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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Ministry for National Economy |
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1.2. Contact organisation unit | Labour Market Department |
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1.5. Contact mail address | 1051 Budapest, József nádor tér 4. |
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2.1. Data description | |||
Hungary has more than 30-years of tradition in conducting surveys similar to the Structure of Earnings Survey. Since 1992 it is a yearly survey, with the reference month of May. The requirements of the Structure of Earnings Survey were fulfilled by a few modifications and the development of the traditional survey. All the necessary modifications were made to SES-2002, and since than all surveys have been conducted according to the EU requirements regarding the Structure of Earnings Survey. The most important modifications were:
In 2010 the survey was conducted by the National Employment and Social Office, a background institution of the Ministry of Social Policy and Labour. The successor of the National Employment and Social Office is the National Labour Office which is the head office of the Public Employment Service in Hungary and – together with the Labour Centres– belongs to the Ministry of National Economy (the successor of the Ministry of Social Policy and Labour).
In 2010 the survey included micro-enterprises as well (with more than 2 employees) for the first time in the history of the Earnings Surveys. Even though the response rate was quite low, the Ministry decided to include micro enterprises in the survey every four years.
The main uses of the survey:
The use of the survey in the wage negotiation process explains why it is so important to keep May as the reference month: it makes possible the use of the latest figures as early as in November or December of the same year in the wage agreements for the next year. Since we kept May as the reference month, the limitation remains that we can not collect the annual non-regular payments of the reference year, therefore, we collect the non-regular yearly earnings of the previous year. As described in the quality report of SES-2002 in great details this is not a serious setback, because the difference caused by this limitation is certainly less than the sampling error. In the case of SES-2002 we had difficulties to determine the main activity of the local units if it was different from the activity of the whole company. We tried to collect this information from the local units and asked for help from the Central Statistical Office as well. The problem was partly solved. In the case of SES-2006 and SES-2010 the situation was similar because the business register of CSO did not contain the local units with their own NACE codes in these years either. However, our survey requests companies to provide the NACE code of local units, so the problem has been reduced. |
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2.2. Classification system | |||
Not available. |
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2.3. Coverage - sector | |||
Not available. |
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2.4. Statistical concepts and definitions | |||
Not available. |
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2.5. Statistical unit | |||
Not available. |
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2.6. Statistical population | |||
Not available. |
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2.7. Reference area | |||
Not available. |
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2.8. Coverage - Time | |||
Not available. |
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2.9. Base period | |||
Not available. |
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3.1. Source data | |||
Probability sampling
Two different methods are used for the sampling:
For budgetary institutions, which report individually, the first sampling method is the same. However, most of these institutions are incorporated in a central payroll system and thus, for these institutions we get all the necessary data of each individual employee. (Now about 85-90% of public employees and 95% of government employees are reported this way.)
* We use three birthdates in the case of white-collar workers: the 5th, 15th and 25th day of any month in any year. Three times twelve days in a year results in a 36/365=0,0986 sampling ratio. For blue-collar workers within the business sector we use only two birthdates: the 5th and 15th of any month in any year, which results in a 24/365=0.0657 sample size. Within the budgetary sector we use three birthdates both for white and blue collar workers (the 5th , 15th and 25th). |
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3.2. Frequency of data collection | |||
[Not requested]. |
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3.3. Data collection | |||
[Not requested]. |
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3.4. Data validation | |||
[Not requested]. |
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3.5. Data compilation | |||
[Not requested]. |
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3.6. Adjustment | |||
[Not requested]. |
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4.1. Quality assurance | |||
Not available. |
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4.2. Quality management - assessment | |||
[Not requested] |
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5.1. Relevance - User Needs | |||
The main objective of the survey is to create a common database for social partners for the reconciliation of interests. The main users are the three parties participating in the wage negotiation process on the macro level, i.e. the representatives of the government, the employees and the employers. One of the main users of the database is the Ministry of National Economy, but most of the computations made for the Ministry serve the other two parties as well. The organizations of employees and employers can influence the contents of the survey, their opinion is important and taken into consideration in evaluating the results of the survey. There is a huge set of standard tables, agreed upon by the three parties, which is given to all participating trade unions every year, free of charge.
