Dataset:   Dimensions: ( .ULQC....... )    
Main Economic Indicators   Quarterly total labour costs - Raw Data   Version française

Manipulation
Validation
Quality evaluation for quarterly proxy variables of total labour costs

Unit Labour Costs (ULC) are calculated as the ratio of total labour costs to real output. In the OECD System of Unit Labour Cost Indicators the target variable for the quarterly indicator of total labour costs is compensation of employees compiled according to the System of National Accounts 1993 (SNA93). Where this target variable is not available a suitable proxy is sought, with the following general order of preference: gross wages and salaries; labour cost index multiplied by total hours worked; average earnings multiplied by total employment.

Where the use of proxy variables is required, an indicator of their quality can be determined by evaluating the correlation between annual growth rates in the proxy indicator and that of the SNA93 benchmark data. The following table (as collated on 16 March 2007) presents these correlations and also describes the type of proxy variable used.

The correlations give an indication of the reliability of the total labour cost proxy variable used in the compilation of the ULC for the relevant country and economic activity. A low correlation implies that users should take caution when viewing the resultant quarterly ULC prior to reconciliation with annual benchmark data (which generally occurs with a 12-18 month lag). However the following processes used in the OECD System of Unit Labour cost Indicators also need to taken into account when understanding how these proxy variables are treated:

  • Benchmarking: As part of the compilation, all quarterly variables are benchmarked (temporally disaggregated) against annual SNA93 values; and for all countries SNA93 data is available. This benchmarking procedure, using the Fernandez method in the software package Ecotrim, will in simple terms ensure that the proxy quarterly total labour cost value has a correlation of 1 with the annual value for the overlapping period. As part of the Fernandez method also, the quarterly end points where there is no supporting annual data will in essence be smoothed and trend towards the long-term series average.
  • Seasonal adjustment: The final quarterly ULC are seasonally adjusted using the TRAMO-SEATS method in the software package Demetra. In addition to the seasonally adjusted series, TRAMO-SEATS produces a trend-cycle series that includes all non-seasonal and non-irregular movements in the underlying time series. This series can be regarded as a smoothed seasonally adjusted series, where the degree of smoothing is dependent on the underlying ARIMA model.

The OECD has performed extensive testing of both the Fernandez and TRAMO-SEATS methodologies. These methodologies together ensure that the quarterly series is in line with the countries authoritative annual SNA93 data and the quarterly volatility is reduced but at the same time effectively extracting the underlying signal from the raw data.


