Labour costs survey - NACE Rev. 2 activity (lcs_r2)

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

Compiling agency: CROATIAN BUREAU 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)
 



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1. Contact Top
1.1. Contact organisation

CROATIAN BUREAU OF STATISTICS
1.2. Contact organisation unit

LABOUR MARKET STATISTICS DEPARTMENT
1.5. Contact mail address

Branimirova 19 – 21, 10 000 Zagreb


2. Statistical presentation Top
2.1. Data description

Croatian Bureau of Statistics carried out for the third time Labour Cost Survey (LCS) in 2018 with intention of collecting data for reference year 2016. The survey is fully compliant with the Commission Regulation (EC) No 1726/ 1999 and the Commission Regulation (EC) No 1737/2005.
2.2. Classification system

National Classification of Activities, 2007 version, comparable to the international Statistical Classification of Economic Activities in the European Community NACE Rev. 2
2.3. Coverage - sector

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
2.4. Statistical concepts and definitions

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
2.5. Statistical unit

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
2.6. Statistical population

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
2.7. Reference area

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
2.8. Coverage - Time

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
2.9. Base period

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.


3. Statistical processing Top
3.1. Source data

The sampling frame for Labour Cost Survey consists of all enterprises engaged in an economic activity on the territory of the Republic of Croatia and employing at least 10 persons.

Targeted population - persons employed in legal entities in permanent employment, irrespective of a kind of employment and a number of working hours that have received wages for their work

Sample frame consist of 15 961 legal entities. The final sample size consists of 5 408 enterprises.

Stratification of sample is made according to main activity of an enterprise, on the level of NACE Rev 2 divisions and according to size classes (3 classes according to number of employees –‘01’ small units (10 – 49 employees), ‘02’ medium sized units (50 – 249 employees) and ‘03’ large units (250 + employees).

The sampling frame was divided in 411 strata according to 3 criteria (size of enterprises, dominant economic activity of the enterprise and NUTS 2 region).

The sample sizes for strata of small and medium-sized entities were calculated in proportion to the number of employees in these strata.

Sample consists of all large units and stratified random sample of small and medium sized units. In strata in which sample should be larger than total population, size of a sample is equal to number of units in the population. If calculated size of a sample is lower than 10 units as well as population, size of a sample is equal to size of a population. Where possible, an increase of 20% of sample was performed in order to prevent the negative effect of total non-response.

In cases when calculated sample size is higher or equal to 10 units – sample size is 10 units.

In the sample are defined key respondents – legal units that MUST deliver data. There were 564 large units and 669 small and medium sized units that were identified as key respondents.



Annexes:
SAMPLE STRATIFICATION
3.2. Frequency of data collection

[Not requested]
3.3. Data collection

[Not requested]
3.4. Data validation

[Not requested]
3.5. Data compilation

[Not requested]
3.6. Adjustment

[Not requested]


4. Quality management Top
4.1. Quality assurance

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.
4.2. Quality management - assessment

[Not requested]


5. Relevance Top
5.1. Relevance - User Needs

The main national user of LCS data are National Accounts in CBS.

 

Major foreign user of survey data is Eurostat and the International Labour Organisation. Data are transmitted to Eurostat according to regulations currently in force.
5.2. Relevance - User Satisfaction

The needs of national users have been satisfied.
5.3. Completeness

[Not requested]
5.3.1. Data completeness - rate

[Not requested]


6. Accuracy and reliability Top

-
6.1. Accuracy - overall

[Not requested]
6.2. Sampling error

Please see Coefficients of variation.
6.2.1. Sampling error - indicators

In the four (4) attached documents Coefficients of variations are shown in percentage for Annual labour costs and Hourly labour costs, broken down by NACE sections and size classes



Annexes:
Coefficient of variations for Annual labour costs by activities
Coefficients of variations for hourly labour costs by activities
Coefficients of variations for Annual labour costs by size classes
Coefficients of variations for hourly labour costs by size classes
6.3. Non-sampling error

No indicators of over-coverage, nor under-coverage were included.
6.3.1. Coverage error

No indicators of under-coverage were included in LCS 2016.
6.3.1.1. Over-coverage - rate

No over-coverage was detected.
6.3.1.2. Common units - proportion

[Not requested]
6.3.2. Measurement error

Each question in questionnaire has a clear explanation of what should be included and also what should be excluded from data presented.
6.3.3. Non response error

Please see response rate.
6.3.3.1. Unit non-response - rate

The total unit response rate was 60,8%. No imputation methods were used.



