Employment and unemployment (Labour force survey) (employ)

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: National Institute of Statistics


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

National Institute of Statistics
1.2. Contact organisation unit

Population and external migration unit

Demography and Social Statistics Directorate.
1.5. Contact mail address

16th Libertăţii Avenue, District 5

Bucharest

Romania

Postcode: RO-050706


2. Metadata update Top
2.1. Metadata last certified

28 June 2024
2.2. Metadata last posted

28 June 2024
2.3. Metadata last update

28 June 2024


3. Statistical presentation Top
3.1. Data description

 The EU Labour Force Survey (EU-LFS) is the largest European household sample survey. Its main statistical objective is to classify the population of working age (15 years and over) into three mutually exclusive and exhaustive groups: employed persons, unemployed persons, which together represent the ‘labour force’, and the people outside the labour force.

 

 

Abbreviation

Explanation

CV

Coefficient of variation (or relative standard error)

Y/N

Yes / No

H/P

Households/Persons

M?

Member State doesn’t know

NA

Not applicable/ Not relevant

UNA

Information unavailable

NR

Non-response: Member State doesn’t answer to Eurostat request for information. Blank is allowed only in boxes with comments

LFS

Labour Force Survey

NUTS

Nomenclature of territorial units for statistics or corresponding statistical regions in the EFTA and candidates countries

 
3.2. Classification system
  • - Classification of Occupations 2008 (ISCO 08)
  • - Classification of economic activities Rev. 2 (NACE Rev. 2)
  • - International Standard Classification of Education 2011 (ISCED 2011)
3.3. Coverage - sector

All country is covered.

All economic sectors are covered.
3.3.1. Coverage

 

Individuals living in private households in Romania.

 

 
3.3.2. Inclusion/exclusion criteria for members of the household

 Are considered memebers of the household those persons who:

  • - are usually resident at the address
  • - provide themselves with food and other essentials for living
  • - are sharing income or household expenses 
3.3.3. Questions relating to labour status are put to all persons aged

Questions relating to employment status are put to all persons aged 15-89 years.
3.4. Statistical concepts and definitions

The variables covered are those specified in Regulation 2019/2240 and Regulation 2020/1642.
3.4.1. Household concept

Housekeeping concept is used.
3.4.2. Definition of household for the LFS

 Persons living regularly together in the same dwelling and sharing income, household expenditures, food and other essentials for living. A person who lives alone or occupies a separate room in a dwelling (eg tenant) but who declares that he or she does not join with any of the other occupants of the housing unit to form part of a multi-person household is considered to be a single-person household.
3.4.3. Population concept

 Ussualy resident population (12+ months)  in private households in Romania
3.4.4. Specific population subgroups

 

Population concept 

Specific population subgroups

Primary/secondary students

Tertiary students

People working out of family home for an extended period for the purpose of work

People working away from family home but returning for weekends

Children alternating two places of residence

 Ussualy resident population in private households in Romania

 Family home

 Term address (if they live in a private household; otherwise - familly home)

 The dwelling where they spend most of the time

 Family home

 The dwelling where they spend most of the time and, in case of equal time, the place where the child is found during the reference week 
3.5. Statistical unit

 The data collectionis carried out in for a sample of private households; all persons belonging to  the selected private households who have their usual residence in that Member State are surveyed.
3.6. Statistical population

  All persons having their usual residence in private households in Romania.

 
3.7. Reference area

Not requested for the LFS quality report.
3.8. Coverage - Time

Data is available from 1996.
3.9. Base period

Not requested for the LFS quality report.


4. Unit of measure Top

The LFS produces different indicators with different measures:

  • Numbers;
  • Percentages.

 


5. Reference Period Top

Data collection refers to a certain reference week, to which the observation unit has been assigned prior to the fieldwork (fixed week). 

Reference period (for most of the questions) was the week, from Monday to Sunday, before the registration.


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

EU level:

The EU-LFS is based on European legislation since 1973. The principal legal acts, currently in force, are the Regulation (EU) 2019/1700 establishing a common framework for European social statistics, the Commission Delegated Regulation (EU) 2020/256 establishing a multiannual rolling planning, the Commission Implementing Regulation (EU) 2019/2181 regarding items common to several datasets, and the Commission Implementing Regulation (EU) 2019/2240 which specifies the implementation rules, technical items and contents of the EU-LFS.