Country - Activity

Quarterly Proxy Variable

Overlap

Correlation

Australia - Manufacturing

Survey of Wages and Salaries

1984-2005

0.826

Australia - Industry

Survey of Wages and Salaries

1984-2005

0.847

Australia - Construction

Survey of Wages and Salaries

1984-2005

0.565

Australia - Trade, transport, and communication

Survey of Wages and Salaries

1984-2005

0.746

Australia - Finance and business services

Survey of Wages and Salaries

1984-2005

0.824

Australia - Market services

Survey of Wages and Salaries

1984-2005

0.851

Australia - Business sector

Survey of Wages and Salaries

1984-2005

0.921

Belgium - Manufacturing

Gross Wages and Salaries Index

1981-2005

0.847

Canada - Manufacturing

Survey of Wages and Salaries

1971-2002

0.993

Canada - Industry

Survey of Wages and Salaries

1971-2002

0.990

Canada - Construction

Survey of Wages and Salaries

1971-2002

0.976

Canada - Trade, transport, and communication

Survey of Wages and Salaries

1971-2002

0.981

Canada - Finance and business services

Survey of Wages and Salaries

1971-2002

0.897

Canada - Market services

Survey of Wages and Salaries

1971-2002

0.974

Canada - Business sector

Survey of Wages and Salaries

1971-2002

0.989

Japan - Manufacturing

Monthly Labour Survey

1971-2005

0.981

Japan - Industry

Monthly Labour Survey

1991-2005

0.866

Japan - Construction

Monthly Labour Survey

1991-2005

0.628

Japan - Trade, transport, and communication

Monthly Labour Survey

1991-2005

0.432

Japan - Finance and business services

Monthly Labour Survey

1991-2005

0.746

Japan - Market services

Monthly Labour Survey

1991-2005

0.500

Japan - Business sector

Monthly Labour Survey

1991-2005

0.801

Korea - Total economy

Monthly Labour Survey

1990-2005

0.874

Korea - Manufacturing

Monthly Labour Survey

1993-2004

0.800

Korea - Industry

Monthly Labour Survey

1994-2004

0.803

Korea - Construction

Monthly Labour Survey

1994-2004

0.655

Korea - Trade, transport, and communication

Monthly Labour Survey

1994-2004

0.760

Korea - Finance and business services

Monthly Labour Survey

1994-2004

0.512

Korea - Market service

Monthly Labour Survey

1994-2004

0.799

Korea - Business sector

Monthly Labour Survey

1994-2004

0.848

Mexico - Manufacturing

Compilation Index1

1981-2004

0.982

New Zealand - Total Economy

Earnings and Employment Survey

1990-2004

0.934

New Zealand - Manufacturing

Earnings and Employment Survey

1990-2002

0.925

New Zealand - Industry

Earnings and Employment Survey

1990-2002

0.957

New Zealand - Construction

Earnings and Employment Survey

1990-2002

0.727

New Zealand - Trade, transport, and communication

Earnings and Employment Survey

1990-2002

0.843

New Zealand - Finance and business services

Earnings and Employment Survey

1990-2002

0.894

New Zealand - Market services

Earnings and Employment Survey

1990-2002

0.900

New Zealand - Business sector

Earnings and Employment Survey

1990-2002

0.959

Portugal - Manufacturing

Gross Wages and Salaries Index

1996-2006

0.718

Portugal - Industry

Gross Wages and Salaries Index

1996-2006

0.747

Portugal - Construction

Gross Wages and Salaries Index

2001-2006

0.273

Portugal - Market services

Compilation Index2

2001-2006

0.278

Portugal - Business sector

Compilation Index2

2001-2006

0.718

Romania - Total EconomyCompilation Index32000-070.822
Romania - ManufacturingGross Wages and Salaries Index 1999-20050.493
Romania - IndustryGross Wages and Salaries Index 1999-20050.664
Romania - ConstructionGross Wages and Salaries Index 1999-20050.817
Romania - Trade, transport and communicationCompilation Index32000-050.818
Romania - Financial and business servicesCompilation Index32000-050.093
Romania - Market servicesCompilation Index32000-050.835
Romania - Business sectorCompilation Index32000-050.832

United States - Manufacturing

Current Employment Statistics Survey

1971-2005

0.938

United States - Industry

Current Employment Statistics Survey

1971-2005

0.939

United States - Construction

Current Employment Statistics Survey

1971-2005

0.926

United States - Trade, transport, and communication

Current Employment Statistics Survey

1973-2005

0.789

United States - Finance and business services

Current Employment Statistics Survey

1973-2005

0.827

United States - Market services

Residual Compilation4

1971-2005

0.900

Notes:
For Japan, Korea, and the United States, the proxy is the multiplicative sum of: average earnings; and, number of employees.
For Belgium, Portugal and Romania - data is sourced via Eurostat.

Footnotes:
1. Compilation index for Manufacturing is the multiplicative sum of: Average earnings; average weekly hours of work; and, number of employees.
2 Compilation index for Market Services and the Business Sector is the multiplicative sum of: Labour cost index and Number of employees.
3. Compilation index is the product of: Labour cost index for the activity and number of employees for the activity.
4. Market Services for the US is a residual calculation compiled as: the Business Sector minus Industry minus Construction. The calculation (and the correlation) takes place after the benchmarking procedure. For more metadata see: USA Unit Labour Cost Metadata





Related Metadata:
All Higher Levels
Main Economic Indicators