Employment and unemployment (Labour force survey) (employ)

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

Compiling agency: Statistical office of Montenegro


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)
 



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1. Contact Top
1.1. Contact organisation

Statistical office of Montenegro
1.2. Contact organisation unit

Labour Market Department
1.5. Contact mail address

IV Proleterske 2, 81 000 Podgorica, Montenegro


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 Labour Force Survey covers the whole country. The target population comprises all persons who usually reside in Montenegro or intend to stay in Montenegro for at least 12 months. Only private households are surveyed. Housekeeping Members usually living together in the same dwelling and sharing food and other essentials for living, income and household expenses. Members of the household temporary absent for a period exceeding 12 months are excluded from the survey. If the person in the household resides in the country for less than one year and intends to stay in the country less than one year, the interview stops and the person will be excluded from the sample. Persons permanently living in collective units are not included in the survey.  15 years and more

 

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 Most of the time Most of the time Family home Most of the time

 

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)                                  
 N Data collection always refers to the week before the interview. 
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 sample design is a two stage sampling with stratification of the primary units. From 2012 the sampling frame is Census of Population, Households and Dwellings 2011  2011 Enumeration Area Households

 

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.)
 

Enumeration areas of the Census of Population, Households and Dwellings 2011 are used as the primary sampling units (PSU). Within each stratum an indirect additional stratification is made by partial ordering of PSU – within each stratum PSU are sorted by municipality (and within municipality in a random order). Within each stratum sampling of PSU is made by systematic probabilities proportional to size (the number of households) sampling with a random starting point.

 At the second stage necessary number of households is selected by simple random procedure within PSUs that are sampled for the first time. Population is subdivided in 8 strata by region and the degree of urbanization – (1) urban areas of Podgorica, the capital city; (2) urban areas of the Central Region (without Podgorica municipality); (3) urban areas of the Northern Region; (4) urban areas of the Coastal Region; (5) rural areas of Podgorica municipality; (6) rural areas of the Central Region (without Podgorica municipality); (7) rural areas of the Northern Region; (8) rural areas of the Coastal Region.
Each PSU is included in the sample for 2 consecutive quarters, then it is out of the sample for 2 next quarters, and then again it is included 2 quarters in the sample. As a rule, after 6 quarters PSU is not included in the sample anymore for a long time.		 Population is subdivided in 8 strata by region and the degree of urbanization – (1) urban areas of Podgorica, the capital city; (2) urban areas of the Central Region (without Podgorica municipality); (3) urban areas of the Northern Region; (4) urban areas of the Coastal Region; (5) rural areas of Podgorica municipality; (6) rural areas of the Central Region (without Podgorica municipality); (7) rural areas of the Northern Region; (8) rural areas of the Coastal Region.  

Rotation model 2-2-2 was applied in the sample of LFS. The households are interviewed in two consecutive quarters. After a two quarters break, they are again interviewed 2 times in the corresponding quarter of the following year. As a result, each household is included in four waves of the survey.

 

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)
 Sampling rate = 6.2  Size of the theoretical yearly sample: 11 856 households

  

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)
(1Q 2020): 1.54

(2Q 2020): 1.54

(3Q 2020): 1.54

(4Q 2020): 1.54

 (1Q 2020): 2964 households

(2Q 2020): 2964 households

(3Q 2020): 2964 households

(4Q 2020): 2964 households

  

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)
 NA  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
Weights are used to compensate unequal chances of different persons to be included in the LFS sample. Calculation of weights is made in several successive steps. At first, so-called design weights are calculated. Since sampling of PSU is made with probabilities proportional to number of households, we will have that the inclusion probability of PSU from stratum in the sample at the first stage. At the second stage within each selected PSU households are sampled by simple random sampling procedure. Therefore inclusion probability of household at the second stage is equal to multiplication these two inclusion probabilities

The design weight of a household is calculated as the inverse of its inclusion probability.

All persons of the same household have the design weight equal to the design weight of that household.

The design weights are further adjusted according to the actual response level, and calibrated according to the population demographic data by strata, sex and age groups in order to reach consistency between survey estimates and the official demographic statistics.		  