 

National level:

Law of official statistics 226/2009 and Annual National Statistical Plan - approved by Government Decision 161/2023.
6.2. Institutional Mandate - data sharing

Member States make available to the Commission (Eurostat) the data and metadata required under the Regulation 2019/2240 using the statistical data and metadata exchange standards specified by the Commission (Eurostat) and the Single Entry Point.

The Commission (Eurostat), in cooperation with Member States, publish the aggregated data on the Commission (Eurostat) website, in a user‐friendly way, as soon as possible and within six months of the transmission deadline for annual and infra‐annual data collection.

 


7. Confidentiality Top
7.1. Confidentiality - policy

EU level:

Regulation (EU) No 557/2013 17 June 2013 as regards access to confidential data for scientific purposes and repealing Commission Regulation (EC) No 831/2002. It implements the Regulation (EC) No 223/2009 of the European Parliament and of the Council on European Statistics, which sets criteria for confidentiality of data.

 

National level:

According to the national statistical law (no. 226/2009) and statistical standard rules on confidentiality, which are in line with European legislation (Council Regulation no. 223/2009 and Commission Regulation no. 557/2013).
7.2. Confidentiality - data treatment

According to the national statistical law (no. 226/2009) and statistical standard rules on confidentiality, which are in line with European legislation (Council Regulation no. 223/2009 and Commission Regulation no. 557/2013).

Data is released after checking it does not reveal confidential data. Direct identifiers and any other identification data are removed .


8. Release policy Top
8.1. Release calendar

 EU level:

(1) Pre‐checked microdata without direct identifiers are sent to Eurostat, according to the following two‐

step procedure:

(a) during the first three years of implementation of this Regulation, as provided for in Article 11(4):

— for quarterly data: within ten weeks of the end of the reference period,

— for other data: by 31 March of the following year;

(b) from the fourth year of implementation as follows:

— for quarterly data: within eight weeks of the end of the reference period,

— for other data regularly transmitted: by 15 March of the following year,

— for other data concerning ad‐hoc subjects: by 31 March of the following year.

Where those deadlines fall on a Saturday or Sunday, the effective deadline shall be the following Monday. The detailed topic income from work may be transmitted to the Commission (Eurostat) within fifteen months of the end of the reference period.

 

(2) Aggregated results for the compilation of monthly unemployment statistics within 25 days of the reference or calendar month, as appropriate. If the data are transmitted in accordance with the ILO definition, that deadline may be extended to 27 days.

 

National level:

Both, press release and publication are announced in advance on INS website. Online database is updated at deadlines specified in National Statistical Programme.
8.2. Release calendar access

Publications catalogue - on INS website:

https://insse.ro/cms/files/catalog/Catalogul_publicatiilor_INS_2023.pdf

Press release calendar - on INS website:

https://insse.ro/cms/files/catalog/calendar-comunicate-de-presa-2023.pdf

 
8.3. Release policy - user access

EU level:

European social statistics are provided on the basis of equal treatment of all types of users, such as policy‐ makers, public administrations, researchers, trade unions, students, civil society representatives including non‐ governmental organisations, and citizens, which can access statistics freely and easily through Commission (Eurostat) databases on its website and in its publications.

 

National level:

Both, press release and publication are available in electronic format on INS Website. Standard tables are avilable in the online database. Results are disseminated to all users at the same time.

Anonimized microdata are available for researcher.


9. Frequency of dissemination Top

First release - is diseminated 75 days after the end of the reference quarter, quarterly data are available in online database 130 days after te end of the reference quarter, yearly publication is diseminated 6 months after the end of the reference year, ad hoc module results are diseminated 10 months after the end of the reference year.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

Press releases are published regularly  - according to press release calendar - https://insse.ro/cms/en/comunicate-de-presa-view

 

 
10.2. Dissemination format - Publications

Publications on LFS results (published in Romanian and English)  contain survey methodology and organisation, analysis (including graphs) and  tables with detailed data. It si published according to deadlines in publication catalogue.

https://insse.ro/cms/en/content/romanian-labour-force-employment-and-unemployment-2023-romanian

https://insse.ro/cms/en/content/romanian-labour-force-employment-and-unemployment-2023-english
10.3. Dissemination format - online database

Predefined tables are available in the online database.

 http://statistici.insse.ro:8077/tempo-online/#/pages/tables/insse-table

 
10.3.1. Data tables - consultations

Not requested for the LFS quality report.
10.3.2. Web link to national methodological publication

 LFS methodology is available in the online Methodological database:

http://80.96.186.4:81/metadata/viewStatisticalResearch.htm?researchId=552

 LFS methodology is available in the online publication Labour force in Romania:

https://insse.ro/cms/sites/default/files/field/publicatii/labour_force_in_romania_2023.pdf

 
10.3.3. Conditions of access to data

  Aggregated data available to general public.

