|
|
For any question on data and metadata, please contact: EUROPEAN STATISTICAL DATA SUPPORT |
|
|||
1.1. Contact organisation | Central Statistical Bureau of Latvia |
||
1.2. Contact organisation unit | Wages Statistics Section Social Statistics Department Mathematical Support Division |
||
1.5. Contact mail address | Lāčplēša iela 1, Rīga, LV–1301, Republic of Latvia |
|
|||
2.1. Data description | |||
The Central Statistical Bureau (hereinafter – Bureau) has conducted Structure of Earnings Survey 2014. The survey was carried out in compliance with the Council Regulation (EC) No 530/1999 of 9 March 1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 of 21 October 2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. In accordance with the above regulations, the survey is conducted once in four years. The previous survey took place in 2010. The Structure of Earnings Survey aims at obtaining precise, harmonised and comparable information on correlations between the size of wages and salaries and individual characteristics of employees (occupation, gender, age, educational attainment level, type of labour contract, etc.), as well as characteristics of the employers thereof – kind of economic activity, region, size of enterprise or institution in the European Union Member States and candidate countries. Indicators on wages and salaries are summarised on the country as a whole as well as in breakdown by economic activity and region on both reference year and October of the reference year. The data on the number or coverage of employees having collective pay agreement are compiled as well. In compliance with the above regulations, the respondents were required to fill in the Bureau questionnaires only with the data on selected employees, since only such kind of information ensured production of the necessary summaries on the mentioned groupings. In compliance with the Statistics Law, the information on employees acquired within the survey is confidential and is used only in a form of summaries preventing identification of individual persons and enterprises. The survey results may be used for international comparisons, research purposes, development of various earningsrelated regulatory documents, and as additional information to characterise situation in the labour market. Annual, monthly and hourly wages and salaries may be analysed by employee sex, age, educational attainment, full or part-time work, type of labour contract, economic activity of statistical unit, as well as in various combinations and groupings of the above indicators. |
|||
2.2. Classification system | |||
The survey covered full-time and part-time employees who had main or secondary job on 31st of October 2014 and received remuneration. The wages and salaries are indicated for each particular place of work. They do not cover wage of the same employee elsewhere (in a second or third job). The survey did not cover the self-employed persons. The survey aimed at obtaining information on local units of statistical units regardless of the number of employees. Only peasant and fishermen farms employing 50 and more persons were included. Data on the each local units surveyed were submitted by the statistical units. Data in breakdown by branches are compiled based on the kind of economic activity of the local unit. |
|||
2.3. Coverage - sector | |||
The statistics of the 2014 SES refer to enterprises in the areas of economic activity defined by sections B to S. |
|||
2.4. Statistical concepts and definitions | |||
The survey covered full-time and part-time employees who had main or secondary job on 31st of October 2014 and received remuneration. In the summary tables each of the employees is included as one employee. The individual characteristics of employees (age, highest educational level attained, occupation, workload, etc.) are given on 31 October 2014. The wages and salaries are indicated for each particular place of work. They do not cover wage of the same employee elsewhere (in a second or third job). The survey did not cover the self-employed persons. The survey aimed at obtaining information on local units of statistical units regardless of the number of employees. Only peasant and fishermen farms employing 50 and more persons were included. In the survey it was assumed that there were no local units in the statistical units employing fewer than 10 employees. Centralized bookkeeping offices of local governments provided data not about the local units but about following economic activities, if any: Electricity, gas, steam and air conditioning supply; Public administration and defence; compulsory social security; Education; Social care with accommodation; Social case without accommodation; Arts, entertainment and recreation; Activities of libraries, archives, museums and other cultural activities. It was assumed that each activity is one local unit. Such an approach does not produce mistakes in the SES data in breakdown by region, as local units of the local governments are always situated only within the territory of the corresponding local government. |
|||
2.5. Statistical unit | |||
The statistical unit is a local unit. But it was assumed that there were no local units in the statistical units employing fewer than 10 employees. Centralized bookkeeping offices of local governments provided data not about the local units but about economic activities. |
|||
2.6. Statistical population | |||
Out of 889.5 thousand employees forming the population in economic activities A–S, 177.2 thousand employees were included in the sample. |
|||
2.7. Reference area | |||
Indicators on wages and salaries are summarised on the country as a whole. |
|||
2.8. Coverage - Time | |||
From 2002 to 2014 |
|||
2.9. Base period | |||
2002 year |
|
|||
3.1. Source data | |||
The variables that have been corrected most often are: - share of full-time or part-time normal hours (variable 2.7.1.) worked by employees in PT does not correspond to the share of number of normal hours worked by employee in the local unit in FT; - collective pay agreement (variable 1.5) does not correspond to any of 5 categories of agreements; - wages and salaries in October 2014 included variables on whole 2014. |
|||
3.2. Frequency of data collection | |||
The survey is conducted once in four years. The previous survey took place in 2010. |
|||
3.3. Data collection | |||
Systematic process of gathering data for official statistics. |
|||
3.4. Data validation | |||
See 4. Quality management. |
|||
3.5. Data compilation | |||
Operations perfomed accordance Eurostat’s arrangements for implementing the Council Regulation 530/1999, the Commission Regulations 1916/2000 and 1738/2005 |
|||
3.6. Adjustment | |||
During the arrangement of micro database the following additional procedures were done: - if employee’s earnings in October were calculated at reduced rates (sick leave certificate A), the employees were excluded from the sample, and the weights were re-calculated so that such employees were excluded from the sample; - if in October employee’s earnings were affected by unpaid absence, including the cases when employee joined enterprise in October, in order to estimate the employee’s earnings for full month, the earnings and hours worked in October were adjusted.