The main uses are:
Another important user is the Central Statistical Office. It takes over the whole database each year to fulfill different international statistical reporting obligations. The OECD demands wage dispersion indicators and the proportions of low wage earners which are sent to them each year. The ILO is interested in getting the data for the October Inquiry, which are produced for them by the CSO, based on this database.
In 2008 the IMF also used the SES data on the budgetary institutions to prepare their country report on Hungary. The Local Labour Centres use the average earnings by occupations to determine the unemployment benefit in special cases and to help judgment on work permit applications of foreign citizens. The National Directorate of the Pension Fund also uses the average earning by occupations to determine pensions in special cases according to international agreements. The juries of justice also use earnings data to calculate claims for compensation in case of accidents on the work place and other debates. Other requests: universities, research institutions, students working on their thesis, embassies, individual companies, etc. Most of these are fulfilled free of charge, in some cases with reimbursement of costs. An important user is the media. The media can reach the most important results on the internet. Potential Hungarian and foreign investors are also interested in basic wages and earnings data. In most cases they can find the requested data on the website of the Public Employment Service (www.munka.hu ) in English as well.
[1] The guaranteed minimum wage is the required minimum wage for positions with secondary or tertiary degree. |
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5.2. Relevance - User Satisfaction | |||
In most cases we can satisfy the specific requests, the only occasional limits are the lack of capacity and the rules of data protection. |
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5.3. Completeness | |||
SES-2010 is complete and contains all the compulsory variables required by the Commission Regulation. All the necessary breakdowns are provided (NACE, ISCO, ISCED, NUTS), the transcoding was made on the required levels (NACE sections, ISCO-88 first digit, ISCED 0-6 and NUTS level 1). This means that SES-2010 Hungary is completely comparable on EU level. The only difference, that we use May as our reference month instead of October, however, this doesn’t cause serious problems. What is also important is that our survey is conducted every year, even though EU regulations require the survey only every four years. All surveys are conductedaccording to the EU regulations. |
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5.3.1. Data completeness - rate | |||
[Not requested] |
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- |
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6.1. Accuracy - overall | |||
[Not requested] . |
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6.2. Sampling error | |||
Probability sampling - Bias Due to the probability sampling method, there is no systematic bias in the estimations.
Non-probability sampling This is not applicable in our case. |
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6.2.1. Sampling error - indicators | |||
Probability sampling - Variance The coefficients of variation for monthly and hourly earnings of full-time and part-time employees, according to the breakdowns required were computed and presented in Attachments C and D. The CVs are high because the dispersion of wages is much bigger among individuals than in the case of company averages.
