs. All employees with National Insurance numbers ending in a particular pair of digits are selected and questionnaires are sent to their employers. This method gives a random 1% sample of the frame population to be selected, across businesses in all industries and of all sizes. Since National Insurance numbers are allocated randomly to individuals, the basis of ASHE sampling is probability sampling. However, the same pair of digits for National Insurance numbers is chosen each year to allow continuity in the data and enable comparisons of earnings year on year. ASHE does not cover the self-employed nor does it cover employees not paid during the reference period.

    Units

    • Individual
    • Organisation

    Data Collection

    Start Date

    04-2003

    End Date

    08-2003

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Weighting

    Weighting: Method

    Returned data are weighted to UK population totals from the Labour Force Survey (LFS) based on classes defined by occupation, region, age and sex. There are two processes involved in the weighting of responses for ASHE. The first allocates individual cases a design weight to adjust for non-response. For this purpose, responses are treated as being in one of four strata, depending on whether they were part of the original questionnaire despatch, one of the later supplementary surveys or have a special arrangement in place with ONS to return their data electronically. For the second part of the weighting, the final file of responses is post-stratified to population estimates taken from the LFS in 108 post-strata. These post-strata are defined as a cross-classification of:
    • occupation (9 groups) - major groups from Standard Occupational Classification (SOC);
    • age-band (3 groups) - 16-21, 22-49, 50+;
    • gender (2 groups) - male and female; and
    • region (2 groups) - London & South East and the rest of the UK.

    Notes

    The data for the UK Structure of Earnings Survey is taken from the Annual Survey of Hours and Earnings (ASHE). This is considered to be the official source of earnings data within the UK.

    References

    methodology and guidance (Office for National Statistics, ONS) 

    Annual Survey of Hours and Earning, 1997-2013 (UK Data Service)
     

  • IT - Italy

    National Reference

    Corresponding National Study

    Structure of earnings survey (SES) 2002

    Producer

    L'Istituto nazionale di statistica (ISTAT) : Italian National Institute of Statistics

    Universe

    The statistics of the SES refer to enterprises with at least 10 employees in the areas of economic activity defined by sections C-K of NACE Rev.1.1.

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    ASIA ( Archivio Statistico delle Imprese) with reference period 2001

    Sampling Design

    • stratified
    • multi-stage

    Primary Sampling Units

    Enterprises

    Secondary Sampling Units

    Employees

    Stratification Criteria

     The target enterprise population has been divided into two strata: small-medium size enterprises (from 10 to 249 employees) and large size enterprises (with more than 250 employees).

    As far as small-medium enterprises are concerned, the first stage units consisted of a stratified sample of enterprises from 10 to 249 employees, while the second stage units consisted of
    simple random sampling of employees. For large enterprises, a total survey was carried out at the first stage, followed by a simple random sampling of employees at second stage.

    The first level sample was drawn from ASIA (Archivio Statistico delle Imprese – an ISTAT internal business register) with reference period 2001: the target population (the frame) contains about
    152000 units (of which 2438 enterprises have more than 250) with about 7000000 employees.

    A stratified sample has been studied for enterprises with 10 to 249 employees, which fulfils the 3%
    bound for the coefficient of variation of monthly gross earning per employee.

    The strata were the combinations of 47 categories of NACE 2-digit, 4 employees sizeclasses, and 11 categories of NUTS1. A probabilistic proportional to size selection has been performed over a total of about 1.900 strata. Multivariate allocation procedures fulfilling the
    predefined accuracy and precision requirements for each planned domain provided the number of units to be selected in each strata.


    Where possible, an increase of 30% of sample was considered in order to prevent the negative effect of total non-response. A total survey was carried out for the enterprises with more
    than 250 (2438 enterprises).

    The final first level sample included 19032 enterprises.
    The number of second level units (employees) to be selected in each enterprise was proportional to the enterprise size (from a minimun of 5 up to 100 employees). Firms were trained on how to randomly select the required number of employees.

    The expected numbers of second level
    units was 160330.