Annexes:
Response rate by activities
6.3.3.2. Item non-response - rate

[Not requested]
6.3.4. Processing error

All the data entered in application prepared for data entry are tested with logic control. Logic control contains a set of logical limits which the values of variables should not exceed. If that is the case reporting units are called in order to check data sent or to confirm that data are correct. Listed hereafter is a list of logic controls.

 

Table 10: List of logic controls

ERROR

QUESTION

Question Nº

CONDITIONS

POSSIBILITY OF APPROVAL YES/NO
 

Employees who received salaries for 2016, by months

P1

 

 

E1

 

 

status 1 and  total P1 column 2 =0

NO

 

 

 

status 5, 7 and 8 and  total P1 column 2 =0

YES

 

 

 

status 0, 2, 3, 4, 6, 9 and total P1 column 2 > 0

NO

 

Total number of hours worked

P2

 

 

E2

 

 

P2 ≠ (P2a + P2b)

 

E3

 

 

(total P1 column 2) *250 < P2 < (total P1 column 2) *120

YES

E4

 

 

P2b = 0 and P2a ≠ P2

 

 

Hours worked by full-time employees

P2a

 

 

E5

 

 

(total P1 column 3) *250 < P2a < (total P1 column 3) *120

YES

 

Hours worked by part-time employees

P2b

 

 

E6

 

 

P2b > 0 and
(total P1 column 4)*125 < P2b < (total P1 column 4)*60

YES

 

Total number of paid hours

P3

 

 

E7

 

 

P3=P2

 

E8

 

 

P3 ≠ (P3a + P3b)

 

E9

 

 

P3b = 0 and P3a ≠ P3

 

E10

 

 

(total P1 column 2) *255 < P3 < (total P1 column 2) *150

YES

 

Paid hours for full-time employees

P3a

 

 

E11

 

 

(total P1 column 3) *255 < P3a < (total P1 column 3) *150

YES

 

Paid hours by part-time employees

P3b

 

 

E12

 

 

P3b > 0 and  P2b=P3b

 

E13

 

 

P3b > 0 and
(total P1 column 4)*130 < P3b < (total P1 column 4)*75

YES

 

Gross annual earnings for the year 2016

P4

 

 

E14

 

 

((total P1 column 2)*7875*2) < P4 < ((total P1 column 2)*7875*0,5)

YES

 

Payments based on personal (individual) business efficiency

P5

 

 

E15

 

 

P5 > 0 and
P4*0,4 < P5 < 1800

YES

 

Additional payments based on business efficiency, collective agreement etc.

P6

 

 

E16

 

 

P6 > 0 and
P4*0,4 < P6 < 1800

YES

 

Recourse of holiday leave

P7

 

 

E17

 

 

P7 = 0

YES

E18

 

 

P7 > 0 and
((total P1 column 2)/12)*4000 < P7 and
P7 < ((total P1 column 2)/12)*1000

YES

 

Anniversary rewards

P8

 

 

E19

 

 

P8 > 0 and
P4*0,1 < P8 < 1800

YES

 

Compensation of wage/salary for annual leave, public holidays etc.

P9

 

 

E20

 

 

P9 = 0

 

E21

 

 

P9 > 0 and
P4*0,4 < P9 < 1800

YES

 

Other compensation of wage/salary

P10

 

 

E22

 

 

P10 >0 and
P4*0,1 < P10 < 800

YES

 

Life insurance premiums

P11

 

 

E23

 

 

P11 >0 and
P4*0,1 < P11 < 800

YES

 

Supplemental and private health insurance premiums

P12

 

 

E24

 

 

P12 >0 and
P4*0,1 < P12 < 800

YES

 

Voluntary pension fund premiums

P13

 

 

E25

 

 

P13 >0 and
P4*0,1 < P13 < 800

YES

 

Remuneration in the event of sickness

P14

 

 

E26

 

 

P14 >0 and
P4*0,3 < P14 <2000

YES

 

Remuneration of costs related to work

P15

 

 

E27

 

 

P15 >0 and
P4*0,4 < P15 <1800

YES

 

Other costs related to employees

P16

 

 

E28

 

 

P16 >0 and
P4*0,3 < P16 <1800

YES

 

Payment related to official trips

P17

 

 

E29

 

 

P17 >0 and
P4*0,05 < P17 <800

YES

 

 Payments in form of shares and other securities

P18

 

 

E30

 

 

P18 >0 and
P4*0,3 < P18 <800

YES

 

Payments in kind

P19

 

 

E31

 

 

