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United Kingdom

Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.

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Labour cost index (lci)

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

Compiling agency: Office for National Statistics, UK

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The Labour Costs Index (LCI) aims to provide a timely indicator of changes in the cost of labour per hour worked. It reflects changes in wages and salaries, non-wage costs, and the quantity of hours worked over the quarter and is important for monitoring inflationary pressures emanating from the labour market. In the United Kingdom, it has been relabelled the Index of Labour Costs per Hour (ILCH), as it was deemed important to acknowledge the use of an hours denominator in the title of the indicator. This report will help users understand the nature of the LCI/ILCH, and its difference from other short-term earnings indicators in the UK. ILCH is the first short term earnings per hour indicator in the UK and is an important economic gauge, as it can provide early indications of economic performance. Businesses will generally reduce the overtime and regular hours worked by existing staff before they consider reducing employment, so the average hours worked indicator is one of the first observable variables to react to changes in productivity, being able to detect movements before ‘per job’ indicators.

Annexes:
Index of Labour Costs per Hour UK statistical bulletins

Not Applicable

Labour Costs are defined as core expenditure borne by employers for the purpose of employing staff. They include employee compensation, with wages and salaries in cash and in kind, employers' social security contributions and employment taxes regarded as labour costs minus any subsidies received, but not vocational training costs or other expenditure such as recruitment costs and spending on working clothes (by contrast with multiannual and annual labour cost data). These labour cost components and their elements are defined in Commission Regulation (EC) No 1737/2005 of 21 October 2005 amending Regulation (EC) No 1726/1999 as regards the definition and transmission of information on labour costs.

The quarterly Labour Cost Index measures short-term trends in "average hourly labour costs", defined as (total) labour costs divided by the corresponding number of hours worked in the quarter in question (see Regulation (EC) No 450/2003 of the European Parliament and of the Council of 27 February 2003 concerning the labour cost index). Quarterly changes in hourly labour costs are calculated first for each economic sector (NACE Rev. 2. Sections) and then aggregated to the whole economy keeping a fixed structure (i.e. fixed weights) by industry (Laspeyres index). Therefore, the LCI does not discount the compositional effect derived from a change in the composition of employment within an economic sector. This means that, for instance, the LCI may increase due to the redundancies of low paid workers within one sector. Annual LCI figures are calculated as the arithmetic mean of the quarterly values.

All labour cost indices are annual chain-linked Laspeyres indices. Trends in average hourly labour costs for an individual economic activity/country are weighted by the total labour costs associated with that activity/country, which are fixed for one year in order to obtain national or European aggregates.

LCI data are presented in the form of index numbers (current reference year: 2016) and annual and quarterly growth rates (comparison with the previous quarter).

Apart from the overall Labour Cost Index, indices are also available for the labour cost components "wages and salaries" and "employers' social security contributions plus taxes paid minus subsidies received by the employer (Labour costs other than wages and salaries)". An index excluding "bonuses" - defined as bonuses and allowances not paid in every remuneration period is also available.

For the NACE aggregates in the LCI, item and country weights are applied. These are available as shares of 1000, i.e. for item weights, each single weight sums up to 1000 for the total labour costs in a given country for the aggregate B to S. For the country weights, they are given in relation to the total labour costs for the country aggregate.

The Index of Labour Costs per Hour is published using both index values and percentage growth.

United Kingdom (Great Britain and Northern Ireland)

As above.

Not Applicable

Data on wages and salaries are subject to revision, primarily to reflect late data or corrections to provisional data. Wages and Salaries information for LCI is drawn from the Monthly Wages and Salaries Survey (MWSS), which is also the basis for the Average Weekly Earnings (AWE) statistic, the UK’s lead measure relating to short-term changes in earnings.

Businesses with fewer than 20 employees are excluded from MWSS, to control ONS costs and respondent burden at small businesses. Employment at these businesses is taken from the IDBR, and pay is estimated using a factor derived from ASHE, which does cover small businesses.

