Labour cost index (lci)

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

Compiling agency: Statistics Sweden


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

Statistics Sweden

1.2. Contact organisation unit

Economic Statistics Department   

Salaries and Employment

1.5. Contact mail address

Statistics Sweden - SCB
Klostergatan 23
SE 701 89 Örebro


2. Statistical presentation Top
2.1. Data description

The Swedish labour cost index (LCI) has been transmitted to Eurostat since 1996. Only the private sector was measured until 2007. From 2008 and onwards, the entire public sector is included as well. The main sources for LCI are: Short-term statistics, salaries, in the municipalities (KLK), Short-term statistics, salaries, in the county councils (KLL), Short-term statistics, wages and salaries, private sector (KLP) and Short-term statistics, salaries, governmental sector (KLS).

2.2. Classification system

The Swedish LCI covers sections B-S according to NACE Rev. 2

2.3. Coverage - sector

The Swedish LCI measures quarterly developments in Swedish labour cost per hour worked in the overall Swedish economy and covers the private sector enterprises as well as the public institutions.

2.4. Statistical concepts and definitions

Labour cost per hour worked.

2.5. Statistical unit

Enterprises

2.6. Statistical population

All of the governmental sector, municipalities and the county councils. For the private sector enterprises with five or more employees. Employees from 18 to 66 years old are included from 2015. Up until 2014 employees from 18 to 64 years old are included.

2.7. Reference area

Sweden

2.8. Coverage - Time

First quarter of 1996 until fourth quarter of 2007 for the private sector. First quarter of 2008 onwards for the whole economy.

2.9. Base period

2016


3. Statistical processing Top
3.1. Source data

LCI is based largely on the survey Short-term statistics, wages and salaries, private sector (KLP), Short-term statistics, salaries, in the county councils (KLL), Short-term statistics, salaries, governmental sector (KLS) and Short-term statistics, salaries, in the municipalities (KLK).

Only the Short-term statistics, wages and salaries, private sector (KLP) is sampled. The other sources are completely surveyed and covers the entire population of employees, employed by the central government, municipalities and county councils.

For more information see "6.3.4.1 Imputation - rate".

3.2. Frequency of data collection

The source data is collected monthly.

3.3. Data collection

All surveyed units send data to Statistics Sweden's corresponding short term statistics surveys (private, municipalities, county councils and central government) on a monthly basis, mainly via our web-based applications.

3.4. Data validation

The data is thouroughly validated in accordance with Statistics Sweden's internal processes.

3.5. Data compilation

The four primary sources collect the same variables, but from different sectors.

3.6. Adjustment

To cohere with Eurostat’s standards Statistics Sweden use a cut-off model to calculate labour costs for companies with 1-4 employees in the private sector. For more information see concept in chapter 6.3.4.1.

The data sent to Eurostat is seasonal adjusted, for seasonal adjustment see concept in chapter 6.4.

Working-day effect is already adjusted in the underlying surveys for LCI and no extra adjustment is done.


4. Quality management Top
4.1. Quality assurance

Data is validated internally before dissemination.

4.2. Quality management - assessment

The four primary sources have been evaluated for many years and the quality of them is considered good.


5. Relevance Top
5.1. Relevance - User Needs

The main users of Labour Cost Index (LCI) are the National Mediation Office, certain institutions within the European Commisson administration, financial analysts, Statistics Sweden and other national statistics offices. The objectives and the needs vary between different users. Some important areas where LCI is used are studies of inflation, wages and competitive advantages. Statistics Sweden has not received any calling attention that the LCI does not meet the needs of the users, apart from some demands of monthly series.

Until 2007 irregular bonuses was not included in LCI transmitted by Sweden, but since 2008 a separate annual bonus survey is conducted, which makes it possible to estimate and include irregular bonuses in LCI. Index numbers starting from the first quarter of 2008 has been updated with results from the bonus survey. From 2008 the public sector is also included in the Swedish LCI. This means that Sweden from 2009 (LCI from Q1 2008) have been able to deliver series of indices including irregular bonuses and the public sector, which previously were not possible. Until 2011 a seasonally and working day adjusted serie were not delivered by Sweden. In the beginning of 2012 (LCI from Q1 1999) Sweden started to transmit LCI as seasonally and working day adjusted for NACE Rev.2 sections B-N.

5.2. Relevance - User Satisfaction

Regarding user satisfaction, Statistics Sweden assumes that one of the main users, Eurostat, is satisfied with the quality of the main results of the Swedish LCI.

