Employment and unemployment (Labour force survey) (employ)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: National Institut of Statistics


Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. 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 Institut of Statistics
1.2. Contact organisation unit

Demography and Social Statistics Department
1.5. Contact mail address

Institutul National de Statistica
Bd Libertatii nr.16 sector 5,
Bucuresti


2. Statistical presentation Top
Please take note of the abbreviations used in the report 
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
2.1. Data description
Coverage   
Coverage Household concept Definition of household for the LFS Inclusion/exclusion criteria for members of the household Questions relating to employment status are put to all persons aged ...
The whole country is covered and only the private households are surveyed. The target population includes persons, resident in Romania. Housekeeping Members living regularly together in the same dwelling, linked (usually) by family ties and sharing income, household expenditures, food and other essentials for living. The survey covers all members of the selected households including the persons absent from home for a longer period, living inside the country or abroad (for the latter, only if the total duration of staying abroad is less than 12 months), if they are preserving family relations with the household to which they belong, such as:
- pupils and students away for study,  
- persons left for work,
- prisoners,
- persons temporary in hospitals or sanatoria for medical cure.
Persons permanently living in collective units (elderly, handicapped, workers hostels, sanatoria etc.) are not included in the survey.		  15 years and over

 

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
Usual residence (12 months) Family home Family home Family home  Family home Family home

 

 

Reference week
Fixed week (data collection refers to one reference week, to which the observation unit has been assigned prior to the fieldwork) Rolling week (data collection always refers to the week before the interview)                                  
 Reference period (for most of the questions) was a predefined week, from Monday to Sunday. In most of the cases the interview was carried out in the week following the reference week. Starting with 1996, the reference weeks are evenly spread throughout entire year.  NA
2.2. Classification system

[not requested for the LFS quality report]
2.3. Coverage - sector

[not requested for the LFS quality report]
2.4. Statistical concepts and definitions

[not requested for the LFS quality report]
2.5. Statistical unit

[not requested for the LFS quality report]
2.6. Statistical population

[not requested for the LFS quality report]
2.7. Reference area

[not requested for the LFS quality report]
2.8. Coverage - Time

[not requested for the LFS quality report]
2.9. Base period

[not requested for the LFS quality report]


3. Statistical processing Top
3.1. Source data
Sampling design & procedure
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)
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.  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.

 

Sampling design & procedure
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 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.

 

Yearly sample size & Sampling rate
Overall theoretical yearly sampling rate Size of the theoretical yearly sample
(i.e. including non-response) (i.e. including non-response)
The overall sampling rate, estimated as ratio between number of sampled dwellings, after the two sampling stages, and number of dwellings at country level, is about 1.53 %. The size of the survey sample is 114048 dwellings per year.

  

Quarterly sample size & Sampling rate
Overall theoretical quarterly sampling rate Size of the theoretical quarterly sample
(i.e. including non-response) (i.e. including non-response)
 0.38%  ≈ 28512 dwellings

  

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. 430/2005, Annex I) (Y/N) If not please list deviations List of yearly variables for which the wave approach is used (Ref.: Commission Reg. 377/2008, Annex II)
 N  NA  NA  NA

 

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  SAS macro Calmar.  N  Total resident population  Y  Y  NUTS2  area of residence (urban/rural)

 

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. NUTS 3)? Other weighting dimensions
 Average of the quarterly core weights. No subsampling is carried out in the survey  NA  NA  NA  NA

 

Brief description of the method of calculating the weights for households 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.) Identical household weights for all household members? (Y/N)
 See description for quarterly core weights  Y  Number of households  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
3.2. Frequency of data collection

[not requested for the LFS quality report]
3.3. Data collection
Data collection methods: brief description Use of dependent interviewing (Y/N)? Participation is voluntary/compulsory?
 The data are collected only by face-to-face interviews (CAPI-PAPI). Data are collected with identical questionnaires through the whole year. The questionnaire is divided into 3 parts: dwelling questionnaire, individual questionnaire and continous education questionnaire.  N  Voluntary

 

Final sampling unit collected by interviewing technique (%)
CAPI CATI PAPI CAWI POSTAL - OTHER
 66%  NA  34% NA NA
3.4. Data validation

[not requested for the LFS quality report]
3.5. Data compilation

[not requested for the LFS quality report]
3.6. Adjustment

[not requested for the LFS quality report]


4. Quality management Top
4.1. Quality assurance

[not requested for the LFS quality report]
4.2. Quality management - assessment

[not requested for the LFS quality report]