 

Also, see section 6.5. Data revision - policy

Not Applicable

Not available

The LCI is constructed as a Laspeyres (or base weighted) index, chain-linked annually. This measures the movement in cost per hour of labour from the base period (2016 for LCI, 2000 for ILCH) to the current period. Indexation is based on constant, base period quantity weights (hours worked) for each SIC section, weighted using employment. Chain-linking is a method of constructing an index with a single reference period from two indices with different bases which overlap for some period. Therefore, for example, quarters in 2015 will be indexed to the average index value over 2014; quarters in 2014 will be indexed to the average index value over 2013, and so on. The chain-linking is based on 2000.

 

To calculate the LCI:

Total wage costs are taken from the MWSS. The data are weighted to be representative of all employee jobs. These weights are derived from the employment at individual firms, as a proportion of total employment in that stratum, as derived from the Inter-Departmental Business Register (IDBR). These weights might be further affected by non-responses that cannot be imputed for and businesses designated as outliers. Details of this and other estimation techniques required to ensure that the estimates are as accurate and comprehensive as possible are described in the Quality and Methodology Information report of the AWE.

 

The non-wage costs are calculated by applying a factor to wage costs. There are three main reasons for this approach:

  1. It is not practical to directly obtain non-wage costs data that are coherent with wage costs, and they must therefore be collected from other data sources. To make these coherent with the MWSS (the data source for wage costs), relative proportions are used rather than direct estimates of non-wage costs.
  2. The proportion of total labour costs attributable to non-wage costs is usually around 15 per cent every quarter, so a robust but simple method for estimation is appropriate.
  3. The LCI is designed to measure growth in labour costs, so the impact of non-wage costs is only important if their proportionate contribution to labour costs changes over the short term. Any such changes are likely to be small.

 

Based on information from the UK's Labour Costs Survey (2000), the Labour Costs Index excludes only a small percentage of cost items. The structure of labour costs in the UK indicates that more than 95 per cent of total labour costs would be captured by an estimate that included pay, payments for days not worked, employers’ voluntary and statutory social contributions and benefits in kind. In light of this the LCI development was confined to identifying suitable estimators for these components of labour costs. In doing so the ONS explicitly recognises that the indicator will approximate movements in total labour costs, but there is likely to be little value-added from the inclusion of the less than 5 per cent of non-wage labour costs that can only be imprecisely measured. Examples of non-wage costs which are not included in LCI are redundancy payments and employee savings schemes, both of which have been proven difficult for businesses to provide at the required frequency and aggregation level.

 

Finally, LCI is published for United Kingdom. The MWSS does not sample for businesses in the Northern Ireland, and therefore a Northern Ireland component is estimated as part of the LCI production process. This involves creating factors from the Annual Survey of Hours and Earnings, for each stratum, to take into account the differences in the average pay between GB and Northern Ireland. Generally, the average pay in Great Britain is higher than that in Northern Ireland; this is seen in NACE sections B (mining and quarrying) and K (financial and insurance activities) in particular, see chart below.

 

Comparisons of average pay for GB and NI, 2019

 

 

Hours worked – description of methods

Measures of hours are important economic gauges, as they can provide indications of economic performance. The average hours worked indicator is one of the first observable variables to be affected in productivity; businesses will generally reduce the overtime and regular hours worked by existing staff before they consider reducing employment. LCI relates to employees only, and so the total hours worked by them include those worked and paid at both ordinary time and at premium rate, together with those worked for no payment (typically unpaid overtime). The total excludes time not worked because of sickness, annual leave, statutory holidays, special leave, meal breaks and because of part-time working. Some of these components will be paid while others will not. The process of obtaining information on total hours worked (for use in the denominator for the Labour Costs Index) is clearly a complicated process.

 

The ONS pilot business survey of hours worked indicated that businesses were unable to provide this information at the aggregate level required. Given this, it has been necessary to develop a methodology to estimate hours using alternative, existing sources. The ONS uses data from both household and business surveys to generate a total hours worked series. The use of an employer survey would ensure that the sample is consistent with the numerator, both in terms of sample business composition and the classifications of the employees to their industrial sector, although this places burden on businesses and there is an inability to assess their accuracy and consistency.

 

Thus, the methodology used for the LCI denominator combines average quarterly total hours worked, from the LFS, with the number of employees from the MWSS for each industrial classification. This approach ensures consistency between the employment estimates that drive total hours worked, in the denominator, and wages and salaries estimates that drive total labour costs, in the numerator. This same principle, of combining average total hours worked from the LFS, with employment estimates from a business survey, is used by Statistics Canada.