5.3. Completeness

For many years it was a problem for Sweden to include the public sector and irregular bonuses in the LCI. But, since the delivery of LCI Q1 2008 to Eurostat, bonuses for the private sector is included due to the annual bonus survey, which takes place in Sweden on behalf of the National Mediation Office (MI). From 2008 the public sector is also included in LCI, except for benefits (D1114) for county councils and municipalities. There is also a collected part of wages and hours from the municipalities, who are not industry specific and are therefore, on the advice of the statistical authority (The National Mediation Office), broken out on a number of industries within in the municipalities by size. In early 2012 Sweden began to report the LCI series seasonally adjusted according to NACE Rev.2. This means that all series (sections: B- N) are now available as seasonally adjusted from Q1 1999.

From Januari 2015 the age demarcation has been increased from 18-64 years to 18-66 years for the employees in the Short-term statistics.

Sweden deliver two series: Calendar adjusted data, not seasonally adjusted data and Seasonally and calendar adjusted data. Sweden are granted derogation from delivering Unadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data). The reason for this is that the data from the surveys on Short-term statistics, salaries, already are calendar adjusted when collected.  

5.3.1. Data completeness - rate

The data completeness rate is 100 per cent.


6. Accuracy and reliability Top
6.1. Accuracy - overall

The basis for calculating LCI come from four surveys, conducted monthly. See below.

6.2. Sampling error

LCI is based largely on Short-term statistics, wages and salaries, private sector (KLP), Short-term statistics, salaries, in the county councils (KLL), Short-term statistics, salaries, governmental sector (KLS) and Short-term statistics, salaries, in the municipalities (KLK).

Only the Short-term statistics, wages and salaries, private sector (KLP) is sampled, the other sources are completely surveyed.

 

Sample size in KLP 2022

NACE n # of employees in sample # of employees grossed up
B 35 9 104 9 939
C 1 098 320 618 522 842
D 93 23 065 29 800
E 116 16 814 21 276
F 472 82 368 290 658
G 558 243 240 531 876
H 386 130 244 216 261
I 397 39 887 138 514
J 349 108 009 195 641
K 183 70 806 93 443
L 311 31 995 61 414
M 392 95 249 225 488
N 332 147 035 252 170
P 346 51 624 109 281
Q 321 157 204 242 834
R 294 26 211 55 501
S 376 33 039 79 976
  6 059 1 586 512 3 076 912

 

The selection of the private sector consists of approximately 6 100 companies with approximately 1.5 million employees, or about 2 percent of the enterprises and about 44 percent of employees in industry B-S. The Short-term statistics, wages and salaries, private sector (KLP) contains only companies with more than four employees. From the companies with more than four employees, the sample corresponds to about 6 percent of the total amount of companies and about 49 percent of the employees. For the public sector, census surveys are made for county councils, governmental sector and municipalities respectively. The following presents a summary of the number of enterprises and number of employees according to both KLP and the Business Register (FDB). Enterprises with 1 to 4 employees make up some 69 percents of all enterprises and some 10 percents of all employees. A model is used to estimate data for these enterprises, using KLP-figures on wages and number of employees of enterprises with 5 to 9 employees, in combination with figures from the Business Register (FDB), regarding enterprises with 1 to 4 and 5 to 9 employees. The model is based on the assumption that average cost and average number of hours worked is equal between enterprises employing 1 to 4 employees and those employing 5 to 9.

 

Population in the Business register 2021

(The sample for KLP is drawn in November the year before)

  Enterprises with > 4 employees Enterprises with > 0 employees
NACE # of enterprises # of employees # of enterprises # of employees
B 117 10 232 255 10 496
C 9 817 517 102 19 662 536 413
D 298 25 820 491 26 168
E 404 22 452 730 23 099
F 14 964 296 525 47 392 355 793
G 17 917 544 509 46 479 601 266
H 5 242 222 277 14 145 238 387
I 9 964 181 327 19 498 202 647
J 4 810 193 706 23 239 221 197
K 1194 93 764 4 579 99 390
L 2 727 63 221 14 156 82 118
M 9 211 248 506 59 033 322 101
N 5 753 288 228 15 070 305 417
P 3 390 102 611 7 022 108 782
Q 3 860 234 524 12 967 249 237
R 2 848 59 295 10 952 72 864
S 3 622 77 503 15 235 97 276
  96 138 3 181 602 310 905 3 552 651

 

 

 

6.2.1. Sampling error - indicators

Optional

NACENACE

6.3. Non-sampling error

See below

6.3.1. Coverage error

LCI is based largely on Short-term statistics, wages and salaries, private sector (KLP), Short-term statistics, salaries in the county councils (KLL), Short-term statistics, salaries, governmental sector (KLS) and Short-term statistics, salaries, in the municipalities (KLK). Only the Short-term statistics, wages and salaries, private sector (KLP) is sampled, the other sources are completely surveyed.