Comparison of the values of the variable “The annual income of the employee” obtained from the data base of the State Revenue Service with values of the variable "Gross earnings in the reference month" obtained from SES 2010 shows that for 80 % of employees the two variables differ no more than by 1 % and 3.5 % of employees have difference not exceeding 5 %.
Therefore the data of the State Revenue Service served as a source to calculate and input values of variable B41 (Gross annual earnings), B411 (Annual bonuses and allowances not paid at each pay period)andB31 (Number of weeks to which the gross annual earnings relate)for the respondents in the size class “1–9”. A special shortened questionnaire was been developed for such respondents. Some assumptions for these respondents are made: - respondent has no local units; - the annual income of the employee is equal to his/her gross annual earnings without annual payments in kind; - the pay system is very simple, and variable value B411=0. The un-weighted imputation rate for each variable accounted for 5.3 %. The weighted imputation rate for each variable constituted 18.1 %.
Data of the Business Register of the Business Statistics Department of Latvia were used for imputation of non-response data of the variable A17 (Affiliation of the local unit). The imputation rate accounted for 100 %.
Data of Latvian Population and Housing Census 2011 were used for the imputation of non-response data in the variable B25 (Level of education). The un-weighted imputation rate constituted 0.6 %. The weighted imputation rate accounted for 0.7 %. The overall un-weighted imputation rate comprised 4.1 %. |
|
|||
4.1. Quality assurance | |||
In order to reduce the measurement errors the questionnaire was supplemented with detailed instructions. In the validation program for each enterprise the data of the SES survey were compared with the variables from other surveys. Web questionnaire has validation control, and it generates a short description of errors in a dialog box. For some categorical variables a drop-down menu of the dialog box was used. |
|||
4.2. Quality management - assessment | |||
Data quality, based on standard quality criteria is assed as resonable precise, excluded data on NACE Rev.2 S |
|
|||
5.1. Relevance - User Needs | |||
The main users of the Structure of Earnings Survey data in Latvia and abroad can be classified as follows: - National (internal) users:
International users:
Central government institutions for own needs are using information on the number of employees in breakdown by region, occupation, age, educational group, etc., as well as data on the average wages and salaries in various breakdowns. Trade unions, associations and societies are interested in obtaining information on the average monthly wages and salaries received by selected occupations or occupational groups. Mass media use several key indicators, e.g., average monthly wages and salaries in the country in selected sectors and regions. |
|||
5.2. Relevance - User Satisfaction | |||
User satisfaction surveys have not been conducted yet. |
|||
5.3. Completeness | |||
Several potential users may need data at more detailed degree of elaboration, which SES 2014 survey cannot provide. |
|||
5.3.1. Data completeness - rate | |||
[Not requested] |
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.1. Accuracy - overall | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
a) Coefficients of variation (CV) concerning average gross earnings in the reference month (variable B42) are broken down by: - full-time (separately for men and women) and part-time employees; - Sections of the NACE Rev.2; - occupation (ISCO-08 at 1-digit level); - age band (under 20, 20–29, 30–39, 40–49, 50–59, 60 and over); - level of education attained (levels 1–4 of the ISCED 2011); - size band of enterprise (1–9, 10–49, 50–250, 500–999, 1000+).