 

The LFS is a household survey that is the ONS’s primary source for hours worked information in the UK. The data for the total number of hours worked are typically presented for an average week in the quarter, rather than the total number of hours worked in the quarter itself. The LFS is important because it allows the ONS to capture information on actual hours worked (rather than usual hours worked or actual hours paid). This has the advantage of providing information on changing working patterns, e.g. the amount of unpaid overtime being worked, and the affect of paid and unpaid leave, which can have important impacts on the LCI. However, there are quality issues with proxy response, classification of the economic sector in which the employee is working and the exclusion of jobs that are described as the third or more job of an individual. Further details on the LFS are available from the LFS quality and methodology information report [1].

 

To provide some confirmation of the quality of the hours data produced by the LFS, and particularly the classification to industry, work was undertaken to assess the main differences in data produced by the LFS and ASHE. Comparisons were made between paid hours information from the two surveys, as ASHE does not collect information on actual hours worked. The data from the two sources were shown to be similar, with little difference in the mean and distribution of hours worked.

 

Thus, the LCI estimates hours worked by using estimates of average total hours worked by employees, as measured by the LFS, together with estimates of gross employment produced using data from the MWSS. Thus, the average earnings per hour worked is then the ratio of two, independent, self-consistent terms: 

This method ensures that the LFS is used in a way that best brings the business (MWSS) and household (LFS) data onto a similar footing. The estimation of total hours worked is undertaken on a continuous basis in the LFS and so the production of the denominator for the LCI can be accomplished for each calendar quarter.

 

Wages and Salaries

Wages and salaries must be obtained and aggregated in a suitable way, and adjusted for payments for days not worked because of sickness and maternity, benefits in kind and employer social contributions.

 

The wages and salaries component of the numerator comprises approximately 85 per cent of total labour costs and is obtained from the MWSS. The MWSS yields sufficient information to meet the requirements to estimate direct remuneration. The other components [non-wage labour costs, including sickness, paternity and maternity payments, benefits in kind, pension contributions and national insurance contributions] can be calculated (with varying degrees of precision) from existing sources.  In doing so, due recognition is given to the need to reflect seasonality and diversity in terms of industry of some components of labour costs.

 

As noted previously, the MWSS provides the main input to the numerator of the LCI, in the form of employers' wages. This uses a ratio method to estimate both total wages and total number of employees for divisions of the Standard Industrial Classification (SIC). Aggregation of these estimates over component divisions of SIC sections enables the estimation of total pay for each SIC section. This yields an estimate that is close to the target variable for LCI (WAG) – the wage index produced as part of LCI.

 

Sickness, maternity and paternity payments

A factor for sickness, maternity and paternity pay is calculated using data from the LFS. The adjustment for costs for days not worked is made by calculating the costs associated with sickness, paternity and maternity absence. The LFS measures the number of hours an employee usually works and the number of hours actually worked. Where there is a difference, the survey asks for the reason and classifies these to different categories.  Among these is the category ‘sickness, paternity and maternity’, and so it is possible to obtain, with a reasonable degree of precision, the proportion of hours 'lost' to an employer. This proportion can then be used to adjust the total wage costs and reallocate the amount to LCI (OTH – the ‘other labour costs’ index produced as part of LCI). Data from the LFS are available each quarter, so adjustments for sickness and maternity pay are specific to each quarter.

 

Benefits in kind

The costs of benefits in kind are estimated using data obtained from the LCS. The data is used to calculate SIC division level factors that show the proportion of total labour costs that can be ascribed to benefits in kind. The estimates of wages and salaries are then augmented by the appropriate proportions in each quarter. This approach yields a constant for benefits in kind as a proportion of total pay in each quarter, which is updated when new LCS data become available, approximately every three years. 

 

National Insurance contributions

National Insurance contributions (NIC) can be estimated using published rates. These rates are used in conjunction with unit level data from ASHE to calculate NIC factors at SIC division level. The calculation of National Insurance contributions factors is straight forward since the costs depend on the level of pay to an employee. Using data for individual employees, we can derive a precise estimate of the employers' national insurance contribution.  This estimate uses not only the gross pay for the employee, but also the pension arrangements the employee has made, which means adjustments for rebates can accurately be calculated.  The factors are applied to the gross wages and salaries estimates produced using the MWSS data to obtain an estimate of employers' statutory social contributions.