 
10.3.4. Accompanying information to data

Questionnaire and survey methodology - available in methodological database on INS website.

Online database are accompanied by methodological explanations.
10.3.5. Further assistance available to users

 

 Further assistance available via  email through Data Dissemination Unit.

 

 
10.4. Dissemination format - microdata access

Anonymized data files for researchers will be available on request.
10.4.1. Accessibility to LFS national microdata (Y/N)

Y
10.4.2. Who is entitled to the access (researchers, firms, institutions)?

Direct acces to microdata (anonymised confidential data) is only granted for scientific research projects under European and national legislation in the field, through a microdata access contract.
10.4.3. Conditions of access to data

 INS grants access to statistical microdata only for scientific research purposes, as follows:

  • through standard contract regarding the access and use of microdata
  • through the Safe Centre located at the NIS headquarter 
10.4.4. Accompanying information to data

Questionnaire and survey methodology - available in methodological database on INS website.

Anonimized microdata for researchers are accompanied by database description.
10.4.5. Further assistance available to users

 Further assistance available via  email through Data Dissemination Unit.

 
10.5. Dissemination format - other

Not requested for the LFS quality report.
10.5.1. Metadata - consultations

Not requested for the LFS quality report.
10.6. Documentation on methodology

See below.
10.6.1. Metadata completeness - rate

Not requested for the LFS quality report.
10.6.2. References to methodological notes about the survey and its characteristics

 Metadata databse on INS site (http://80.96.186.4:81/metadata/public.htm?locale=en)

 LFS methodology is available in the online publication Labour force in Romania:

 https://insse.ro/cms/sites/default/files/field/publicatii/labour_force_in_romania_2023.pdf
10.7. Quality management - documentation

Quality reports are available in INS website: https://insse.ro/cms/en/content/quality-reports


11. Quality management Top
11.1. Quality assurance

Not requested for the LFS quality report.
11.2. Quality management - assessment

Not requested for the LFS quality report.


12. Relevance Top
12.1. Relevance - User Needs

In Romania, official statistics is under the responsibility of National Institute for Statistics.  In order to ensure the objectivity, transparent and scientific, character of the methodologies, indicators and classifications used in statistics, and to ensure that statistical programme cover all user requirements, the National Statistics Council was established.
The representatives of the Council meet quarterly or more frequent when is necessary in working groups by statistical fields. During these meetings National Institute for Statistics is receiving a strong feed-back from the users in terms of the results already disseminated (including the level of details, breakdowns etc.) and the requests for further needed information to be included in next statistical inquiries.
12.2. Relevance - User Satisfaction

Not requested for the LFS quality report.
12.3. Completeness

See bellow
12.3.1. Data completeness - rate

Not requested for the LFS quality report.
12.3.2. NUTS level of detail

See bellow
12.3.2.1. Regional level of an individual record (person) in the national data set

 NUTS3
12.3.2.2. Lowest regional level of the results published by NSI

NUTS2
12.3.2.3. Lowest regional level of the results delivered to researchers by NSI

usually NUTS2


13. Accuracy Top
13.1. Accuracy - overall

Not requested for the LFS quality report.
13.2. Sampling error

See bellow
13.2.1. Sampling error - indicators

See bellow
13.2.1.1. Coefficient of variation (CV) Annual estimates %

See table 13.2.1.1 in Annex File
13.2.1.2. Coefficient of variation (CV) Annual estimates at NUTS-2 Level  %

See table 13.2.1.2  in Annex File.
13.2.1.3. Description of the assumption underlying the denominator for the calculation of the CV for the employment rate

The denominator in the calculation of the employment rate is in fact the 'known' total of population aged 20-64 used in calibration. Thus, there is no sampling variability
13.2.1.4. Reference on software used

ReGenesees package in R

R Core Team (2022). R: A language and environment for statistical  computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.

