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Measuring Informal Work
ICHD Study Week: Accelerating
Progress on SAARC Development Goals
(SDG’s)
Renana Jhabvala, SEWA
Outline of Remarks
• Conceptual Debate
- Informal Economy: Concepts, Definitions, Significance,
Progress made in this new field of statistics
• Existing Practices
- MDGs, SDGs and SaarcDGs
- Data availability
- Data on informal employment in South Asia
- Categories of informal workers
• India Experiences
- Improper enumeration and women’s work
- Changes in Survey design in employment-unemployment rounds of NSSO
Resources
Why is it Important?
• Increasing employment opportunities, improving quality
of employment and raising the returns to labour are key
pathways to poverty reduction and egalitarian and
sustainable development
• The quality of employment is generally lower in the
informal economy than in the formal economy
• Informal rather than formal employment is on the rise
• Informal rather than formal employment is the main
source of employment for women and for men in South
Asia
The Informal Economy: What is it?
Different Schools of Thought:
oentrepreneurial activities/enterprises:
capable of independent dynamic growth
osurvivalist activities/enterprises: not
capable of dynamic growth without support
osubordinated
activities/enterprises/workers: dependent
on or exploited by capitalist firms
ocriminal-underground activities/units:
dealing with illegal goods or services
Informal Economy Statistics Internationally
 International Labour Organization and the
ICLS
 Delhi Group on Informal Sector Statistics
(UN) 11 meetings from 1997 to 2010.
 Women in Informal Employment
Globalizing and Organizing (WIEGO)
www.wiego.org
 46 Country Central Statistics agencies
Informal Sector, Employment and Economy:
Definitions
There are three related official statistical terms and definitions which
are often used imprecisely and interchangeably by analysts and
observers:
• informal sector refers to the production and employment that
takes place in unincorporated small or unregistered enterprises
(1993 ICLS)
• informal employment refers to employment without social
protection (i.e. without employer contributions) – both inside
and outside the informal sector (2003 ICLS)
• informal economy refers to all units, activities, and workers so
defined and the output from them (ILO 2002).
In sum, the informal economy is the diversified set of economic
activities, enterprises and workers that are not regulated or
protected by the state; and the output from them.
Informal Employment Framework
and Status in Employment Categories
• Self-Employed in Informal Enterprises (i.e. unincorporated
enterprises that may also be unregistered and/or small)
o employers
o own account operators
o unpaid contributing family workers
o members of informal producer cooperatives
• Wage Workers in Informal Jobs (i.e. jobs without
employment-linked social protection)
o informal employees of informal enterprises
o informal employees of formal firms
o domestic workers hired by individuals/households without
employer contributions
Significance
The informal economy is large by whatever measure is used:
o share of non-agricultural employment: 45-82 % of
non-agricultural employment in developing regions
(WIEGO 2014 - the 82 % is South Asia – highest of all
sub-regions world-wide
o share of enterprises: own account enterprises alone
(i.e., those without hired workers) account for 85% of
total enterprises in India (National Sample Survey
Organisation 2012)
o share of GDP: informal enterprises (i.e., the informal
sector) contribute 25-50% per cent of non-agricultural
Gross Value Added in developing countries (ILO-WIEGO
2013) - 46.8 % contribution of informal (unorganized)
sector –India 2008
Highlights of Progress in this New Field since 1993 ICLS
Resolution on Statistics on the Informal Sector
• Adoption of definition of “informal employment” by
2003 ICLS
• Increase in countries with statistics on informal
employment – 46 in ILO-WIEGO database and
more….
• 2 issues of ILO/WIEGO Women and Men in the
Informal Economy, 2002 and 2013 and 2 sets of
regional estimates of informal employment in
developing countries, Statistics on the Informal
Economy: Definitions, Regional Estimates and
Challenges WIEGO Working Paper No. 2
• Measuring Informality: A statistical manual (ILO)
Data Needs for Monitoring MDGs, SDGs
and for Policies Related to Employment
Labour Force Surveys that provide data on informal and
formal employment; competing priorities in statistics
budget but for these issues full labour force survey rather
than a multi-purpose household survey is optimal
- Labour force survey data on informal employment
available for Bangladesh, India, Pakistan (informal
sector but not informal employment outside informal
sector), Sri Lanka*
Need questions and tabulations that identify special
categories of informal workers
Cont….
- Place of work question --Bangladesh, India, Nepal
and Pakistan have this question in their labour force
surveys and it has been used to prepare compilations
of home-based workers (See WIEGO Statistical Brief on
home-based workers in each of the countries.)
Need Proper Training of Enumerators to capture
Women’s Work
Data on Informal Employment in South
Asia (2004-2012)*
• Informal employment 82 % of non-agricultural employment
- 83% women and 82% men
- Range 62% in Sri Lanka to 84% in India
• Informal self-employment as % of Non-agricultural informal
employment
- 58% women and 51% men
• Contributing family workers as % on non-agricultural informal
employment
- 26% women and 9% men
* From WIEGO Working Paper no. 2 Statistics on the Informal Economy:
Definitions, Regional Estimates and Challenges 2014. Based on analytic
method using both direct and indirect estimates of country data.