 

Employer pension contributions

Voluntary social contributions are primarily in respect of occupational pension schemes.  Data are derived from the ABS, which is conducted as part of ONS's compliance with the structural business statistics regulation. The issue of pension contributions is complex, since this depends on the employers' and employees' occupational pension arrangements. The contributions as a proportion of total personnel costs are used to derive a factor for each SIC division and this factor is fixed for several successive quarters. The ONS recognises that the contributions employers actually make to occupational pension schemes do change. However, the change is unlikely to be so dramatic over a period of a year to make a significant difference to the estimate of the rate of growth in total labour costs. Analysis has been undertaken to ensure that the variability in factors each year does not result in any 'shifts'. The pension factor is updated each year as new data become available.

 


[1] https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/labourforcesurveyperformanceandqualitymonitoringreports

Not Applicable

The production process is being assessed over the phases of implementation to ensure that the estimates are delivered on the expected date.

 

The timing and punctuality of LCI will follow the release practices for the Labour Market Statistics. The timing will not be influenced by the content of the release or set in such a way as to create a presumed advantage to any particular group or individual. Should ILCH be endorsed as a National Statistic, it will be subject to the National Statistics code of practice on release procedures. LCI UK data is currently submitted to Eurostat by 70 days after the reference period and is published by ONS on the same day as the Eurostat release.

 

2019Q1: t+ 70 days

2019Q2: t+ 70 days

2019Q3: t+ 70 days

2019Q4: t+ 70 days

The UK LCI is comparable with that of other countries as the same guidelines are followed.

The ONS provides a comprehensive ILCH series from 2000, consistent in data sources and methodology. Before that time, assumptions have had to be made in deriving the back series to 1996. Previously the ONS provided Eurostat with an ‘Interim LCI’. 

 

As part of the 2007 annual seasonal adjustment review, our Time Series Analysis Branch assessed constructing a back series from 1996 Q1 to 1999 Q4. The estimated back series was tested to see whether there was a significant change in the seasonal behaviour of the series from 2000 Q1 onwards.  New back series were then estimated firstly using the interim Labour Cost Index (LCI) and then using the back series from the method described above together with regARIMA modelling to take advantage of the more current data. 

 

There is no clear way of quantitatively evaluating the back series produced and therefore the recommended choice of back series should be based on the relative merits of the methods used to produce the series.  Ultimately this means that the choice will depend upon whether it is believed that the stable seasonal pattern that is shown in many of the ILCH series (particularly at the industry group level) would likely have continued back to 1996 Q1 or whether there would have been different movements more closely linked to the series used to derive the back series in the method described without regARIMA modelling. Using the above method together with regARIMA modelling essentially adjusts the back series created to account for significant differences between it and the level and seasonal pattern of ILCH.

 

There has been one major change to ILCH/LCI since it was first published in 2005. This was the move in October 2010 to the use of NACE 2 from NACE 1 (to SIC 2007[1] from SIC 2003 in the UK). Other minor methodological improvements were made at the same time as the SIC 2007 transition. Firstly, the method for calculating monthly and quarterly pay was altered slightly to simplify the ILCH production process. Secondly, the method for estimating the labour costs for Northern Ireland was slightly improved. As a result, changes in the structure and level of employment in Northern Ireland are now taken into account in a more timely fashion. These two changes have had very little impact on the published ILCH figures.

 

In 2015, changes were made to the Average Weekly Earnings (AWE) regarding how those businesses with fewer than 20 employees were estimated. (Businesses with fewer than 20 employees are not sampled to minimise respondent burden.) As a result of this change, ILCH/LCI was revised back to 2010 using the revised AWE figures. This had a mimimal effect on ILCH/LCI estimates.

 


[1] SIC2007 is identical to the equivalent European Union classification system, NACE rev.2, down to and including the four digit class level

Annexes:
Methodology: Average Weekly Earnings revised estimation for employers with under 20 employees