progress report on expert groups on micro and macro household statistics
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Progress report on Expert Groups on micro and
macro household statistics
WPNA meetingOctober 2011
Maryse FESSEAU
(OECD – Statistic Directorate, National Accounts Division)
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Outline of presentation
1. Update on the Expert Groups
2. First results related to National Accounts
3. Emphasize the household perspective through National Accounts data at the international level
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1. Update on the Expert Groups on Households’ economic resources
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Reminder
Two Expert Groups on Households’ economic resources
OECD Expert Group on Micro Statistics on Income, Consumption and Wealth (EG ICW – 17 NSOs), aiming at:
– Pursuing methodological work to develop standards and guidelines for measuring household wealth through surveys
– Proposing a framework for joint analysis of micro data on households income, consumption and wealth
OECD-Eurostat Expert Group on Disparities in a National Accounts Framework (EG DNA – 25 NSOs), aiming at:
– Using existing micro sources to produce indicators of disparities by group of households consistent with SNA totals – feasibility study (country pilot studies)
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First meeting and inputs
EG ICW + EG DNA : first meeting in Paris, March 2011
EG ICW + EG DNA : new inputs required and initiatedEG ICW: Survey of country practices on wealth (micro) statistics
Sent to 34 countries (all NSOs represented in CSTAT (members and observers), and non-OECD EU countries ); 31 answers. EGDNA : Survey of country practices on Households National Accounts
compilation (from production to saving, incl. StiK)
Sent to 42 countries (OECD/EU27/EFTA/EG DNA). 39 answers. EGDNA: Questionnaire comparing micro and macro data sources (for
income, consumption and wealth)
Sent to 25 EG DNA countries. 19 answers.
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Next steps and meetings
EG ICW / EG DNA
2nd meeting (Paris, Dec 2011) 3rd meeting (mid-2012) End-work: end 2012 Early 2013: draft final report to CSTAT for
comments under written procedure
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2. First results related to National Accounts
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EG DNA survey on HH current accounts Sent to 42 countries (OECD/EU27/EFTA/EG DNA) 39 responses (32 OECD, 24 EU27, India) Focus:
– On annual data– On current accounts: from production to saving, including social transfers
in kind Main information collected for the HH sector:
– Delineation– Method and source used by transaction– Adjustments made– Indicators released at the country level– Improvements planned in the medium/short term
Preliminary results: some answers still to be checked
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EG DNA survey: sector delineation
Non-Profit Institutions Serving Households (NPISHs)– Nearly 1/3 publish HH accounts mixed with NPISHs
Remark: 1 out of 4 in EU27 countries– In most countries the absence of separate accounts reflects
a lack of data source
Nb countries Nb countries Nb countriesHouseholds and NPISHs separately 25 66% 21 66% 18 75%Only Households and NPISHs combined 12 32% 10 31% 6 25%Households only 1 3% 1 3% 0 0%Total 38 100% 32 100% 24 100%Source: EG DNA survey 2011
All OECD EU27
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EG DNA survey: sector delineation
Unincorporated enterprises (UE)– Wide range of situations across the 38 countries
• 3 countries do not include UE at all• 13 countries include all the UE• Other countries include a part of them, using different criteria and
different tresholds
– Difference in the share of UE income in HH income (proxi. mixed income as a % of disposable income)
….could be due to delineation gaps
All OECD EU27Less than 10% 9 8 510% to less than 20% 18 15 1320% to less than 30% 5 5 330 % to less than 50% 2 1 150% or more 1 0 1Total 35 29 23
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EG DNA survey: method and sources Information by income/consumption transaction Method: 4 response items
– Direct estimation independent of other sector accounts, – Estimation using counterpart information from other sectors, – Estimation as a residual from the total economy– Not included
Sources: 6 response items, multiple choices allowed– Household survey,– Administrative records,– Mixed survey and administrative records,– Business sample survey,– Economic census,– Trade sources.