Zardetto D (2015). “ReGenesees: an Advanced R System for Calibration, Estimation and Sampling Error Assessment in Complex Sample Surveys.” Journal of Official Statistics, 31(2), 177 - 203. https://sciendo.com:443/article/10.1515/jos-2015-0013.

Zardetto D (2022). “ReGenesees: R Evolved Generalized Software for Sampling Estimates and Errors in Surveys.” R package version 2.2
13.2.1.5. Reference on method of estimation

Taylor-linearization
13.3. Non-sampling error

Not requested for the LFS quality report.
13.3.1. Coverage error

See table 13.3.1 in Annex File.
13.3.1.1. Over-coverage - rate

See in the 13.3.1. Coverage error section in Annex.
13.3.1.2. Common units - proportion

Not requested for the LFS quality report.
13.3.1.3. Misclassification errors – detection of mismatches of identifiers

See in the 13.3.1. Coverage error section in Annex.
13.3.1.4. Misclassification errors –description of the main misclassification problems encountered in collecting the data and the methods used to process misclassifications

See table 13.3.1.4  Annex File.
13.3.2. Measurement error

 See below.
13.3.2.1. Errors due to the media (questionnaire)

See table 13.3.2.1 in Annex File.
13.3.2.2. Main methods of reducing measurement errors

See table 13.3.2.2 in Annex File.
13.3.3. Non response error

Not requested for the LFS quality report.
13.3.3.1. Unit non-response - rate

See below.
13.3.3.1.1. Methods used for adjustments for statistical unit non-response

See table 13.3.3.1.1  in Annex File.
13.3.3.1.2. Non-response rates. Annual averages (% of the theoretical yearly sample)

See table 13.3.3.1.2 in Annex File.
13.3.3.1.2.1. Non-response rates. Annual averages (% of the theoretical yearly sample) – NUTS-2 level

See table 13.3.3.1.2.1 in Annex File.
13.3.3.1.3. Units who did not participate in the survey

See table 13.3.3.1.3  in Annex File.
13.3.3.2. Item non-response - rate

See bellow
13.3.3.2.1. Item non-response (INR) in % * - Quarterly data (Compared to the variables defined by the Commission Regulation (EC) No 2019/2240)

See table 13.3.3.2.1  in Annex File.
13.3.3.2.2. Item non-response (INR) in % * - Annual data (Compared to the variables defined by the Commission Regulation (EC) No 2019/2240)

See table 13.3.3.2.2 in Annex File.
13.3.3.2.3. Item non-response for INCGROSS

See table 13.3.3.2.3 in Annex File.
13.3.4. Processing error

See bellow
13.3.4.1. Editing and imputation process

See table 13.3.4.1  in Annex File.
13.3.4.2. Outliers treatment and other data editing procedures for INCGROSS

See table 13.3.4.2 Annex File.
13.3.5. Model assumption error

Not requested for the LFS quality report.


14. Timeliness and punctuality Top
14.1. Timeliness

See table 14.1. in Annex File.
14.1.1. Time lag - first result

Not requested for the LFS quality report.
14.1.2. Time lag - final result

Not requested for the LFS quality report.
14.2. Punctuality

See bellow
14.2.1. Punctuality - delivery and publication

Not requested for the LFS quality report.


15. Coherence and comparability Top
15.1. Comparability - geographical

See bellow
15.1.1. Asymmetry for mirror flow statistics - coefficient

Not requested for the LFS quality report.
15.1.2. Divergence of national concepts from European concepts

 

(European concept or National proxy concept used) List all concepts where any divergences can be found

 

 

Is there any divergence between the national and European concepts for the following characteristics?

 N

 

Definition of resident population (*)

 N

 

Identification of the main job (*)

 N

 

Employment

 N 

 

Unemployment

 N 

 

 

 

 
15.2. Comparability - over time

See bellow
15.2.1. Length of comparable time series

See bellow
15.2.1.1. Length of time series

Data is available starting with 1996.
15.2.1.2. Length of comparable time series

There are several breaks in RO-LFS data.

Breaks due to the transition to a quarterly continuous survey:

  • 1998-2004: Most or all weeks of the quarter, not evenly spread
  • 2005: Uniformly spread over 12 weeks each quarter
  • 2006+: Uniformly spread over all weeks of each quarter

In 2002, implementation of new concepts resulted in lack comparability with previous years due to significant changes in employment and unemployment definitions.