Y

  NA  

Y

 0-14, 15-19, 20-24, 25-34, 35-44, 45-54, 55-64, 65-74, 75+ Podgorica, Central Region (without Podgorica municipality), Northern Region, Coastal Region  N

 

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
Yearly weights are quarterly weights divided with 4 Y  0-14, 15-19, 20-24, 25-34, 35-44, 45-54, 55-64, 65-74, 75+  Podgorica, Central Region (without Podgorica municipality), Northern Region, Coastal Region  N

 

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)
Calculation of weights for households is made in several successive steps. At first, so-called design weights are calculated. Since sampling of PSU is made with probabilities proportional to number of households, we will have that the inclusion probability   of PSU   from stratum in the sample at the first stage. At the second stage within each selected PSU households are sampled by simple random sampling procedure. Therefore inclusion probability of household at the second stage is equal to multiplication these two inclusion probabilities.

The design weight of a household is calculated as the inverse of its inclusion probability.

All persons of the same household have the design weight equal to the design weight of that household.		  N  N  Age groups, gender, regions  N
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?
Data are collected by face-to-face interview, using paper questionnaires. Interviews are done during the week immediately following the reference week. Data are collected with identical questionnaires through the whole year. There are two questionnaires: the household questionnaire (addressed to all household members disregarding the age, collecting socio-demographic and information concerning the relationship with the head of household and the presence in the household) and the individual questionnaire (addressed only to the household members aged 15 years and more).  N Voluntary

 

Final sampling unit collected by interviewing technique (%)
CAPI CATI PAPI CAWI POSTAL - OTHER
NA  NA  100  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)
 Relevance of the main LFS statistics at national level is high. These statistics is used by policy makers, media, researchers and students, social actors etc.
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?
NUTS1-NUTS2-NUTS3 represent the whole territory in Montenegro. NUTS1-NUTS2-NUTS3 represent the whole territory in Montenegro.  NUTS1-NUTS2-NUTS3 represent the whole territory in Montenegro.   NR
5.3.1. Data completeness - rate

[not requested for the LFS quality report]


6. Accuracy and reliability Top

The Labor Force Survey covers persons living in private households. As the results are based on a sample of population they are subject to the usual types of errors associated with sampling techniques and interviews, such as: sampling errors, non-sampling errors, measurement errors, processing errors, and non-response.
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
 1 200  1 900  We don't use wave approach.  We don't use wave approach.
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 1.18  0.90  7.05  3.02  2.79  5.56  0.56 
 SE 2.48 0.50  0.54  1.44  0.50  2.00  0.22 
 CI(**) 205.87-215.59  54.26-56.23  6.60-8.71  44.93-50.58  16.93-18.89  32.02-39.88  38.63-39.48 

 

Description of the assumption underlying the denominator for the calculation of the CV for the employment rate
 The employment rate for those aged 20-64 is the estimated number of those aged 20-64 in employment divided by estimated number of population aged 20-64. The denominator for the CV calculation is estimated number of population aged 20-64.

 

Reference on software used: Reference on method of estimation:
 Statistical Analysis System – SAS/STAT  Horvitz-Thompson’s estimates were used (for notations see Särndal et al (1992), p.42).

 

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 
NUTS1-NUTS2-NUTS3 represent the whole territory in Montenegro.  NA  NA   NA   NA   NA   NA   NA   NA 

 

(*) 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
UNA 

Q1: 11.3%

Q2: 11.9%

Q3: 10.0%

Q4: 10.8%

Annual average: 11.0% 

 UNA  UNA  UNA  UNA  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)?
 NR  NR   NR   NR 

 