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EG DNA survey: method and sources Method by income transaction
Source: EG DNA survey 2011
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EG DNA survey: method and sources Sources by income transaction
Source: EG DNA survey 2011
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EG DNA survey: method and sources
Method by consumption transaction
Source: EG DNA survey 2011
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EG DNA survey: method and sources
Sources by consumption transaction
Source: EG DNA survey 2011
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EG DNA survey: adjustments Different type of adjustments: conceptual, exhaustiveness,
balancing Not all countries implement the same adjustments…
….whereas some adjustments can have a strong impact on the final amount (more than 80%)
% of countries applying the adjustmentAll OECD EU27
84% 88% 92%
58% 59% 71%
82% 81% 92%
37% 41% 50%
5% 6% 4%Source: EG DNA survey 2011
Illegal productive activities (e.g. prostitution, narcotics production/distribution)
Illegal non-productive activities (e.g. extorsion) generating income transfers received by households
Underground production (deliberate under-declaration activity) by unincorporated enterprises generating households' mixed income
Underground production (deliberate under-declaration activity) by corporations generating income transfers received by households
Fisim
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% of countries that compile social transfers in kind including: All OECD EU2786% 90% 88%89% 90% 92%92% 94% 92%92% 97% 88%92% 94% 88%86% 84% 88%56% 48% 63%61% 55% 71%25% 29% 38%
Source: EG DNA survey 2011
Governement expenditures on services provided to individual pupils and studentsSupport in kind in connection with family/childrenSupport in kind in connection with unemploymentSupport in kind in connection with housingOther components
Health, entirely Health related products obtained by households either with or whithout prescription Medical, dental, and paramedical services delivered to outpatients Services of general and specialists hospitals which provide in-patient services
EG DNA survey: social transfers in kind Only 2 countries do not estimate a separate item for
STiK Among the 36 countries that estimate STiK:
– 3 countries do not include Education– 5 countries do not include all the Health components
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EG DNA survey: aggregates published
In level (amount in national currency)
Total (gross)
Total (net*)
Per capitaPer
households/ Per CU
Compensation of employees (D1) 97% 11% 0%
Disposable income (B6) 84% 84% 26% 0%Final consumption expenditures (P3) 95% 24% 0%
Adjusted disposable income (B7) 76% 71% 18% 3%Actual final consumption (P4) 76% 18% 0%* net of consumption of fixed capital
In real growth (%)
Total (gross)
Per capita
Per households/
Per CU
Disposable income (B6) 39% 13% 3%Final consumption expenditures (P3) 74% 11% 0%
Adjusted disposable income (B7) 24% 8% 0%Actual final consumption (P4) 32% 8% 0%
Saving ratio (in %) 66%
Source: EG DNA survey 2011
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EG DNA survey: conclusions The HH sector is estimated by using mainly direct and
counterpart information Micro and macro data sources are not completely disconnected
even if the HH accounts is affected by adjustments Sharing knowledge on country practices is crucial to knowing
whether gaps are significant
=> Especially where HH aggregates are used to benchmark country performances
Countries could already improve the emphasis on HH aggregates by publishing more aggregates
More than half of the countries are planning to work on the HH sector in the medium/short term
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3. Emphasize the household perspective through National
Accounts data at the international level
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The annual aggregates currently emphasized at the OECD
National Accounts at a Glance (NaaG) 2010
OECD Factbook
How is Life ?
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Annual aggregates currently emphasized at the OECD
HOUSEHOLDS AGGREGATES NaaG 2010 OECD Factbook 2010 How is Life ?
Compensation of employees by activity % of gross value added
Social benefits to households (incl. STiK) % of GDP,% of total general government expenditures
HH Disposable income In % of the disposable income of the total economy
Average annual growth rate (in %), in real term
HH Adjusted disposable income US $ at current PPPs per capita; In % of the disposable income of the total economy
US $ at current PPPs per capita - Net value*
HH Final consumption expenditures % of GDP, annual growth rates (%) in volume
Actual consumption % of GDP, annual growth rates (%) in volume
HH Saving rate % of HH disposable income, Net value*
% of HH disposable income - Net value*
Net lending/borrowing % of GDP
Non-financial assets held by households US $ at current PPPs per capita
Financial assets of households US $ at current PPPs per capita; Structure (in %) by type of assets
Financial wealth (assets minus liabilities) US $ at current PPPs per capita
* Net of consumption of fixed capital
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Other annual aggregates could be emphasized
Financial indicators: OECD financial Dashboard
Combination of financial and non-financial indicators Household net worth
Non-financial indicators, such as: Adjusted disposable income (as % of primary
income) Housing costs (as % of HH disposable income)
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Other annual aggregates could be emphasized
Adjusted disposable income (% of primary income)
= Do HHs benefit from the redistribution process?
Scope: countries with detailed information on the HH (S14) sector in the OECD database for 2000 and 2008
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Other annual aggregates could be emphasized
Housing costs (% of disposable income)
Scope: countries with detailed information on the HH (S14) sector in the OECD database for 2000 and 2008
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Other annual aggregates could be emphasized
CONCLUSIONS:
Financial indicators: Information available, work on-going
Combination of financial and non-financial indicators Work to be done, country coverage issue
Non-financial indicators: Information available, relevance of indicators should
be investigated
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To go forward… COMPILATION
– Encouraging the compilation of HH accounts close to SNA for better homogeneity
– Encouraging the compilation of HH balance sheets DATA COLLECTION
– Develop collection/exchanges on metadata DISSEMINATION
– Paper on the EG DNA survey to share the information– Introduction of new HH indicators in the current OECD
publications– OECD financial Dashboard– Press release on HH
Not forgetting: HH quarterly sector accounts !
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Thank you for your attention.
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