Starting with 2003, variables relating to participation in education and to highest completed education were revised by Commission Regulation (EC) No 2104/2002. EDUC4WN is derived from EDUCSTAT and COURATT from 2003 or 2004 onwards.

There are also breaks due to census revision of population figures used for calibration (2010)  as well as general breaks due to revised classifications/regulations (NACE, ISCO, ISCED)
15.2.2. Changes at CONCEPT level introduced during the reference year and affecting comparability with previous reference periods (including breaks in series)

See table 15.2.2  in Annex File.
15.2.3. Changes at MEASUREMENT level introduced during the reference year and affecting comparability with previous reference periods (including breaks in series)

See table 15.2.2  in Annex File.
15.3. Coherence - cross domain

Not requested for the LFS quality report.
15.3.1. Coherence - sub annual and annual statistics

Not requested for the LFS quality report.
15.3.2. Coherence - National Accounts

 

Description of difference in concept

Description of difference in measurement

Give an assessment of the effects of the differences

Give references to description of differences

Total employment

 NA data uses domestic concept;

  In NA: LFS is the main data source; LFS data are adjusted for domestic concept with administrative data (from Ministry of Labour, Ministry of Internal Affairs, Ministry of External Affairs) with:
-add the non-residents working in Romanian embassies abroad and subtract ones working in foreign embassies in Romania;
-add non-resident workers and subtract residents working abroad;
- net immigrants in Romania.

  No important effects are imposed by differences;

 Annual National Accounts Brochure

Total employment by NACE

 NA data uses domestic concept;

NA uses the concept of "homogenous industry" (both main and secondary activities are included and are expressed in FTEs)

 Adjustments on LFS data by NACE due to reconciliation with other data source, at two digits NACE:
- SBS is used for mining and manufacturing;
- accounting statements for financial intermediation;
- government statistics data for real estate and business services, public administration, other collective services.

 No important effects are imposed by differences by total, but increased quality of the NA data in terms of distribution by economic activities is achieved because of using more reliable data sources

 Annual National Accounts Brochure

Number of hours worked

  NA uses concept of actual working hours, in full and part time jobs in main and secondary jobs. 

 Total hours-worked from LFS (mainand secondary activities) are adjusted with:
hours not-worked by women in parental leave

 No important differences, but higher then for LFS since all (main and seconday) activities are included

 Annual National Accounts Brochure
15.3.3. Which is the use of LFS data for National Account Data?

 

Which is the use of LFS data for National Account Data?   

Country uses LFS as the only source for employment in national accounts.

Country uses mainly LFS, but replacing it in a few industries (or labour status), on a case-by-case basis

Country doesn’t make use of LFS, or makes minimal use of it

Country combines sources for labour supply and demand giving precedence to labour supply sources (i.e. LFS)

Country combines sources for labour supply and demand not giving precedence to any labour side

Country combines sources for

labour supply and demand

giving precedence to labour

demand sources (i.e. employ-

ment registers and/or enterprise

surveys)

 Y

 N

 N

 N

 N

 N
15.3.4. Coherence of LFS data with Business statistics data

 

 

Description of difference in concept

Description of difference in measurement

Give an assessment of the effects of the differences

Give references to description of differences

Total employment

 If an employer also has working contract with his/her own enterprise, he/she will be considered as employee in SBS but as employer in LFS

 SBS data: beside survey data, administrative sources (mainly balance sheets) and other statistical surveys data used as well as methods of estimations are applied

  LFS estimates on employment (in economic activities covered by both statistics, i.e. from B to N sections, excluding K) is higher than SBS estimates (but LFS comprises own-account workers as well)

 No special documentation is produced for both LFS and SBS.
For SBS, more detailed methodological information can be retrieved on INS website

Total employment by NACE

 SBS does not comprise budgetary sector (public administration, health, education) and part of services

 Enterprise' main economic activity is considered - in SBS (as against local unit economic activity in LFS)

 UNA

 UNA

Number of hours worked

 SBS comprise data on hours worked only by employees. 

  Enterprise' main economic activity is considered - in SBS (as against local unit economic activity in LFS)

 UNA

 UNA
15.3.5. Coherence of LFS data with registered unemployment

 

Description of difference in concept

Description of difference in measurement

Give references to description of differences

 Registered unemployment is measured according to national legislation and differs considerably from ILO unemployment.