There is minimal coverage error in the sources.

6.3.1.1. Over-coverage - rate

No studies on coverage errors in the surveys are made.

6.3.1.2. Common units - proportion

In the surveys, there are no administrative sources. Three of the four sources are completely surveyed, while one source is a sample survey. No studies on coverage errors in the sample survey are made.

6.3.2. Measurement error

Measurement error largely occurs due to providers failing to understand information or provide data according to given instructions. No studies of measurement error in the survey is made.

6.3.3. Non response error

Non-response error is minimal in the public sector. In the private sector, the non-response rate of the surveyed employees was around 1,5 per cent for 2022.

6.3.3.1. Unit non-response - rate

The unit non-response rate was around 8 per cent for companies in the private sector.

6.3.3.2. Item non-response - rate

Optional

6.3.4. Processing error

See below

6.3.4.1. Imputation - rate

Using figures in the Short-term statistics for private and public sector, the cut-off model and the different constants, calculations are carried out on sums of the cost components LCI_TOT, LCI_WAG, LCI_TXB and LCI_OTH as well as on number of hours worked by NACE Rev. 2 and quarter. By dividing these sums of costs respectively by the number of hours worked, an average hourly cost of each component is calculated.

Subsequently, indices for each component and NACE are calculated per quarter, using the formula stipulated in the regulation. This quota is the factor by which the index of the previous year is to be multiplied to obtain the index of the current quarter.

The Short-term statistics, wages and salaries, which is the major part of the data in LCI, is carried out on a monthly basis. The figures are aggregated to quarterly figures to calculate LCI. Statutory and agreed social contributions and payroll taxes are calculated using annual percentages on wage sums from the Short-term statistics. Compensation of lost pay due to nonbusiness days and benefits in the private sector are calculated using constants obtained from the annual survey Wage and salary structures, private sector (SLP). From the annual bonus survey, a quarterly constant is used for the inclusion of irregular bonuses in the LCI. Figures on number of hours worked used in LCI have been surveyed since 2001, in the KLP.

The enterprises in the sample report figures on wages and figures on number of hours worked as monthly aggregates for their manual workers and non-manual workers respectively. To obtain LCI, the sum of the monthly figures of each quarter is divided between the different NACE groups, stipulated by the regulation. For enterprises with 1 to 4 employees, number of hours worked is estimated by a model using the number of hours worked in enterprises with 5 to 9 employees from the KLP and figures on the number of employees in enterprises with 1 to 4 and 5 to 9 employees from the Business Register (FDB).

No administrative data is used to calculate LCI. However, some standard components are used to calculate cost components not obtainable from the KLP, KLL, KLK and KLS:

• Statutory and agreed social contributions and wage taxes; calculated as a percentage of the wage sum – sources: Confederation of Swedish Enterprise, Swedish Association of Local Authorities and Regions (SALAR) and The Swedish Agency for Government Employers (SAGE).

• Holiday pay – source: Confederation of Swedish Enterprise.

• Absent time generating holiday pay funds – source: Labour Force Survey.

• Compensation of lost pay due to nonbusiness days, benefits – source: the annual survey Wage and salary structures, private sector.

• Bonus (private sector) – source: calculated using constants obtained from the annual bonus survey.

6.3.5. Model assumption error

Optional

6.4. Seasonal adjustment

The seasonal adjustments are done according to the internal guidelines at Statistics Sweden, which are based on the ESS Guidelines. The seasonal adjustment is performed by the procedure PROC X12 in SAS 9.4, which is originally based on X12-ARIMA methodology developed by U.S Census Bureau. The models will be re-identified once a year, and coefficients are estimated every time the new or revised data is available. The series are seasonally adjusted separately and by a direct approach. The outlier treatment is performed by a completely automatic procedure. Relevant diagnostics tables are saved after the seasonal adjustment, in order to make it possible to evaluate the results from each different production occasion.



Annexes:
SA-template for quality reporting
6.5. Data revision - policy

6.5.1 NACE Rev. 1
The method of estimation of the data regarding Q1 2005 and forward has been modified in accordance of the requirements of regulation No. 450/2003. The new method has also been applied on indices dating back to Q1 of 2004. Also, indices have been adjusted due to the change of reference year to 2000.


6.5.2 NACE Rev. 2
LCI is adjusted consecutively during the subsequent quarter since non-responsive enterprises may turn in their figures at a point of time when the index is already published, and that retroactive pay is reported continuously for the previous four quarters. One other advantage of the revision of indices for the whole year is that it is possible to get the outcome of the contractual social contributions for the previous year as opposed to the estimation used in the current year. For example, the LCI figure of Q1 2017 is regarded a preliminary figure when the LCI figure for Q2, Q3 and Q4 of 2017 are published. When Q1 of 2018 is published, the definite figure of Q1 of 2017 is updated.