By Sections of the NACE Rev.2
By occupation
By age By highest level of education and training (ISCED 2011) successfully completed (by main group code)
b) Coefficients of variation (CV) concerning average gross hourly earnings in the reference month are broken down by: - full-time (separately for men and women) and part-time employees; - Section of the NACE Rev.2; - occupation (at 1-digit level of the ISCO-08); - age band (under 20, 20–29, 30–39, 40–49, 50–59, 60 and over); - level of education attained (levels 1–4 of the ISCED 2011); - size band of enterprise (1–9, 10–49, 50–249, 250–499, 500–999, 1000+).
By size band of enterprise By Sections of the NACE Rev.2 By occupation By highest level of education and training (ISCED 2011) successfully completed (by main group code) By size band of enterprise
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.2. Sampling error | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The standard error is calculated according to the sampling design. Coefficient of variation (CV) is a value for which the estimate of indicator is used as the denominator and the standard error is used as the numerator. |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.2.1. Sampling error - indicators | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Coefficient of variation (CV) is value, of which the denominator is estimate of indicator and of which the numerator is standard error. Please see in the attached document Coefficients of variation.
a) Coefficients of variation (CV) concerning total gross earnings in the reference month are broken down by:
b) Coefficients of variation (CV) concerning average gross hourly earnings in the reference month are broken down by:
Annexes: Coefficients of variation |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.3. Non-sampling error | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The survey sample was drawn at the end of 2014. Time lag between the last update of the sampling frame and the moment of the actual sampling constituted approximately one year. This is the main reason behind the coverage errors in the survey. The estimated over-coverage rate of the reference population accounted for 3.6 %, whereas actual under-coverage rate – for 2.9 %. The weights were calculated using updated frame, thus reducing the influence of the coverage errors. Comparison of the values of the variable “The annual income of the employee” obtained from the data base of the State Revenue Service with values of the variable "Gross earnings in the reference month" obtained from SES 2010 shows that for 80 % of employees the two variables differ no more than by 1 % and 3.5 % of employees have difference not exceeding 5 %. Therefore the data of the State Revenue Service served as a source to calculate and input values of variable B41 (Gross annual earnings), B411 (Annual bonuses and allowances not paid at each pay period)andB31 (Number of weeks to which the gross annual earnings relate)for the respondents in the size class “1–9”. A special shortened questionnaire was been developed for such respondents. Some assumptions for these respondents are made: - respondent has no local units; - the annual income of the employee is equal to his/her gross annual earnings without annual payments in kind; - the pay system is very simple, and variable value B411=0. The un-weighted imputation rate for each variable accounted for 5.3 %. The weighted imputation rate for each variable constituted 18.1 %.
Data of the Business Register of the Business Statistics Department of Latvia were used for imputation of non-response data of the variable A17 (Affiliation of the local unit). The imputation rate accounted for 100 %.
Data of Latvian Population and Housing Census 2011 were used for the imputation of non-response data in the variable B25 (Level of education). The un-weighted imputation rate constituted 0.6 %. The weighted imputation rate accounted for 0.7 %. The overall un-weighted imputation rate comprised 4.1 %.
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.3.1. Coverage error | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The sample of the survey was made at the end of year 2010. Time lag between last update of the sampling frame and the moment of the actual sampling was approximately one year. This is the main reason of coverage errors in the survey. Rate of under-coverage for the reference population is 2%. Weights were calculated using updated frame. Thus the influence of the coverage errors was reduced. |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.3.1.1. Over-coverage - rate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Estimated rate of over-coverage for the reference population is 0. |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.3.1.2. Common units - proportion | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[Not requested] |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.3.2. Measurement error | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In order to reduce the measurement errors questionnaire was supplemented with detailed instructions. In cooperation with the representative from the enterprise validation program for each questionnaire was created. In the validation program for each enterprise the data of the SES survey were compared with the variables from other surveys. If it was not possible to correct wrong values, or if it was not possible to get the data for not filled-in variables, the questionnaire was considered as not delivered and the weights were recalculated.
One the steps to escape input of erroneous or incomplete information into the database was to develop a data entry program including a wide range of logical controls. Each questionnaire was validated according the validation program. The validation program consists of arithmetical and logical controls. These controls ensure all-round data verification:
Every statistician has a definite number of enterprises from which the questionnaires have to be collected, entered and verified. If any answer on the questionnaire’s variance was missed or (according to the rules implemented in the data entry programme) filled incorrectly, the responsible person could not finish the data entry of the questionnaire. In such situations the responsible person contacted the enterprise once more and made the necessary changes in the questionnaire.