     

    Sampling Method

    The Italian Structure of Earnings Survey has a two stage sampling design: a sample of employees in a sample of enterprises. The target enterprise population has been divided into two strata: small-medium size enterprises (from 10 to 249 employees) and large size enterprises (with more than 250 employees).

    The number of second level units (employees) to be selected in each enterprise was proportional to the enterprise size (from a minimun of 5 up to 100 employees). Firms were trained on how to randomly select the required number of employees.

     

     

    Units

    • Individual
    • Organisation

    Data Collection

    Start Date

    07-2003

    End Date

    08-2004

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % Self-administered

    Weighting

    Notes

    -

    References

    Structure of earnings survey (Ses) (Istituto nazionale di statistica -  Italian National Institute of Statistics)

  • NO - Norway

    National Reference

    Corresponding National Study

    Norwegian Structure of Earnings Survey 2002

    Producer

    Statistics Norway

    Universe

    The population is made up of all enterprises in
    Statistics Norway's Central Register of Establishments
    and Enterprises, with the exception of small enterprises
    with fewer than five/three employees. Each enterprise
    covers one or more local units grouped by industrial
    category. The sample in each section consists of
    enterprises drawn from the population, dependent on
    activity code and the number of employees.

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    Norwegian Business Register

    Sampling Design

    • stratified

    Primary Sampling Units

    Enterprises

    Stratification Criteria

    The variables used for stratification are industry and
    employment. As previously stated, each of the
    industries presented below, as rows in the table,
    represent a separate survey in the National earnings
    statistics. The stratification is different for each
    industry when defining size groups of enterprises and
    sub-groups of industry. The reason for this is to make
    use of the fact that the distribution of small and large
    enterprises is different between industries, and
    furthermore the understanding of what can be called
    large may vary a great deal from one industry to
    another.
    These properties and arguments are especially important if the level and distribution of earnings are actually different from one strata to another within the same industry.

    Sampling Method

    The survey is based on stratified random sampling of clusters (sampling unit),where the clusters are defined as enterprises and their
    local units by section according to Nace rev. 1.

     

    Units

    • Individual
    • Organisation

    Data Collection

    Start Date

    08-2002

    End Date

    12-2002

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Weighting

    Notes

    -

    References

    Quality report (Statistics Norway)

  • HU - Hungary

    National Reference

    Corresponding National Study

    Structure of Earnings Survey

    Producer

    Hungarian Central Statiscal Office

    Universe

    Enterprises and non-profit organizations with number of employees greater than or equal to 5, and the government sector without employee-number limit.

    Available Data

    • Longitudinal

    Sampling Procedure

    Sampling Design

    Units

    Data Collection

    Start Date

    06-2002

    End Date

    07-2002

    Participation Mandatory

    No

    Weighting

    Weighting: Method

    For the enterprises with number of employees above 49: the sample given by the procedure is weighted by the total number of employees in each case in the following domains: manual or non-manual worker and fulltime or part-time worker. For the enterprises with number of employees between 5 and 49: first the data is weighted by the total number of employees (so the weight is 1 in most of the cases except where the 3-day-rule reduced the number of employees). Then the number given in the labour costs survey is used for weighting according to the following breakdown (strata): category of number of employees (5-9pp, 10-19pp, 20-49pp), manual or non-manual worker, fulltime or part-time worker. The government sector is also weighted by the total number of employees because of the 3-day-rule.

    Notes

    -

    References

  • PL - Poland

    National Reference

    Corresponding National Study

    Structure of Earnings Survey

    Producer

    Central Statistical Office of Poland (CSO)

    Universe

    Local units and employees defined by: 

    1 – NACE sections,

    2 – ownership sector (public and private).

    There were following exceptions from this rule:

    1) in section D, J and K populations constitute particular subsections within the sector, providing that their numbers are above zero. They are the following divisions: 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 65, 66, 67, 70, 71, 72, 73 and 74,

    2) in sections M and N populations constitute particular NACE groups in a given owneship sector. They are the following groups: 801, 802, 803, 804, 851, 852 and 853.