 LFS unemployment - survey data; Registered unemployment - registered data

 UNA
15.3.6. Assessment of the effect of differences of LFS unemployment and registered unemployment

Give an assessment of the effects of the differences

Overall effect

Men under 25 years

Men 25 years and over

Women under 25 years

Women 25 years and over

Regional distribution (NUTS-3)

ILO unemployment

 65915 212440 38094 139136  UNA

 Registered unemployment

 32543 90561 15780 96752

 UNA
15.3.7. Comparability and deviation for the INCGROSS

See table 15.3.7 in  Annex File.
15.4. Coherence - internal

Not requested for the LFS quality report.


16. Cost and Burden Top

See bellow
16.1. Number of staff involved in the LFS in central and regional offices, excluding interviewers. Consider only staff directly employed by the NSI.

Not requested for the LFS quality report.
16.2. Duration of the interview by Final Sampling Unit

13 minutes (core questionnaire + regular module)


17. Data revision Top
17.1. Data revision - policy

See bellow
17.1.1. Is the general data revision policy fully compliant with the ESS Code of Practice principles? (in particular see the 8th principle) (Y/N)

Y
17.1.2. Is the country revision policy compliant with the ESS guidelines on revision policy for PEEIs? (ref. http://ec.europa.eu/eurostat/documents/3859598/5935517/KS-RA-13-016-EN.PDF)

Y
17.2. Data revision - practice

Not requested for the LFS quality report.
17.2.1. Data revision - average size

Not requested for the LFS quality report.


18. Statistical processing Top
18.1. Source data

See bellow
18.1.1. Sampling design & Procedure frame

 

Sampling design (scheme; simple random sample, two stage stratified sample, etc.)

Base used for the sample (sampling frame) 

Last update of the sampling frame (continuously updated or date of the last update)

Primary sampling unit (PSU) 

 Final sampling unit (FSU)

Date of sample selection

  The sampling plan is a two-stage stratified sample.

  Because of the lack of appropriate registers (dwelling register, population register etc), the household surveys carried out by NSI-Romania are based on the repeated use of a master sample, which involves further the use of multi-stage sampling design.

 After Census 2011

 The primary sampling unit, corresponding to the selection of the master sample, is a group of census section

  The secondary (ultimate) sampling unit, corresponding to the selection of the survey sample, is the dwelling.

2022
18.1.2. Sampling design & Procedure method

First (and intermediate) stage sampling method

  Final stage sampling method

Stratification (variable used)

Number of strata (if strata change quarterly, refer to Q4).

Rotation scheme (2-2-2, 5, 6, etc.)

 In the first stage, a stratified random sample of 792 areas, Primary Sampling Units (PSUs), was designed after the 2011 Census, This is the Multifunctional Sample of Territorial Areas, so called the master sample.
EMZOT. The EMZOT sample has 450 PSUs selected from urban area and 342 PSUs selected from rural area.

 In the second stage, the dwellings are systematically selected from the initial sample of PSUs. The final quarterly  sample consists of 28512 dwellings units. All households within each dwelling are included.

  Stratification concerns only the first stage, using as stratification criteria the residence area(urban/rural) and county (NUTS3- level).

 There are 88 strata.

 Each sampling unit is observed for four quarters according to the rotation pattern 2-(2)-2.
18.1.3. Yearly sample size & Sampling rate

See table 18.1.3 in  Annex File.
18.1.4. Quarterly sample size & Sampling rate

See table 18.1.4  in Annex File.
18.1.5. Use of subsamples to survey structural variables (wave approach)

Only for countries using a subsample for yearly variables

 Wave(s) for the subsample

 Are the 30 totals for ILO labour status (employment, unemployment and inactivity) by sex (males and females) and age groups (15-24, 25-34, 35-44, 45-54, 55+) between the annual average of quarterly estimates and the yearly estimates from the subsample all consistent? (Ref.: Commission Reg. 2019/2240) (Y/N)

If not please list deviations

List of yearly variables for which the wave approach is used (Ref.: Commission Reg. 2019/2240, Annex I)

 Wave approach is not used for yearly nor biannually variables. Only 8-year variables are collected on a subsample that consist of wave 2 in each quarter.

 NA

 NA

 NA
18.2. Frequency of data collection

Not requested for the LFS quality report.
18.3. Data collection

 

Data collection methods: brief description

Use of dependent interviewing (Y/N)?