5. Relevance Top
5.1. Relevance - User Needs
Assessment of the relevance of the main LFS statistics at national level (e.g. for policy makers, other stakeholders, media and academic research)
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 Statistica 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.
5.2. Relevance - User Satisfaction

[not requested for the LFS quality report]
5.3. Completeness
NUTS level of detail   
Regional level of an individual record (person) in the national data set Lowest regional level of the results published by NSI Lowest regional level of the results delivered to researchers by NSI Brief description of the method which is used to produce NUTS-3 unemployment and labour force data sent to Eurostat?
 NUTS3  NUTS2  usually NUTS2  3-year average from the LFS dataset is the method used to produce NUTS-3 unemployment and labour force data sent to Eurostat (to Unit of regional statistics)
5.3.1. Data completeness - rate

[not requested for the LFS quality report]


6. Accuracy and reliability Top
6.1. Accuracy - overall

[not requested for the LFS quality report]
6.2. Sampling error
Publication thresholds   
Annual estimates Annual estimates - wave approach 
(if different from full sample thresholds) 
 Limit below which figures cannot be published  Limit below which figures must be published with warning  Limit below which figures cannot be published Limit below which figures must be published with warning
 6500  6500-11499  NA  NA
6.2.1. Sampling error - indicators
Coefficient of variation (CV) Annual estimates
Sampling error - indicators - Coefficient of variation (CV). Standard Error (SE) and Confidence Interval (CI)       
  Number of employed persons Employment rate as a percentage of the population Number of part-time employed persons Number of unemployed persons Unemployment rate as a percentage of labour force Youth unemployment rate as a percentage of labour force Average actual hours of work per week(*)
  Age group: 20 - 64 Age group: 20 - 64 Age group: 20 - 64 Age group: 15 -74 Age group: 15 -74 Age group: 15 -24 Age group: 20 - 64
 CV 1.07 0.64 4.78  3.64  4.69  7.75  0.31 
 SE 87889 0.45  21960  16457  0.24  1.34  0.12 
 CI(**) 8023776-8368302  69.89-71.65 416731-502813  419509-484019  4.57-5.50 14.68-19.95  38.81-39.29 

 

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

 

Reference on software used: Reference on method of estimation:
 SAS  Taylor  expansion method

 

Coefficient of variation (CV) Annual estimates at NUTS-2 Level        
NUTS-2  CV of regional (NUTS-2) annual aggregates (in %)     
Regional Code  Region Number of employed persons Employment rate as a percentage of the population Number of part-time employed persons Number of unemployed persons Unemployment rate as a percentage of labour force Youth unemployment rate as a percentage of labour force Average actual hours of work per week(*)
    Age group: 20 - 64 Age group: 20 - 64 Age group: 20 - 64 Age group: 15 -74 Age group: 15 -74 Age group: 15 -24 Age group: 20 - 64 
RO11 Nord-Vest 2.78 1.58  11.50 9.13  11.96  16.60  0.50 
RO12 Centru 3.25 2.07 11.89 8.69 10.47 13.34 0.48 
RO21 Nord-Est 2.55 1.31  8.17  8.87  11.20  16.33  1.24 
RO22 Sud-Est 3.10 1.99  12.67 9.39 11.81  14.56 0.78 
RO31 Sud - Muntenia 2.39 1.67  9.81  7.39  9.60  13.72  0.81 
RO32 Bucuresti - Ilfov 3.47 1.43 29.23 14.20 17.46 36.34 0.46 
RO41 Sud-Vest -Oltenia 2.96 2.13  28.44  11.34  14.68  24.56  0.95 
RO42 Vest 4.10 2.69 27.24  14.12  17.45  24.57  0.71 

 

(*) The coefficient of variation for actual hours worked should be calculated for the sum of actual hours worked in 1st and 2nd jobs. and restricted to those who actually worked 1 hour or more in the reference week.

(**) The value is based on a CI of 95%. For the rates the CI should be given with 2 decimals.
6.3. Non-sampling error

 [not requested for the LFS quality report]
6.3.1. Coverage error
Frame quality (under-coverage, over-coverage and misclassifications(b))      
Under-coverage rate (%) Over-coverage rate (%) Misclassification rate (%)  Comments: specification and impact on estimates(a)   
 Undercoverage  Overcoverage  Misclassification(b)  Reference on frame errors
3.79 T1: 4.09