Non-probability sampling This is not applicable in our case. Annexes: Attachment C Coefficients of variation concerning gross monthly earnings of full-time and part-time employees Coefficients of variation concerning gross hourly earnings of full-time and part-time employees |
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6.3. Non-sampling error | |||
. |
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6.3.1. Coverage error | |||
Possible under-coverage may occur because of new units: birth, mergers and demergers of old units. To avoid this to the possible rate, we use the latest updated version of the sampling frame, the business register of the CSO. Under- or over-coverage may occur because of misclassification of the number of employees by bands. In most cases this does not cause any problems, because for grossing up we use the actual total number of employees, given on the cover-sheet of the report by each employer. (This grossing up method is used for firms over 50 employees.) Misclassification can also occur if the main activity (NACE code) of the local unit is incorrect. Although we did our best to eliminate this problem, probably a few misclassifications remained. |
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6.3.1.1. Over-coverage - rate | |||
. |
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6.3.1.2. Common units - proportion | |||
[Not requested]. |
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6.3.2. Measurement error | |||
In our case measurement errors are reporting errors. The most important sources of these include:
Measurement errors are checked and amended through a lengthy and thorough checking process:
A special feature of the survey in Hungary is that the majority of data in the budgetary sector come from a central payroll system. It means that theoretically measurement errors are not possible, unless some variables are missing from the central system or there are errors in the system. The central payroll system uses the same terms and definitions that are determined and used by the Central Statistical Office for statistical purposes. (CSO’s labour statistics surveys are also based on the central payroll system.) At the time of the SES 2002 survey the variable of paid holidays was missing from the central payroll system. The problem was solved by imputing the figures for each individual by using the length of holiday determined by law for each age category. In 2010 the problem did not exist any more. |
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6.3.3. Non response error | |||
The survey is part of the annual National Programme of (obligatory) Statistical Reports. It is compulsory for all firms over 50 employees, for all budgetary institutions and for firms in the business sector with less than 50 employees which were selected for the sample. In spite of obligatory reporting, some of the larger companies do not respond to the survey. (Each gets the questionnaires and the instructions by mail, escorted with a letter and some of the results of the previous survey.) By using arrival lists we try to collect data from the most important respondents by calling them on the phone. In most cases we succeed, however, a few remain missing from the survey. The lack of our capacity limits these efforts. For smaller firms, especially under 20 employees, the non-response rate is higher. However, this problem can partly be corrected by using a different grossing up method. Where a 20% sample is selected from the complete list of smaller companies, the grossing up factors are determined for the individual size bands by using the total number of employees in the appropriate size band according to the CSO’s establishment based labour statistics. The response rate in the business sector is changing from 94 to 53 per cent from the largest to the smallest companies in case of organizations with 5 employees or more. In 2010 the CSO selected a 8% representative sample of micro enterprises as well which we included in the survey for the first time. However, out of the 12,000 micro enterprises only 23% answered the data sheet. Although the response rate was quite low, the Ministry decided to include micro enterprises in the survey every four years in the future as well. In the budgetary sector the response rate is excellent (99,9%) thanks to the well functioning central payroll system. It certainly improved substantially since SES-2002. The non-response rate causes biases concerning the total number of employees and their distribution by size bands, but these biases are small concerning the estimates of monthly or annual earnings and for hours paid, which are the most important results of the survey. |
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6.3.3.1. Unit non-response - rate | |||
[Not requested]. |
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6.3.3.2. Item non-response - rate | |||
[Not requested]. |
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6.3.4. Processing error | |||
. |
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6.3.4.1. Imputation - rate | |||
. |
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6.3.5. Model assumption error | |||
This is not applicable in our case, because we don’t use model assumptions for the Structure of Earnings Survey. |
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6.4. Seasonal adjustment | |||
[Not requested]. |
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6.5. Data revision - policy | |||
[Not requested]. |
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6.6. Data revision - practice | |||
[Not requested]. |
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6.6.1. Data revision - average size | |||
[Not requested]. |
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7.1. Timeliness | |||
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7.1.1. Time lag - first result | |||
[Not requested]. |
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7.1.2. Time lag - final result | |||
[Not requested]. |
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7.2. Punctuality | |||
The reference month of the Hungarian survey is the month of May. Key data collection dates are as follows:
- for companies with less then 300 employees: 7th July 2010 - for companies over 300 employees: 14th July 2010 - for all budgetary institutions: 14th July 2010
- receiving the reports, manual checks, recalling missing responses by using computerized arrival lists: continues until the end of August - data entry and compiling the reports received via e-mail and on CDs: parallel with the previous phase - logical checks, data corrections using the phone where programmed corrections are not possible: September – October 2010 - data entry for late arrivals and data corrections: October 2010 - quality check before data processing: November 2010