In case of Computer Assisted Methods adoption for data collection, could you please indicate which software is used?

  The data are collected only by face-to-face interviews (CAPI). 

 N

 Survey Solutions
18.3.1. Final sampling unit collected by interviewing technique (%)

See table 18.3.1 in Annex File.
18.3.2. Info from registers

Are any LFS data collected from registers (Y/N)?

If Yes, please indicate which

registers.

 N

 NA
18.3.3. Description of data collection and reference period for INCGROSS

See table 18.3.3 in Annex File.
18.3.4. Description of percentiles and bands used for INCGROSS

See table 18.3.4  in Annex File.
18.4. Data validation

 

A large numbers of checks are inlcuded in the electronic questionnarie, thus part of the validation take place during data collection. After data collection, arithmetic and qualitative controls are used in the validation process, including comparison with other data. Before data dissemination, the internal coherence of the data is checked.

 
18.5. Data compilation

Not requested for the LFS quality report.
18.5.1. Imputation - rate

See table 18.5.1. in Annex File.
18.5.1.1. Editing and imputation process for INCGROSS

See table 18.5.1. in Annex File.
18.5.2. Brief description of the method of calculating the quarterly core weights

Brief description of the method of calculating the quarterly core weights

Is the sample population in private households expanded to the reference population in private households? (Y/N)

If No, please explain which population is used as reference population

Gender is used in weighting (Y/N)

Which age groups are used in the weighting (e.g., 0-14, 15-19, ..., 70-74, 75+)?

Which regional breakdown is used in the weighting (e.g. NUTS 3)?

Other weighting dimensions

 The weights are calculated in three steps. The first step assigns the inverse of the selection probabilities to each sampled dwelling unit. The second step adjusts for non-response, categorising the responding dwelling units by the following characteristics: county (NUTS 3) and urban/rural residency. The third and final steps consists of calibrating the secondary weights to the best latest available population totals by region / urban-rural residency, gender, 14 age groups and the  households totals by region, using the  ReGenesees package  (Zardetto, 2015, 2022) in R (R Core Team, 2022).

 Y

 NA

 Y

 00-14, 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75 and over for all the regions, except Bucuresti-Ilfov,where we used more aggregated age groups (0-14, 15-44, 45-64, 65 and over) 

 NUTS2 

 Residential area  (urban/rural)
18.5.3. Brief description of the method of calculating the yearly weights (please indicate if subsampling is applied to survey yearly variables)

Brief description of the method of calculating the yearly weights (please indicate if subsampling is applied to survey yearly variables)

Gender is used in weighting (Y/N)

Which age groups are used in the weighting (e.g., 0-14, 15-19, ..., 70-74, 75+)?

Which regional breakdown is used in the weighting (e.g. NUTS3)?

Other weighting dimensions

  Average of the quarterly core weights.

 NA

 NA

 NA

 NA
18.5.4. Brief description of the method of calculating the weights for households

Brief description of the method of calculating the weights for households

Any external reference for number of households etc.?

Which factors at household level are used in the weighting (number of households, household size, household composition, etc.)

Which factors at individual level are used in the weighting (gender, age, regional breakdown etc.)?

Are the household weights identical for all household members? (Y/N)

 See description for quarterly core weights

 Y

 Number of households, household size

 Gender, 5 years age groups (0-14, 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75 years old), area of residence (urban/rural), regional(NUTS2-level) breakdown

 Y
18.6. Adjustment

Not requested for the LFS quality report.
18.6.1. Seasonal adjustment

 

Do you apply any seasonal adjustment to the LFS Series? (Y/N)

If Yes, is your adopted methodology compliant with the ESS guidelines on seasonal adjustment? (ref. ESS guidelines on seasonal adjustment - Products Manuals and Guidelines - Eurostat (europa.eu) (Y/N)

If Yes, are you compliant with the Eurostat/ECB recommendation on Jdemetra+ as software for conducting seasonal adjustment of official statistics. (ref. http://ec.europa.eu/eurostat/web/ess/-/jdemetra-officially-recommended-as-software-for-the-seasonal-adjustment-of-official-statistics) (Y/N)

If Not, please provide a description of the used methods and tools

 N

 NA

 NA

 NA


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Annexes Top
LFS ANNEX [LFS_QR_Multiple+1.0_upd]