T2: 4.11

T3: 3.84

T4: 3.95

 N Due to the lack of appropriate information, the new dwellings, built after 2011 Census of the Population and Dwellings, that could possibly constitute a sampling frame of the new dwellings, have not been taken into account.  Thus, an up dates(of the addresses of dwellings) will be envisaged for the PSU included  in EMZOT. Under-coverage rate was estimated as the ratio between number of new permanent  dwellings, built in the period end of 2011 year (the year of the last census)- end of 2019 year (Source: Romanian Statistical Yearbook,  2020), and number of dwellings at the end of 2019 year (Source: Romanian Statistical Yearbook,  2020). Thus, it was assumed that the proportion of the new dwellings in total dwellings should be the same in the master sample. Over-coverage rates were estimated on the basis of the survey samples, as ratio between the number of not-eligible dwellings and number of sampled dwellings  NA  UNA

 

(a) Mention specifically which regions / population groups are not suitably represented in the sample.
(b) Misclassification refers to statistical units having an erroneous classification where both the wrong and the correct one are within the target population.
6.3.1.1. Over-coverage - rate

[Over-coverage rate, please see concept 6.3.1 Coverage error in the LFS quality report]
6.3.1.2. Common units - proportion

[not requested for the LFS quality report]
6.3.2. Measurement error
Errors due to the medium (questionnaire)   
Was the questionnaire updated for the 2019 LFS operation? (Y/N) Synthetic description of the update Was the questionnaire tested? (Y/N) If the questionnaire has been tested, which kind of tests has been applied (pilot, cognitive, internal check)?
 N  NA  NA  NA

 

Main methods of reducing measurement errors 
Error source  
Respondent  Letter introducing the survey (Y/N) Phone call for booking or introducing the survey (Y/N)
 Y  N
Interviewer  Periodical training (at least 1 time per year) (Y/N)  Feedbacks from interviewer (reports, debriefings, etc.) (Y/N)
 Y Y (for the electronic questionnaire)
Fieldwork  Monitoring directly by contacting the respondents after the fieldwork (Y/N) Monitoring directly by listening the interviews (Y/N) Monitoring remotely through performance indicators (Y/N)
 Y  N Y
Questionnaire  Questionnaire in several languages (Y/N)  On-line checks (for computer assisted interviews (Y/N)
 N  Y
Other / Comments  
6.3.3. Non response error

[not requested for the LFS quality report]
6.3.3.1. Unit non-response - rate

IN THIS SECTION INFORMATION REFERS TO THE FINAL SAMPLING UNITS *

Methods used for adjustments for statistical unit non-response
Adjustment via weights (Y/N) Variables used for non-response adjustment Description of method
 Y  County (NUTS 3 level) and area of residence (U/R) As it was already mentioned in previous item regarding the computation of the weights, in order to contra balance the non-respondent households, it is proceed at a re-weighting, by adjusting the weights of the respondent households with the inverse of the response rate. The non-response are not globally adjusted, at the entire sample level, but separately, on groups of households, groups generated by the intersection of the variables considered  as explicative variables of the non response: county (NUTS 3 level) and area of residence (urban \ rural). This correspond to the so-called 'response-homogenous groups" method, which assumes that in a  certain group all the units have the same probability. In order to minimize the effects induced by the presence of non-response  another adjustment is done: re-weighting by calibration of the weights.
Substitution of non-responding units (Y/N) Substitution rate Criteria for substitution
 N  NA  NA
Other methods (Y/N) Description of method
 N  

  

Non-response rates by survey mode. Annual average (% of the theoretical yearly sample by survey mode)
Survey
CAPI CATI  PAPI  CAWI  POSTAL
13.12 NA 19.38 NA NA

 

Divisions of non-response into categories. Quarterly data and annual average
Quarter Non-response rate
Total (%)             of which:
 Refusals (%)      Non-contacts (including people who migrated (or moved) internally or abroad) (%)    of which people who migrated (or moved) internally or abroad (%)
1 14.46 2.96 9 UNA
2 17.92 3.2 12.28 UNA 
3 14.49 3.43 8.3 UNA 
4 14.2 3.12 8.55 UNA 
Annual 15.27 3.18 9.53 UNA 

 

 Units who refused to participate in the survey  (Please indicate the number of the units concerned in the cells where the wave is mentioned)
Subsample Quarter1_2020 Quarter2_2020 Quarter3_2020 Quarter4_2020
Subsample_Q4_2018 183      
Subsample_Q1_2019 197 208    
Subsample_Q2_2019   193 205  
Subsample_Q3_2019     213 206
Subsample_Q4_2019 213     199
Subsample_Q1_2020 191 194    
Subsample_Q2_2020   254 247  
Subsample_Q3_2020     243 210
Subsample_Q4_2020       211
 Total in absolute numbers 784 849 908 826
 Total in % of theoretical quarterly sample 2.75 2.98 3.18 2.90

 