6.6. Data revision - practice

For more information see 6.5.

6.6.1. Data revision - average size

Optional


7. Timeliness and punctuality Top
7.1. Timeliness

2022Q1: t+ 70 days

2022Q2: t+ 70 days

2022Q3: t+ 70 days

2022Q4: t+ 70 days

7.1.1. Time lag - first result

No national publication of results from the delivered LCI has been made in Sweden. For more information see 9. Accessibility and clarity.

7.1.2. Time lag - final result

No national publication of results from the delivered LCI has been made in Sweden. For more information see 9. Accessibility and clarity.

7.2. Punctuality

LCI was delivered on time for the year 2022.

7.2.1. Punctuality - delivery and publication

2022Q1: +/- 0 days

2022Q2: +/- 0 days

2022Q3: +/- 0 days

2022Q4: +/- 0 days


8. Coherence and comparability Top

Internal coherence

8.1. Comparability - geographical

The LCI for Sweden is not divided into regions.

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not relevant

8.2. Comparability - over time

NACE Rev. 2
As of Q1 2008, when the new reference year (2008) and NACE Rev. 2 where introduced, both private and public sectors are included in the Swedish LCI series. From the same period irregular bonuses were also included in LCI. Before Q1 2008 only the private sector where included in the series.

8.2.1. Length of comparable time series

See above

8.3. Coherence - cross domain

Fore more information see 8.5

8.4. Coherence - sub annual and annual statistics

Not available.

8.5. Coherence - National Accounts

Below is presented a comparison between the change in labour cost per hour from the national accounts (NA) and the change in the LCI for the years 2020 to 2022. The reason that the percental change differs between LCI and NA is mainly because they use different sources and that LCI is not available in unadjusted series. The percentage change for NA is calculated from unadjusted series where hours worked varies. This is the case for both the table and the diagrams below.

Percentage change compared to same period in previous year, LCI and NA

NACE Rev. 2 2020 2021 2022
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4
LCI B-S* 3,0 -2,7 1,7 3,2 3,1 7,8 2,4 2,0 3,0 2,9 3,7 3,1
NA B-S 3,5 1,9 5,4 4,0 5,4 2,4 1,7 2,7 3,5 4,8 2,7 2,3

 

*LCI is calendar adjusted, not seasonally adjusted. LCI results are compiled on the data described in section 6.3.4.1. Enterprises with 1-4 employees are model calculated. 

 

Annual change in labour cost per hour per quarter, LCI and NA, NACE B-S

 

Annual change in labour cost per hour per quarter, LCI and NA, NACE B-E

Annual change in labour cost per hour per quarter, LCI and NA, NACE F

 

Annual change in labour cost per hour per quarter, LCI and NA, NACE G-N

 

Labour cost per hour per quarter, LCI and NA, NACE O-SAnnual change

 

8.6. Coherence - internal

Quality checks are undertaken during data production that ensure the LCI data are consistant over time.


9. Accessibility and clarity Top

No national publication of results from the delivered LCI has been made in Sweden, and no results from the survey have been sent to the reporting units during the last year.

A publication with the same name (“Labour Cost index”) is made by Statistics Sweden. This is a further processed version where the results are categorized by manual and non-manual workers and only for the private sector. Bonuses are also excluded. Note that this publication has no effect on the production of the Labour Cost Index sent to Eurostat.

Statistics Sweden's website has links to Eurostat's database.

9.1. Dissemination format - News release

For more information see 7.1.1.

9.2. Dissemination format - Publications

For more information see 7.1.1.

9.3. Dissemination format - online database

Not available.

9.3.1. Data tables - consultations

Optional

9.4. Dissemination format - microdata access

Optional

9.5. Dissemination format - other

Optional

9.6. Documentation on methodology

Not available.

9.7. Quality management - documentation

Not available.

9.7.1. Metadata completeness - rate

Optional

9.7.2. Metadata - consultations

Optional


10. Cost and Burden Top

The burden for respondents has been estimated to approximate 20 minutes per survey.


11. Confidentiality Top
11.1. Confidentiality - policy

The information that is reported to Statistic Sweden is protected by confidentiality according to chapter 24 section 8 of the Secrecy Act (2009:400).

11.2. Confidentiality - data treatment

We do among other things a disclosure control on all data before delivering.


12. Comment Top

 

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Related metadata Top


Annexes Top