ANALYSIS OF MACRO LABOUR
COSTS DATA USING THE
INDIVIDUAL DATA
Romana Korenič
Radenci, 7. – 9. November 2011
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Content
• Introduction
• Method
• Results
• Further steps and conclusion
Analysis of macro labour costs data using the individual data
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Aim of the project
• Project is co-financed by Eurostat
• Establishing the database of different internationally
comparable indicators for further calculation of labour
productivity considering the labour heterogenity.
The project contains two tasks:
1. The calculation of labour costs for self-employed
2. The calculation of labour costs for different labour
categories (by gender, by educational level, by age
groups).
Analysis of macro labour costs data using the individual data
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Labour costs
• Labour costs of employees = Compensation of
employees
• Labour costs of self-employed = part of Mixed
income
Mixed income:
• Labour costs of self-employed
• Operating surplus
Analysis of macro labour costs data using the individual data
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Method
Disaggregation the National accounts data on:
• employment,
• compensation of employees and
• mixed income.
Analysis of macro labour costs data using the individual data
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Method (contd).
1. Linkage:• individual data from personal taxation database
• individual data from Statistical register of employed persons
2. Aggregation the data into 18 labour categories• Gender: 2
• Education: 3; low, medium, high
• Age groups: 3; 15-29, 30-50, 50+
3. Calculation the labour costs for self-employed
Analysis of macro labour costs data using the individual data
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Method (contd.)
Assumption:
labour costs for employees = labour costs for self
employed;
(within the same labour category within the same
activity)
Analysis of macro labour costs data using the individual data
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Labour composition by categories, 2009
Analysis of macro labour costs data using the individual data
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50000
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250000
ed 1 ed 2 ed 3 ed 1 ed 2 ed 3 ed 1 ed 2 ed 3 ed 1 ed 2 ed 3 ed 1 ed 2 ed 3 ed 1 ed 2 ed 3
15-29 30-50 50+ 15-29 30-50 50+
men woman
number
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Average monthly labour costs by gender, 2009, EUR
Analysis of macro labour costs data using the individual data
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A B C D E F G H I J K L M N O P Q R STU
EUR
Activities NACE Rev. 2
women men
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Average monthly labour costs by gender, age 30-50,
medium level of education 2009, EUR
Analysis of macro labour costs data using the individual data
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500
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A B C D E F G H I J K L M N O P Q R STU
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Activities NACE Rev. 2
women men
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Average monthly labour costs by level of education, 2009,
EUR
Analysis of macro labour costs data using the individual data
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A B C D E F G H I J K L M N O P Q R STU
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Activities NACE Rev. 2low medium high
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Average monthly labour costs by level of education, men,
30-50, 2009, EUR
Analysis of macro labour costs data using the individual data
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A B C D E F G H I J K L M N O P Q R STU
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Activities NACE Rev. 2low medium high
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Average monthly labour costs by age groups, 2009, EUR
Analysis of macro labour costs data using the individual data
0
500
1000
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3500
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A B C D E F G H I J K L M N O P Q R STU
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Activities NACE Rev. 2
15-29 30-50 50+
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Average monthly labour costs by age groups, men, higher
level of education, 2009, EUR
Analysis of macro labour costs data using the individual data
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1000
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6000
7000
A B C D E F G H I J K L M N O P Q R STU
EUR
Activities NACE Rev. 2
15-29 30-50 50+
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Summary of the results
Comparison among labour categories:
• Educational level: criteria with the biggest
influence on the differences in labour costs
among labour categories
• Gender: labour costs are not higher for men in
all activities
• Age: also important, differ widely among
categories and activities.
Analysis of macro labour costs data using the individual data
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Summary of the results (contd.)
Problem encountered• Labour costs for self employed in 2009
EUR 4,066 mio
• Mixed income in 2009 EUR 3,413 mio
• Assumption (labour costs are the same for all
employed persons within the same labour
category) seems to be problematic
• additional criteria should be taken into
consideration
Analysis of macro labour costs data using the individual data
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Further steps
• making calculation on the basis of different assumption, considering the difference in labour costs by institutional sector
• End of project: December 2012
• Publishing the data: 2013
Analysis of macro labour costs data using the individual data