Units who were not contacted (including people who migrated (or moved) internally or abroad) (Please indicate the number of units only in the cells where the wave is mentioned)
Subsample Quarter1_2020 Quarter2_2020 Quarter3_2020 Quarter4_2020
Subsample_Q4_2018 426      
Subsample_Q1_2019 485 517    
Subsample_Q2_2019   577 430  
Subsample_Q3_2019     449 441
Subsample_Q4_2019 559     485
Subsample_Q1_2020 917 703    
Subsample_Q2_2020   1455 695  
Subsample_Q3_2020     624 572
Subsample_Q4_2020       768
 Total in absolute numbers 2387 3252 2198 2266
 Total in % of theoretical quarterly sample 8.37 11.41 7.71 7.95

 

of which people who migrated (or moved) internally or abroad) (Please indicate the number of units only in the cells where the wave is mentioned)
Subsample Quarter1_2020 Quarter2_2020 Quarter3_2020 Quarter4_2020
Subsample_Q4_2018 UNA      
Subsample_Q1_2019 UNA UNA    
Subsample_Q2_2019   UNA UNA  
Subsample_Q3_2019     UNA UNA
Subsample_Q4_2019 UNA     UNA
Subsample_Q1_2020 UNA UNA    
Subsample_Q2_2020   UNA UNA  
Subsample_Q3_2020     UNA UNA
Subsample_Q4_2020       UNA
 Total in absolute numbers total total total total
 Total in % of theoretical quarterly sample        

 

Non-response rates. Annual averages (% of the theoretical yearly sample)
NUTS-2 region (code + name)  Non response rate (%)
RO11-Nord-Vest  13.56
RO12-Centru  15.00
RO21-Nord-Est  10.23
RO22-Sud-Est  15.33
RO31-Sud - Muntenia  7.41
RO32-Bucuresti - Ilfov  43.09
RO41-Sud-Vest -Oltenia  1.81
RO42-Vest  8.23

* If the final sampling unit is the household it must be considered as responding unit even in case of some household members (not all) do not answer the interview

County (NUTS 3 level) and area of residence (U/R)
6.3.3.2. Item non-response - rate
Item non-response (*) - Quarterly data (Compared to the variables defined by the Commission Regulation (EC) No 377/2008)       

Variable status

 Column Identifier Quarter 1 Quarter 2 Quarter 3 Quarter 4 Short comments on reasons for non-available statistics and prospects for future solutions

Compulsory / optional
compulsory Col_110 - Employed METHODH C C C C  Not a popular method for employed persons
compulsory Col_111 - Employed METHODI C C C C  Not a popular method for employed persons
compulsory Col_115 - Employed METHODM . C . .  Not a popular method for employed persons

 

Item non-response - Annual data (Compared to the variables defined by the Commission Regulation (EC) No 377/2008)    
Variable status Column Identifier This reference year Short comments on reasons for non-available statistics and prospects for future solutions
 N  NA   NA   NA   NA 

(*) "C" means all the records have the same value different from missing.
6.3.4. Processing error
Editing of statistical item non-response
Do you apply some data editing procedure to detect and correct errors? (Y/N) Overall editing rate (Observations with at least one item changed / Total Observations )
 Y  UNA
6.3.4.1. Imputation - rate
Imputation of statistical item non-response
Are all or part of the variables with item non response imputed? (Y/N) Overall imputation rate (Observations with at least one item imputed / Total Observations )
 Y  22.5%
 Main variables Imputation rate  Describe method used, mentioning which auxiliary information or stratification is used 
 INCDECIL 22.5%  The procedure is using Hot-Deck method, missing items being taken from a donor record. The dentification of the donor record is made on the basis of the sample of respondents, taking into account a set of variables well correlated with the variable to be imputed.
6.3.5. Model assumption error

[not requested for the LFS quality report]
6.4. 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. http://ec.europa.eu/eurostat/web/research-methodology/seasonal-adjustment) (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
6.5. Data revision - policy
Do you adopt a general data revision policy fully compliant with the ESS Code of Practice principles? (in particular see the 8th principle) (Y/N) Are you 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/N)
 Y  Y
6.6. Data revision - practice

[not requested for the LFS quality report]
6.6.1. Data revision - average size

[not requested for the LFS quality report]


7. Timeliness and punctuality Top
7.1. Timeliness
Restricted from publication
7.1.1. Time lag - first result
Restricted from publication
7.1.2. Time lag - final result
Restricted from publication
7.2. Punctuality
Restricted from publication
7.2.1. Punctuality - delivery and publication
Restricted from publication