    Sampling Procedure

    Sampling Design

    • stratified
    • multi-stage

    Primary Sampling Units

    Local Unit

    Secondary Sampling Units

    Employees

    Sampling Method

    Two-stage sampling was applied in the SES 2006 as in the previous SES, with stratification on the first stage. The first-stage sampling units constitutes local units, while on the second stage are drawn employees 

    Units

    Data Collection

    Start Date

    10-2002

    End Date

    12-2002

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Weighting

    Notes

    -

    References

  • PT - Portugal

    National Reference

    Corresponding National Study

    Structure of Earnings Statistics

    Producer

    Instituto Nacional de Estatística

    Universe

    The scope of the survey covers industries comprised in Sections C to K of NACE Rev. 1 and employees in local units with 10 or more persons occupied.

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    Business Register of Enterprises and Local Units of GEP/MTSS

    Sampling Design

    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Local Unit

    Secondary Sampling Units

    Employees

    Stratification Criteria

    The primary units (local units) were stratified according to NACE Rev. 1 at two digit level (Division), seven size classes (10 to 19 persons occupied, 20 to 49, 50 to 99, 100 to 199, 200 to 499, 500 to 999, and 1000 or more persons occupied). As for the regional level, three separate samples were designed: for the Mainland, Açores and Madeira. The total sample size, at this degree, was 12500 local units.
    For the secondary units, it was requested that the local units performed the selection of the employees in the sample, according to the given procedures, which were to select employees having a contract with the enterprise in October 2002 that were born in some specific months.

    Sampling Method

    The sampling procedure used for SES contains two stages. In the first
    stage, a stratified random sample of local units is drawn. Stratification
    is done by : economic activity at the 2-digit level of NACE Rev.1, the
    region (at the NUTs 2 level) and number of employees of the enterprise
    to which the local unit belongs, size of the enterprise (10-19, 20-49,50-
    249, 250-499,500-999,1000 or +). For the second stage, a simple
    random sample of employees is taken within each of the selected local
    units. The sample selection of the local units within strata is made using
    systematic sample with random start.For the secondary units, it was
    requested that the local units performed the selection of the
    employees in the sample, according to the given procedures, which
    were to select employees having a contract with the enterprise in
    October 2002 that were born in some specific months. Those months
    varied with the size class of the local unit.

    Units

    • Individual
    • Organisation

    Data Collection

    Start Date

    06-2003

    End Date

    02-2004

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % Self-administered

    Weighting

    Notes

    -

    References

  • FR - France

    National Reference

    Corresponding National Study

    Structure of earnings survey (ESS) 2002

    Producer

    National Institute of Statistics and Economic Studies (INSEE)

    Universe

    Employing establishment of a company of more than 10 employees within the sectors of activity from sections C to K, M, N and O in NACE rev. 1.1

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Local Unit

    Secondary Sampling Units

    Individuals

    Sampling Method

    The sample selection process is based on a two stages sampling design, with first a choice of local units (selected in the French administrative business register Sirene) then, with a selection of employees within the local units selected in first stage (via DADS).

    Units

    • Individual
    • Organisation

    Data Collection

    Start Date

    06-2003

    End Date

    06-2003

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % Self-administered

    Weighting

    Notes

    -

    References

    Statistical operation: Labour cost and structure of earnings annual survey/ Ecmoss (INSEE - National Institute of Statistics and Economic Studies)

    Structure of Earnings Survey (ADISP - CMH Réseau Quetelet)

     

  • BG - Bulgaria

    National Reference

    Corresponding National Study

    The Structure of Earnings Survey (SES)

    Producer

    National Statistical Institute (NSI)

    Universe

    1) Local units with 1 or more employees belonging to enterprises with 10 or more employees.

    2) Employees with earnings during October 2002, having at least 1 working day paid by the employer at a full rate.

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    • random
    • stratified

    Primary Sampling Units

    Local Unit

    Secondary Sampling Units

    Employees

    Sampling Method

    A two-stage sample is employed in Bulgaria. At the first stage, a stratified random sample of local units is drawn from the population of local units that belong to enterprises with 10 or more employees. Stratification criteria used are economic activity (2-digit level of NACE Rev. 1) and size of the local units in terms of the number of employees. Units in each cell defined by economic activity and size class were sorted by geographic location (NUTS3 level) so that an almost proportional sample by regions was drawn. The sample from local units was produced in SAS.