P19 >0 and
P4*0,1 < P19 <800

YES

 

Expenditure on housing of employees

P20

 

 

E32

 

 

P20 >0 and
P4*0,1 < P20 <800

YES

 

Car costs

P21

 

 

E33

 

 

P21 >0 and
P4*0,1 < P21 <800

YES

 

Other wages and salaries in kind

P22

 

 

E34

 

 

P22 >0 and
P4*0,1 < P22 <800

YES

 

Employers' statutory health care contributions

P23

 

 

E35

 

 

P23 < P4*0,15

YES

 

Employers' statutory employment contributions

P24

 

 

E36

 

 

P24 < P4*0,017

YES

 

Employers' statutory contributions for injuries at work and professional diseases

P25

 

 

E37

 

 

P25 < P4*0,005

YES

 

Additional employers' payments for social security of employees

P26

 

 

E38

 

 

0 < P26 < 800 and
P26 > P4*0,1

YES

 

Compensation of wage/salary in notice period during the period of waiting for a job at home and compensation for wage/salary for permanent surplus of workers in notice period

P27

 

 

E39

 

 

P27 >0 and
P4*0,3 < P27 <2000

YES

 

Marriage and childbirth benefits and gratuities

P28

 

 

E40

 

 

P28 >0 and
P4*0,3 < P28 <1800

YES

 

Severance pay for retirement

P29

 

 

E41

 

 

P29 >0 and
P4*0,3 < P29<2000

YES

 

Severance pay for permanent surplus of workers

P30

 

 

E42

 

 

P30 >0 and
P4*0,3 < P30<2000

YES

 

Solidarity aid

P31

 

 

E43

 

 

P31 >0 and
P4*0,1 < P31<800

YES

 

Training costs

P32

 

 

E44

 

 

P32 >0 and
P4*0,3 < P32<1800

YES

 

Recruitment costs

P33

 

 

E45

 

 

P33 >0 and
P4*0,2 < P33<800

YES

 

Clothing costs

P34

 

 

E46

 

 

P34 >0 and
P4*0,2 < P34<800

YES

 

Subsidies

P35

 

 

E47

 

 

P35 > 0 and
P35 > (P4 + P5 + P6 + P7 + P8 + P9 + P10 + P11 + P12 + P13 + P14 + P15 + P16 + P18 + P19 + P20 + P21 + P22)

 
6.3.4.1. Imputation - rate

No imputation methods were used.
6.3.5. Model assumption error

Data collected were in the stage of data processing weighted. Weights are the product of design weight, unit non-response adjustment weight and g-weight because of using calibrated (ratio) estimator with employment as an auxiliary variable available from the business register.
6.4. Seasonal adjustment

[Not requested]
6.5. Data revision - policy

[Not requested]

 
6.6. Data revision - practice

[Not requested]
6.6.1. Data revision - average size

[Not requested]


7. Timeliness and punctuality Top
7.1. Timeliness

Data were transmitted to Eurostat 21 months after the reference period. All the data were delivered without restrictions on data availability.
7.1.1. Time lag - first result

[Not requested]
7.1.2. Time lag - final result

[Not requested]
7.2. Punctuality

The sample frame and application for data entry were prepared in accordance with Department for classifications, sampling, statistical methods and analysis and IT department inside CBS. Labour market department created a paper questionnaire.

Paper questionnaires were sent to respondents together with invitation letter in which the purpose of the survey was explained, deadlines for data delivery were stated together with contact information from persons from Labour market department directly included in data collection process.

During data collection all data from incoming questionnaires were entered in prepared application and also simultaneously logically tested. In case there were some errors in data, respondents were contacted via telephone and asked to deliver corrections or to verify that delivered data are correct.
7.2.1. Punctuality - delivery and publication

[Not requested]


8. Coherence and comparability Top
8.1. Comparability - geographical

All the data were collected and published on local kind of activity level. Apprentices are not included because of negligible phenomena.
8.1.1. Asymmetry for mirror flow statistics - coefficient

[Not requested]
8.2. Comparability - over time

In LCS 2016 there were no changes in definitions, coverage and methods in comparison with LCS 2012.
8.2.1. Length of comparable time series

[Not requested]
8.3. Coherence - cross domain

1. Coherence with Labour Force Survey (LFS).

The main reason for the difference in number of hours worked per person in paid employment from LCS and LFS is in type of survey: LCS is business survey and LFS is household survey.

