National Accounts and Employment Data
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Transcript of National Accounts and Employment Data
National Accounts and Employment Data
Group of Experts on National AccountsGeneva 25-28 April 2006
Purposes of employment data in the national accounts
• Consistency checks (use of all available information in the NA compilation)
• General user interest in reconciliation between NA labour inputs and basic labour market statistics.
• Produktivity analysis• Employment effects (such as input-output
impact analysis)
SNA Chapter XVII Population and labour Input
Population and labour measures
Stocks (number of persons, point in time)• Population• EmploymentTransactions• Jobs (average end of quarter/month)• (Full time equivalent employment) • Total hours worked during period
(possibly broken down by educational level etc.)
Major sources for employment data in national accounts
• (Population census)• Labour Force Surveys (LFS)• Enterprise/establishment based
surveys• Register based employment
statistics------------------------------------------• Labour accounting systems
Problems in compiling employment data
• Definition of employment (ILO)
• Classifications by economic activity
• Economic units
• Informal economy
• Globalisation
General observations on LFS
• LFS (with certain adjustments) as the overall benchmark for employment in the eoconomy.
• Only the LFS measures hours worked• The classification by economic activity in
the LFS is not reliable enough (sample size, classification method) for direct use in the national accounts. (Overruled by establishment surveys/administrative data and other)
Adjustments of employment data to national accounts concepts
Adjustment of total:• Net non-resident employees (national vs.
domestic) • Hidden economy
Reallocation by economic activity (neutral)• Alternative sources by economic activity• Special NA activity classification• Adjustment to compensation of employees• General reconciliation algorithm
Hidden economy and employment
Figure 1 Hidden economy
Hiddeneconomy
More employedpersons
More hoursworked
No more employedpersons
No more hoursworked
Special NA economic activity classification
”Pure” activities in national accounts such as for example:
• Agriculture• Construction• TradeEmployment must be reclassified to
be consistent with the economic activity classification.
Other classification issues
• Ancillary corporations (SNA 4.40-44) created specifically to employ all staff of a parent corporation
• More generally labour contracting activities (belonging to the ISIC group ”Labour recruitment and provision of personnel”)
Questions
• Preliminary vs. final data (annual and quarterly)
• Transparency and the reconciliation process. (Micro-macro links?)
• Restrictions on the concialition process (on increases in hourly wages and/or labour productivity etc.)
Reliability of estimates by industry
Variable Coefficient of variation
Output 1 per cent
Intermediate consumption 2 per cent
(Assumed correlation between output and intermediate consumption 0,5)
Employment 1 per cent
Prices 1 per cent
Increase in labour productivity between period 0 and period 1
95 per cent confidence interval:
Plus/minus 5 percentage points
Questions on Russian estimates
• Restrictions on the reconciliation process (using the three sources: LFS, establishment surveys and administrative registers)
• Employment data used to estimate production in branches dominated by small enterprises
• Labour productivity: Trends, but not levels• ”Pure” types of activity (product groups)• Labour productivity per unit of output by ”pure”
types of activity. For assessing industrial labour requirements.
Questions on the Canadian estimates
• Restrictions build into the multistop reconciliation algorithm (using the three sources: LFS, establishment surveys and administrative registers).
• How are the variance estimates (sampling and non-sampling errors) made?
• Interpretation of the levels of labour productivity• Use of LFS data in construction, retail trade and
hotels and restaurants (in spite of lack of precise industry code) to capture clandestine work.