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7.2.1. Punctuality - delivery and publication | |||
[Not requested]. |
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8.1. Comparability - geographical | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The national concepts, terms and definitions are harmonized with the European ones. The industrial classification corresponds with the NACE coding system generally used in the EU. The Hungarian classification of occupations (FEOR-93) is similar to ISCO-88. The structure and principles are the same, but they are equivalent only on the 1st digit level. Transcoding is possible on the two and three-digit levels and not possible on the 4-digit level. There is no generally used classification of education in Hungary, but the level of education may be transcoded to ISCED (0 to 6). The statistical unit of the survey is the local unit. The industrial classification comes from the register of employers of the Central Statistical Office. The register is updated monthly, which is a very difficult task in the case of smaller enterprises. The set up of new companies can be tracked easily because new companies have to request for an identification number. However, data tracking is much more difficult in the case of company closings. |
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8.1.1. Asymmetry for mirror flow statistics - coefficient | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[Not requested]. |
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8.2. Comparability - over time | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The structure of the survey has not changed since 2002, therefore comparability is assured. However, as new NACE codes were introduced in 2008 comparison between SES-2006 and SES-2010 data broken down by industry is not possible. |
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8.2.1. Length of comparable time series | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[Not requested]. |
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8.3. Coherence - cross domain | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
According to Commission Regulation 698/2006 we investigated the coherence regarding the compensation per employees between SES and SNA-based figures. The results can be found in the table below. The table shows that in almost all NACE sections the SNA based compensation per employee figures are higher than the average earnings data from the Structure of Earnings Survey. However, despite the differences, in 2010 the figures of the two surveys are much closer to each other than they were in 2006. In the manufacturing sector, the largest employer in the economy, the difference is negligible. The possible causes of the difference are:
Gross annual earnings per employee (SES) and Wages and salaries per employees (SNA) from SES-2010 and SNA 2010
Annexes: Attachment E Tables to compare the results of SES-2010 with the results of LCS-2008 |
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8.4. Coherence - sub annual and annual statistics | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[Not requested]. |
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8.5. Coherence - National Accounts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[Not requested]. |
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8.6. Coherence - internal | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[Not requested]. |
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9.1. Dissemination format - News release | |||
[Not requested]. |
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9.2. Dissemination format - Publications | |||
a) For the open public:
b) For the interested ministries, trade unions and employers organizations:
c) For selected important users (social partners, Directorates of CSO, Regional Labour Centres, Universities, Research Institutes, ministries, libraries) a four-volume publication is published every year on basic wages and earnings (cca 4*200 pages) and since 2005 data are accessible on the internet as well
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9.3. Dissemination format - online database | |||
a) Users of the whole database
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9.3.1. Data tables - consultations | |||
[Not requested]. |
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9.4. Dissemination format - microdata access | |||
[Not requested]. |
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9.5. Dissemination format - other | |||
a) For the open public:
b) For the interested ministries, trade unions and employers organizations:
c) Special requests Trade unions, companies, potential investors etc. may order for special data processing on a cost reimbursement basis taken into consideration the rules of data protection. |
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9.6. Documentation on methodology | |||
Methodological comments and explanations are given to the users with the CD containing the standard tables and with the four-volume publication of basic wages and earnings. The same document can also be found on our website. |
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9.7. Quality management - documentation | |||
[Not requested]. |
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9.7.1. Metadata completeness - rate | |||
[Not requested]. |
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9.7.2. Metadata - consultations | |||
[Not requested]. |
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[Not requested]. |
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11.1. Confidentiality - policy | |||
[Not requested]. |
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11.2. Confidentiality - data treatment | |||
[Not requested]. |
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The required results for tabular analyses are attached in Attachments A and B. The distributions of full-time (FT) employees and part-time (PT) employees are provided separately according to the required breakdowns. The results of SES-2010 can be compared to the results of SES-2006, which were attached to the Quality Report of SES-2006, except for the breakdowns by NACE due to the changes in the NACE coding system in 2008. Annexes: Attachment A Distributions of full-time employees SES2010 Attachment B Distributions of part-time employees SES2010 |
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