Survey input was conducted both by Central office in Riga and regional offices. The validation should be done in two ways:
All expressions not filed could be seen on the monitor or printed. The variables that have been corrected most often are:
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.3.3. Non response error | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The response rate of local units of enterprises is 89.4%. The design weights are adjusted according non-response in each stratum. If report from the respondent was not received on time, statistician called him/her and asked to fill in the report or found out the reason of non-response.
During the arrangement of the micro database the following additional procedures were done:
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.3.3.1. Unit non-response - rate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[Not requested] |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.3.3.2. Item non-response - rate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[Not requested] |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.3.4. Processing error | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Validation programs including a series of arithmetical and logical controls were established in addition to detailed instructions supplemented with questionnaire. |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.3.4.1. Imputation - rate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Is not calculated |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.3.5. Model assumption error | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The design weights were calculated according to the sample design where all local units within the same stratum having equal design weights. The design weights were adjusted using the data of response level in each stratum. Weight calibrations were based on the number of employees in survey 2-Labour of 2010. Weight calibration is carried out in merged NACE groups basing on two indicators (number of employees and number of statistical units) in a way ensuring that value of local unit final weights >=1. In 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 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 local unit. For each stratum i the inclusion probability of i-th employee in i-th primary sampling unit is
ni– the total number of respondents local units in i-th stratum in the first sampling stage; Ni – the total number of local units in stratum i in the first sampling stage; ki – the number of employees in sample from selected local unit; Ki – the total number of employees in local unit in the second sampling stage. |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.4. Seasonal adjustment | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[Not requested] |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.5. Data revision - policy | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
No. |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.6. Data revision - practice | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
No data revision. |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6.6.1. Data revision - average size | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[Not requested] |
|
|||
7.1. Timeliness | |||
The length of time between the collection release and the reference period in Latvia was 23 months. |
|||
7.1.1. Time lag - first result | |||
[Not requested] |
|||
7.1.2. Time lag - final result | |||
[Not requested] |
|||
7.2. Punctuality | |||
Design of the questionnaire was finished in October 2014. Sample was drawn in November 2014. The last corrections of the weights were made in June 2016. The deadline for delivering the questionnaires to the statistical office was 2 March 2015. Part of the respondents asked to extend the submission deadline, because in March and April enterprises are balancing their accounts, therefore it was allowed to deliver the questionnaires later. Rest of enterprises received reminders. At the same time, statisticians contacted enterprises also by phone. The validation of the micro data was finished in October 2015. Afterwards, the data were tested also at macro levels, and the files to be transmitted to Eurostat were prepared in June 2016. The data of the SES 2014 were transmitted to Eurostat on 30 June 2016. The collection of statistics “Results of the Structure of Earnings Survey 2014” was published in December 2016. |
|||
7.2.1. Punctuality - delivery and publication | |||
[Not requested] |
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8.1. Comparability - geographical | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
There are no differences between the Latvian and European concepts. |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8.1.1. Asymmetry for mirror flow statistics - coefficient | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[Not requested] |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8.2. Comparability - over time | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In Latvian SES 2002 the enterprises were used as sampling units instead of local units. Sampling unit used in SES 2014 (as well as in 2006 and 2010) was local unit, whereas in 2002 it was enterprise, and indicators (wages and salaries, number of employees) were calculated in breakdown by regions of Latvia. Unlike in previous survey, SES 2014 included employees working in ISCO-08 Major group 0 “Armed forces occupations”, and SES 2014 was coded according to the new ISCED -2011. |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8.2.1. Length of comparable time series | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[Not requested] |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8.3. Coherence - cross domain | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Comparison of the values of the variable “The annual income of the employee” obtained from the data base of the State Revenue Service with values of the variable "Gross earnings in the reference month" obtained from SES 2010 shows that for 80 % of employees the two variables differ no more than by 1 % and 3.5 % of employees have difference not exceeding 5 %.
Therefore the data of the State Revenue Service served as a source to calculate and input values of variable B41 (Gross annual earnings), B411 (Annual bonuses and allowances not paid at each pay period)andB31 (Number of weeks to which the gross annual earnings relate)for the respondents in the size class “1–9”. |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8.4. Coherence - sub annual and annual statistics | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[Not requested] |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8.5. Coherence - National Accounts | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
[Not requested] |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8.6. Coherence - internal | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Gross annual earnings in the reference year (2014) per employee (code 4.1) constituted EUR 10771. Wages and salaries per employee of the NA constituted EUR 11011.