8. Coherence and comparability Top
8.1. Comparability - geographical

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 a divergence between the national and European concepts for the following characteristics? (Y/N) Give a description of difference and provide an assessment of the impact of the divergence on the statistics
Definition of resident population (*)  N  NA
Identification of the main job (*)  N  NA
Employment  N  NA
Unemployment  N  NA
8.1.1. Asymmetry for mirror flow statistics - coefficient

[not requested for the LFS quality report]
8.2. Comparability - over time
Changes at CONCEPT level introduced during the reference year and affecting comparability with previous reference periods (including breaks in series)
Changes in (Y/N) Description of the impact of the changes Statistics also revised backwards (if Y: year / N) Variables affected Break in series to be flagged (if Y: year and quarter/N)  
concepts and definition  N  NA  NA  NA  NA
coverage (i.e. target population)  N  NA  NA  NA  NA
legislation  N  NA  NA  NA  NA
classifications  N  NA  NA  NA  NA
geographical boundaries  N  NA  NA  NA  NA

 

Changes at MEASUREMENT level introduced during the reference year and affecting comparability with previous reference periods (including breaks in series)
Changes to (Y/N) Description of the impact of the changes Statistics also revised backwards (if Y: year / N) Variables affected Break in series to be flagged (if Y: year and quarter/N)
sampling frame  N  NA  NA  NA  NA
sample design  N NA  NA  NA  NA
rotation pattern  N  NA  NA  NA  NA
questionnaire  N  NA  NA  NA  NA
instruction to interviewers  N  NA  NA  NA  NA
survey mode N  NA  NA  NA  NA
weighting scheme  N  NA  NA  NA  NA
use of auxiliary information  N  NA  NA  NA  NA
8.2.1. Length of comparable time series

[not requested for the LFS quality report]
8.3. Coherence - cross domain
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. 

Idem

 UNA

 UNA 

 

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

 

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 66496 206701 38772 139794  UNA
 Registered unemployment 20394 133856 17686 124115  UNA
8.4. Coherence - sub annual and annual statistics

[not requested for the LFS quality report]
8.5. Coherence - National Accounts
Coherence of LFS data with National Accounts 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

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

idem
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

idem

 

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 not 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. employment registers and/or enterprise surveys)

 Y

 N

 N 

 N 

 N 

 N 
8.6. Coherence - internal

[not requested for the LFS quality report]


9. Accessibility and clarity Top
9.1. Dissemination format - News release

[not requested for the LFS quality report]
9.2. Dissemination format - Publications
Please provide a list of type and frequency of publications
 Main publications on survey results are:   -LFS annual detailed publication; - Statistical Yearbook;  -  Social Trends.
9.3. Dissemination format - online database
Documentation, explanations, quality limitations, graphics etc.    
Web link to national methodological publication Conditions of access to data Accompanying information to data Further assistance available to users
Link to the national web page (national language(s)):
- online database

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


- LFS methodology
http://colectaredate.insse.ro/metadata/viewStatisticalResearch.htm?researchId=4513

 Survey results are  available on electronic format also. Upon requests data are processed in order to answer to a larger number of users (internal and international). The synthesis of the annual Quality Report is available on INS-WEB (http://www.insse.ro) and INTRANET. Data for main indicators are loaded into INS database (TEMPO), also available on the INS-WEB. Publications on LFS results (published in Romanian and English)  contain survey methodology and organisation, analysis (including graphs) and  tables with detailed data. The publications  are stored in the electronic library of INS. Upon users request, the entire publication or parts of it  may be extracted and delivered in e-format or on paper.
9.3.1. Data tables - consultations

[not requested for the LFS quality report]
9.4. Dissemination format - microdata access
Accessibility to LFS national microdata (Y/N) Who is entitled to the access (researchers, firms, institutions)? Conditions of access to data Accompanying information to data Further assistance available to users

 Y

 Researchers

 Data on CD, provided after a contract is signed

 Database description

 Upon request
9.5. Dissemination format - other

[not requested for the LFS quality report]
9.6. Documentation on methodology
References to methodological notes about the survey and its characteristics
 INS site (https://insse.ro/cms/)
9.7. Quality management - documentation

[not requested for the LFS quality report]
9.7.1. Metadata completeness - rate

[not requested for the LFS quality report]
9.7.2. Metadata - consultations

[not requested for the LFS quality report]


10. Cost and Burden Top
Restricted from publication


11. Confidentiality Top
11.1. Confidentiality - policy

[not requested for the LFS quality report]
11.2. Confidentiality - data treatment
Please provide information on the policy for anonymizing microdata in your country
  Same as Eurostat except few variables


12. Comment Top

[not requested for the LFS quality report]


Related metadata Top


Annexes Top