    At the second stage, a systematic sample of employees was taken within each of the randomly selected local units. For each of size class was fixed different sampling rates (sampling steps) and a rotating random start digit for each local unit was allocated by computer so that the start digit is rotated continually over the economic activities .

    Units

    • Individual
    • Organisation

    Data Collection

    Start Date

    04-2003

    End Date

    06-2003

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % Self-administered

    Weighting

    Notes

    -

    References

  • ES - Spain

    National Reference

    Corresponding National Study

    Structural Earnings Survey

    Producer

    INE (Instituto nacional de Estatica)

    Universe

    In Spain, two Structural Earning Surveys were undertaken, all in collaboration with the Statistical Office of the European Communities (Eurostat). The first was the Structural Earning Survey for the period referring to 1995, which covered the activities of indus-try, building, commerce, hotels and restaurants, transport, communications, finance institutions and insurance. The second and the last survey, which referred to the 2002, broadened the coverage to include the activities outlined in sections M, N and O of NACE Rev.1.

    Sampling Procedure

    Source Of Sampling Frame

    Social Security Register of Contributions Accounts

    Sampling Design

    • stratified
    • multi-stage

    Units

    • Individual
    • Institution

    Data Collection

    Start Date

    -

    End Date

    -

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Weighting

    Notes

    -

    References

     Eurostat

     

  • NL - Netherlands

    National Reference

    Corresponding National Study

    Structure of Earnings

    Producer

    Statistics Netherlands

    Sampling Procedure

    Sampling Design

    Sampling Method

    CBS uses an administrative data set of all the working people in the Netherlands for the information about working hours, salary... CBS crosses this data with three years LFS(2000, 2001 and 2002 for SES2002) to get information about education and occupation.

    For 2002 the administrative data (EWL) were not integral, the smaller enterprises were under-represented, this makes the weighting procedure more complicated.

     

    (explanations by CBS)

    Units

    Data Collection

    Start Date

    12-2002

    End Date

    07-2003

    Participation Mandatory

    No

    Weighting

    Notes

    -

    References

  • BE - Belgium

    National Reference

    Corresponding National Study

    Enquête annuelle sur les salaires

    Producer

    Statistics Belgium

    Universe

    The universe is made up of local units and their working staff. Local unities must belong to the B-N and P-S sections of the NACE rev.2. Companies must employ at least 10 workers.

     

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Local Unit

    Secondary Sampling Units

    Employees

    Stratification Criteria

    In the first stage, a stratified random sample of local units were drawn. The stratification criteria were the economic activity, the number of employees and the region of the local unit.

    Sampling Method

    The SES were conducted based on a two-stage sampling approach. In the first stage, a stratified random sample of local units were drawn. The stratification criteria were the economic activity, the number of employees and the region of the local unit. The questionnaire, the explanation and a list of local units for which the survey needed to be filled in were sent to the head offices of the selected local units. We chose not to send the questionnaire to every local unit in the sample, since a central pay-roll administration is usually responsible for the payment of all wages. The possibility of a mistake by the enterprise, for example by taking the wrong local unit, is very limited, because every local unit in Belgium has its own unique administrative number. The continuously updated business register was used to define the sampling frame. 

    In the second stage, the local unit had to select a number of employees according to the instructions in the explanation.

    Units

    • Individual
    • Institution

    Data Collection

    Start Date

    01-2003

    End Date

    06-2003

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % Self-administered

    Weighting

    Weighting: Method

    The SES is based on a sample of employees drawn from a stratified sample of local units. Therefore also two grossing-up factors are available. Within each sampling stratum, the grossing-up factor for each local unit equals to the number of local units in the population / the number of local units in the sample. The grossing-up factor for employees within a local unit equals to the number of employees in the population / the number of employees in the sample.

    In both stages a correction for non-response takes place.