The methodological disparities between the “Gross annual earnings in the references year, expressed per employee” (SES) and “Wages and salaries per employee”(National Accounts) are following:
- NA includes self-employed persons, but SES does not; - When calculating the wages in SES per employee the wages are adjusted to the full-time basis. In National Accounts this procedure is not done; - in National Accounts compensation of employees is adjusted based on the non-registered employment, adjustment of minimum wages in small and micro enterprises, adjustment of underreported wages and adjustment of tips.
It is found that in many activities the surveyed enterprises declare to pay average wages below the legal minimum wage. However, it is known that actual wages are not below the legal minimum. This NA adjustment recalculates average compensation per employee based on the assumption that it is not below the legal minimum wage. For the adjustment of the calculation for underreported wages the calculated wages and salaries in cash and experts' assumption on the amount of underreported wages in each sector are used. Experts' evaluations are based on the economic indicators of each sector, also taking into account the SRS and EU-SILC data. Experts of National Accounts set the percentage for underreported wages for each NACE sector. Adjustment of tips is estimated for output and NACE sections H, I, R and S. Tips are calculated based on the enterprise turnover data and experts' assumptions. The experts' assumption show that tips on average account for 0.05 % of the enterprise's turnover, both in NON-financial corporations (S.11), and Households (S.14). |
|
|||
9.1. Dissemination format - News release | |||
News releases on-line. |
|||
9.2. Dissemination format - Publications | |||
The SES information is available in the collection of statistics “Results of the Structure of Earnings Survey 2014”, which is also available in CSB Information Centre and National Library of Latvia and on the CSB webpage. |
|||
9.3. Dissemination format - online database | |||
Please consult free data on-line or contact contact person. |
|||
9.3.1. Data tables - consultations | |||
[Not requested] |
|||
9.4. Dissemination format - microdata access | |||
No information. |
|||
9.5. Dissemination format - other | |||
No information. |
|||
9.6. Documentation on methodology | |||
http://www.csb.gov.lv/en/statistikas-temas/metodologija/structure-earnings-survey-36972.html |
|||
9.7. Quality management - documentation | |||
In order to reduce the measurement errors the questionnaire was supplemented with detailed instructions. In the validation program for each enterprise the data of the SES survey were compared with the variables from other surveys. Web questionnaire has validation control, and it generates a short description of errors in a dialog box. For some categorical variables a drop-down menu of the dialog box was used. If it was not possible to correct incorrect values, or if it was not possible to get the data for variables not filled-in, the questionnaire was considered as not delivered and the weights were recalculated. One of the steps to escape input of erroneous or incomplete information into the IT applications and database covered development of data entry program that included wide range of logical controls. Each questionnaire was validated according the validation program. The validation program consists of arithmetical and logical controls. The controls ensuring all-round data verification cover: - reporting of arithmetical, logical mistakes; - comparison with the data of regular survey on labour; - revealing of data input errors; - identification of deviations from average indicators. Every statistician has a definite number of enterprises from which the questionnaires have to be collected and verified. If any answer on the questionnaire’s variance was missed or (according to the rules implemented in the data entry programme) filled incorrectly, the responsible person contacted the enterprise once more and made the necessary changes in the questionnaire. The validation should be done in two ways: - individually for each questionnaire (after the data entry); - for the entered questionnaires of the regional offices and the sections of the central office involved in data collecting. All expressions not filed could be seen on screen or in printed form. The variables that have been corrected most often are: - share of full-time or part-time normal hours (variable 2.7.1.) worked by employees in PT does not correspond to the share of number of normal hours worked by employee in the local unit in FT; - collective pay agreement (variable 1.5) does not correspond to any of 5 categories of agreements; wages and salaries in October 2014 included variables on whole 2014. |
|||
9.7.1. Metadata completeness - rate | |||
[Not requested] |
|||
9.7.2. Metadata - consultations | |||
[Not requested] |
|
|||
Cost associated with the collection and production of a statistical product is not calculated. Burden per respondent constituted 5 hours. |
|
|||
|
|||
11.1. Confidentiality - policy | |||
Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society. |
|||
11.2. Confidentiality - data treatment | |||
The Latvian Law of Statistics. |
|
|||
No comments. |
|
|||
|
|||