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
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 N
Questionnaire  Questionnaire in several languages (Y/N)  On-line checks (for computer assisted interviews (Y/N)
N NA
Other / Comments N
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 Location of household in EA The design weights of household adjusted according to the actual response level. In order to adjust the weights according to the actual response level the sample size is replaced by the number of households participating in the survey (number - by the number of PSUs where LFS was actually carried out).
The number of PSUs within stratum where LFS was actually carried out is the number of households participating in the survey within PSU of the stratum.
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
NA NA  22.2  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 20.7  5.3  13.7 UNA
2 21.3  6.4  13.6 UNA 
3 24.0  8.3  13.9 UNA 
4 22.8  7.0  12.9 UNA 
Annual 22.2   6.7   13.5  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 45      
Subsample_Q1_2019 32 39    
Subsample_Q2_2019   44 56  
Subsample_Q3_2019     44 47
Subsample_Q4_2019 33     38
Subsample_Q1_2020 28 32    
Subsample_Q2_2020   52 64  
Subsample_Q3_2020     57 54
Subsample_Q4_2020       47
 Total in absolute numbers 138 167 221 186
 Total in % of theoretical quarterly sample 4.7 5.6 7.5 6.3 

 

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 53      
Subsample_Q1_2019 92 46    
Subsample_Q2_2019   74 64  
Subsample_Q3_2019     76 48
Subsample_Q4_2019 92     70
Subsample_Q1_2020 124 105    
Subsample_Q2_2020   130 116  
Subsample_Q3_2020     114 94
Subsample_Q4_2020       129
 Total in absolute numbers 361 355 370 341
 Total in % of theoretical quarterly sample 12.2 12.0 12.5 11.5 

 

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 wave 4      
Subsample_Q1_2019 wave 3 wave 4    
Subsample_Q2_2019   wave 3 wave 4  
Subsample_Q3_2019     wave 3 wave 4
Subsample_Q4_2019 wave 2     wave 3
Subsample_Q1_2020 wave 1 wave 2    
Subsample_Q2_2020   wave 1 wave 2  
Subsample_Q3_2020     wave 1 wave 2
Subsample_Q4_2020       wave 1
 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 (%)
 NA  NA

* 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
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_028 SIGNISAL C . .    
compulsory Col_065/66 HWOVERP C . .    
compulsory Col_067/68 HWOVERPU C C C    
compulsory Col_107 - Employed METHODE . . C    
compulsory Col_109 - Employed METHODG . . C    
compulsory Col_110 - Employed METHODH C . C    
compulsory Col_111 - Employed METHODI C . C    
compulsory Col_112 - Employed METHODJ . . C    
compulsory Col_114 - Employed METHODL C . .    
compulsory Col_129/131 COURLEN . . C    
compulsory Col_168 DEGURBA 100 100 100    

 

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  Not measured.
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  Not measured.
 Main variables Imputation rate  Describe method used, mentioning which auxiliary information or stratification is used 
 UNA  UNA  
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 Administrative sources:

The data on annual and monthly number of employees are received on the basis of the records regulated by the Law on Records in the Area of Labour and Employment (Official Gazette of the Republic of Montenegro 69/03; 45/12), kept by the Central Register of Tax Administration (CRTA) (Official Gazette of Montenegro 45/08; 80/08; 15/09; 43/09; 32/10), and regularly used by the Statistical Office of Montenegro.

The term “employees” refers to all persons being employed in enterprises, institutions, organizations or by self-employed individuals no matter whether their employment status is based on a permanent or temporary contract and whether they work on a full-time or part-time basis.

LFS definition: "persons performed at least one working hour in the reference week".		  

LFS: survey based on the sample of private households

Data collection: interviews in selected households		  UNA  

Notes on methodology (e.g. in Statistical Yearbook)
Total employment by NACE Administrative sources:

The data on annual and monthly number of employees are received on the basis of the records regulated by the Law on Records in the Area of Labour and Employment (Official Gazette of the Republic of Montenegro 69/03; 45/12), kept by the Central Register of Tax Administration (CRTA) (Official Gazette of Montenegro 45/08; 80/08; 15/09; 43/09; 32/10), and regularly used by the Statistical Office of Montenegro.

The term “employees” refers to all persons being employed in enterprises, institutions, organizations or by self-employed individuals no matter whether their employment status is based on a permanent or temporary contract and whether they work on a full-time or part-time basis. The NACE Rev. 2 classification is used.