    Notes

    -

    References

  • EE - Estonia

    National Reference

    Corresponding National Study

    Structure of  Earnings Survey

    Producer

    Statistics Estonia

    Universe

    The population and the sampling frame contained enterprises, institutions and organisations and local units.

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Enterprises

    Secondary Sampling Units

    Employees

    Stratification Criteria

    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-88 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.

    Sampling Method

    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-88 are completely enumerated.

    Units

    • Individual
    • Institution
    • Organisation

    Data Collection

    Start Date

    09-2006

    End Date

    03-2007

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % Self-administered

    Weighting

    Notes

    -

    References

    Quality Report (Eurostat)

  • EL - Greece

    National Reference

    Corresponding National Study

    The Greek Structure of Earnings Survey

    Producer

    the National Statistical Service of Greece

    Universe

    Firms of more than 10 employees in sectors such as manufacturing, construction and services (NACE C-K)

    Sampling Procedure

    Sampling Design

    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Enterprises

    Sampling Method

    The sample of the Structure of Earning Survey is constructed by three-dimensional stratified random sampling covering firms of more than 10 employees in sectors such as manufacturing, construction and services (NACE C-K).

    The process of deriving the sample is the following: in the first step a sample of firms from the firm registry is selected, in the second step the sample of the local units belonging to the firms of the first stage is selected, and in the final step a sample of employees belonging to the local unit is selected. Before the selection, firms are classified into strata according to region, economic activity (NACE 2-digit) and firm size (defined by the number of employees inthe firm).

    Units

    • Individual
    • Organisation

    Data Collection

    Start Date

    -

    End Date

    -

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Weighting

    Notes

    -

    References

  • FI - Finland

    National Reference

    Corresponding National Study

    Structure of Earnings Survey

    Producer

    Statistics Finland

    Universe

    SES covers normally private sector enterprises with at least 5 employees and all public sector wage and salary earners. The scope of the statistics does not extend to the top management of private sector enterprises nor cover enterprises, whose main activity belongs to the industries of agriculture, forestry and fishery, private households employing domestic staff or extra-territorial organisations and bodies. In addition to previously mentioned groups, wage and salary earners whose gender could not be determined are also excluded from the statistics.

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    An updated national enterprise register.

    Sampling Design

    Sampling Method

    Data is based on national Structure of Earnings Statistics and includes a 25% random sample of employments in national earnings data. Data supplied to Eurostat does not cover enterprises employing less than 10 employees.

    Units

    Data Collection

    Start Date

    -

    End Date

    -

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Interview Mode

    • 25 % PAPI
    • 75 % Websurvey

    Weighting

    Notes

    "Wage statistics are compiled in Finland in a somewhat different manner than in the most of European countries.

    Basically, wage statistics akin to the Structure of Earnings Survey are compiled every year. And these statistics (data) tend to have rather high coverage of employees working in Finland.

    Every year Statistics Finland receives wage data of round 60 percent of private sector employees form the Confederation of Finnish Industries. Data covers substantial proportion of Finnish private sector firms. On top of that, Statistics Finland adds to the private sector data with our own wage enquiry. In together, this data covers 60 of private sector employees. Missing data is due to attrition and the fact that firms with less than 5 employees are excluded from these enquiries.

    What comes to public sector, we have for every year full coverage. Wage statics of the central government are obtained from state treasury and local sector wage statistics are collected by Statistics Finland.

    So this the backdrop for the questions; few of those seem relevant in absence of sampling etc.

    There is not a sample in conventional way, but our target population were (and is) all the firms with more than five employees. That were approx. 1 600 000 employees per year.

    We have cross-sectional and longitudinal data available although the nature of data collection was cross-sectional.

    As for weighting method – to correct non response - Statistics Finland used so called Särndal’s calibration method. That is fairly simple method; the date is divided into strata according to industry (nace) and firm size (4 classes). For each strata the inverse of the response rate is used as a weight."

    (Explanations by the Statistics of Finland)

    References

    description_1 (Statistics Finland)

    description_2 (Statistics Finland)

    definition (Statistics Finland)