 

Hours actually worked per employee (LFS main job)

NACE sections DATA DIFFERENCES
LCS LFS absolute %
B_S 1743 1992 249 14,3
B 1632 2044 412 25,2
C 1785 2038 253 14,2
D 1715 1955 240 14,0
E 1717 1986 269 15,7
F 1769 2090 321 18,1
G 1776 1986 210 11,8
H 1752 2106 354 20,2
I 1742 2075 333 19,1
J 1768 1992 224 12,7
K 1696 1945 249 14,7
L 1960 1732 -228 -11,6
M 1798 1903 105 5,8
N 1774 1945 171 9,6
O 1711 1971 260 15,2
P 1617 1919 302 18,7
Q 1740 2070 330 19,0
R 1743 1867 124 7,1
S 1775 1955 180 10,1

 

2. Coherence with Structural business statistics (SBS).

SBS data for all activities are not available. Data for SBS are on business entity level and for LCS on LKAU level therefore some of the units could have different activity. The main reason for the difference in monthly wages and salaries per person in paid employment from LCS and SBS is in different data sources.

Wages and salaries per employee, same variable SBS

NACE sections DATA DIFFERENCES
LCS SBS absolute %
B 11225 10257 -968 6,8
C 7861 7117 -744 -8,0
D 11843 11301 -542 10,1
E 8807 7548 -1259 -21,7
F 7934 6216 -1718 -22,8
G 8747 6578 -2169 -15,5
H 9107 8418 -689 -31,7
I 7358 5486 -1872 -23,8
J 12886 10684 -2202 -28,9
L 10905 7260 -3645 31,4
M 13019 8374 -4645 -16,5
N 6150 5206 -944 5,7

 

3. Coherence with Labour Cost Index (LCI)

NACE sections DATA
LCS LCI
B_S 100,0 105,9
B 116,7 89,3
C 104,9 105,1
D 105,0 102,7
E 112,6 104,7
F 102,1 114,5
G 112,2 105,2
H 100,1 104,2
I 102,0 108,4
J 95,1 111,8
K 102,3 109,7
L 101,5 116,5
M 77,2 125,3
N 117,9 93,9
O 93,3 96,8
P 97,2 100,6
Q 100,6 103,3
R 100,0 114,5
S 113,9 125,9

The reasons for the difference in growth rate of labour costs per worked hour from LCS and LCI are different data sources.
8.4. Coherence - sub annual and annual statistics

[Not requested]
8.5. Coherence - National Accounts

Coherence with National Accounts

Compensation of employees, same variable NA

NACE sections DATA DIFFERENCES
LCS NA absolute %
B_S 10493 8990 -1503 -14,3
B 14312 15291 979 6,8
C 9362 8612 -750 -8,0
D 14241 15683 1442 10,1
E 10456 8182 -2274 -21,7
F 9248 7136 -2112 -22,8
G 10169 8597 -1572 -15,5
H 10775 7363 -3412 -31,7
I 8614 6566 -2048 -23,8
J 15237 10839 -4398 -28,9
K 14823 14908 85 0,6
L 12884 16929 4045 31,4
M 15252 12738 -2514 -16,5
N 7291 7703 412 5,7
O 10820 11053 233 2,2
P 9927 9020 -907 -9,1
Q 11289 9488 -1801 -16,0
R 10134 10882 748 7,4
S 11605 5408 -6197 -53,4

The main reason for the difference in compensation of employees from LCS and NA is in different data sources and coverage.
8.6. Coherence - internal

[Not requested]


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

[Not requested]
9.2. Dissemination format - Publications

Data is available in Statistical yearbook 2018 regularly published by CBS each year.
9.3. Dissemination format - online database

N/A
9.3.1. Data tables - consultations

[Not requested]
9.4. Dissemination format - microdata access

[Not requested]
9.5. Dissemination format - other

N/A
9.6. Documentation on methodology

All the data published in Statistical yearbook also contain methodological notes so users can see definitions of variables published. In case of additional explanation, they could be provided on special request.
9.7. Quality management - documentation

[Not requested]
9.7.1. Metadata completeness - rate

[Not requested]
9.7.2. Metadata - consultations

[Not requested]


10. Cost and Burden Top

[Not requested]


11. Confidentiality Top
11.1. Confidentiality - policy

[Not requested]
11.2. Confidentiality - data treatment

[Not requested]


12. Comment Top

LIST OF ABBREVIATIONS

 

LCS Labour Cost Survey

CBS Croatian Bureau of Statistics

SBR Statistical Business Register

LFS Labour Force Survey

SBS Structural business statistics


Related metadata Top


Annexes Top