LFS definition: ‘persons performed at least one working hour in the reference week’		  

LFS: survey based on the sample of private households

Data collection: interviews in selected households		  UNA  Notes on methodology (e.g. in Statistical Yearbook)
Number of hours worked UNA   UNA  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
Guide on manner of determining survey and registered unemployment rate

Link to the national web page: http://www.monstat.org/userfiles/file/ars/

Prirucnik%20nezaposlenosti%20u%20CG_20_3_2015ENG(1).pdf

 Guide on manner of determining survey and registered unemployment rate

Link to the national web page: http://www.monstat.org/userfiles/file/ars/

Prirucnik%20nezaposlenosti%20u%20CG_20_3_2015ENG(1).pdf

 Guide on manner of determining survey and registered unemployment rate

Link to the national web page: http://www.monstat.org/userfiles/file/ars/

Prirucnik%20nezaposlenosti%20u%20CG_20_3_2015ENG(1).pdf

 

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)
Guide on manner of determining survey and registered unemployment rate

Link to the national web page: http://www.monstat.org/userfiles/file/ars/Prirucnik%20nezaposlenosti%20u%20CG_20_3_2015ENG(1).pdf

  UNA UNA  UNA  UNA  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 UNA  UNA UNA  UNA 
Total employment by NACE UNA UNA  UNA  UNA 
Number of hours worked UNA  UNA  UNA  UNA 

 

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)
 UNA  UNA UNA  UNA  UNA  UNA 
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
Quarterly Release

Annual Release

Statistical Yearbook

Publication Montenegro in figures (annual) 

Publication Women and men in Montenegro (annual)
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
LFS:

http://www.monstat.org/cg/page.php?id=22&pageid=22

Link to the national web page (national language):

http://www.monstat.org/cg/page.php?id=660&pageid=22

Link to the national web page (English):

http://www.monstat.org/eng/page.php?id=527&pageid=22

  

The LFS Release is available simultaneously to all interested parties on the day of release. The new release is published on the official site of Statistical Office of Montenegro.

The access to microdata is defined according to Law on Official Statistics and Official Statistical System of Montenegro.

  

The LFS Release includes a short methodological explanation on the main indicators.

The questionnaires are available on the national web page: 

 http://www.monstat.org/eng/page.php?id=165&pageid=22

  

On every release a reference person is indicated, with telephone number, mail address and e-mail address, to whom it is possible to ask for any clarification.  
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 The Law on Official Statistics and Official Statistical System (Official Gazette of Montenegro No 18/12) regulates rules under which external users can obtain an access to individual data for needs of research. Article 58 defines types of scientific and research organizations that can obtain such data. Providing individual data without identifier is possible only upon a written request of scientific and research institutions, with purpose of performing scientific and research activities as well as international statistical organizations and statistical producers from other countries. Research entity signs the agreement with Statistical Office, and it signs the statement on respecting the confidentiality principle. Official statistical producers keep separate records on users and purpose of using the statistical data given to these users.

Law on statistics: http://www.monstat.org/eng/page.php?id=4&pageid=4

  UNA  UNA UNA
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
 N
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
Articles 53-60 of the Law on Official Statistics and Official Statistical System (Official Gazette of Montenegro No 18/12) provide a framework for protection, use, and transmission of confidential data. MONSTAT has produced two comprehensive rulebooks that cover the procedures for individual data protection as well as keeping individual records. With purpose of the meeting legal framework on functioning of security system and statistical confidentiality there was adopted the Rulebook on Keeping Statistical Data by which Manner, Time, Technical Conditions and Organization of Statistical Data Storage to Prevent Their Destroying, Misappropriation, and Unauthorized Use is Regulated as well as the Rulebook on Contents and Manner of Keeping Records on Users of Individual Statistical Data by which contents and manner of keeping records on users of individual statistical data is regular. Pursuant to the Article 59, an access to the confidential data is limited to persons performing duties and tasks of official statistical producer and up to the stage the data are necessary for official statistical production. Persons that perform duties and tasks within official statistical producers must sign the statement on respecting the principle of confidentiality. Law on Official Statistics and Official Statistical System is aligned with the Regulation No 223/2009 and the Regulation (EU) 2015/759 from 29 April 2015 that also regulates confidentiality provisions. The Government of Montenegro adopted the Statement on Commitment of Confidence in Official Statistics (Commitment of Confidence).


12. Comment Top

[not requested for the LFS quality report]


Related metadata Top


Annexes Top