Home-Based Workers in South Asia
How many home based workers(HBW) are there?
• In 2009-2010, Bangladesh had 2 million HBWs.
• In 2011-2012, India had 37.4 million HBWs.
• In 2008, Nepal had 0.92 million HBWs.
• In 2008-2009, Pakistan had1.43 million HBWs.
Based on country-level data it can be roughly estimated
there are over 41 million HBW in these four South Asian
countries. However, there seems to be undercounting
of women workers
Men and Women in Home-Based Work
0
20
40
60
80
100
120
bangladesh india nepal pakistan total
men
women
Four Groups of Urban Informal Workers
India 2011-12
% of Urban
Employment
% of Urban Informal
Employment
Total Male Female Total Male Female
Domestic Workers 5 2 13 6 3 17
Home-Based Workers 14 10 32 17 12 40
Street Vendors 4 4 3 5 5 3
Waste Pickers 1 .5 2 1 1 3
All Flour 23 17 49 29 21 62
Improper Enumeration Excludes Women’s
Work: Example of FWPR Bihar
MWPR FWPR TWPR
Bihar (NSS) 81 11 47
India 83 39 62
Figure 2.1: WPR of Women and Men in Rural Bihar
and India (15–59 years)
Improper Enumeration Excludes Women’s
Work: Example of FWPR Bihar
MWPR FWPR TWPR
Bihar (NSS) 81 11 47
Bihar IHD 89 56 73
Figure 2.2: WPR of Women and Men in Rural Bihar
(NSS and IHD data, 15–59 years)
Recent Changes in
Survey Design of India’s NSSO
Employment-Unemployment
Rounds and Their Impact
(from Dr. Raveendran, NSSO retd.)
55th Round (1999-2000)
 Changes
 Introduced data elements for the measurement of
informal sector and informal employment
 Included a question “whether worked under given
specifications” required for the identification of
‘home-workers’
 Impacts
 Data of informal sector and Informal employment
became available
 Data on home-based and home-workers became
available
61st Round (2004-05)
Changes
 Introduced Panel Sampling
 Place of code expanded without changing
the structure
 The question “whether worked under given
specifications” required for the estimation of
home-workers dropped
66th Round (2009-10)
 Changes
 Adopted Revised Occupational (NCO – 2004) and
Industry (NIC - 2004) codes
 Introduced two types of Consumer Expenditure
Surveys (Double sample) along with the Employment
– Unemployment Survey
 Restricted the sample size to 10 households for each
survey
66th Round (2009-10)
 Impact
 NCO – 68 had 5 digit code and data recorded in 3
digits.
 NCO – 2004 had 6 digits and data recorded in 3 digits
 Thus, data on detailed occupational status became
unavailable and comparisons with earlier rounds
became difficult
 Reduction of sample size resulted in non-capture of
several activities pursued by poor classes of population
 Change of code structure of place of work resulted in
the misclassification of workers, particularly home-
based workers
Un-realistic Fluctuations in Shares of Home-
based Workers Among Total Workers in
Custom Tailoring in Gujarat
Year HBWs (000) Percentage
share
2004 - 05 222.1 62.6
2009 - 10 104.4 28.4
2011 - 12 451.4 76.7
Un-realistic Fluctuations in Shares of Home-Based
Workers Among Total Bidi Workers in Bihar
Year HBWs (000) Percentage
share
2004 - 05 78.7 90.7
2009 - 10 36.9 22.3
2011 - 12 312.8 93.7
68th Round (2011-12)
Changes
 Adopted Revised Industry (NIC - 2008)
 Codes for recording place of work were
further revised
 Continuation of Double sample for CES
and reduced sample size of 10 households
 Data items for the estimation of home
workers dropped
68th Round (2011-12)
 Impacts
 NIC – 2008 was structurally different from earlier
version of NIC
 Adopted without field testing & establishing
comparability with earlier rounds
 Industry level comparable estimates with earlier
rounds not feasible
 Errors in recording of place of work reduced
 Many activities of regional importance could not be
captured due to reduced sample size
 Sampling errors of estimates of different categories
of workers increased
Resources
• ILO-WIEGO Women and Men in the Informal Economy. Geneva
2013
• ILO. Measuring informality: A Statistical Manual on the
Informal Sector and informal Employment. Geneva, 2013
• Raveendran, Govindan, Ratna M. Sudarshan and Joann Vanek.
2013 Home-Based Workers in India: Statistics and Trends.
WIEGO Statistical Brief No. 10
• Vanek, Joann, Martha Chen, Françoise Carré, James Heintz and
Ralf Hussmanns. 2014. Statistics on the Informal Economy:
Definitions, Regional Estimates and Challenges WIEGO Working
Paper (Statistics) No. 2
Resources
Measuring informality:
A statistical manual
on the informal sector and
Informal employment
Resources
ILO, Statistics Institute of Asia-Pacific
(SIAP), ADB, WIEGO and India CSO Training
workshop on statistics on the informal
economy to be held in India during the
2nd week of February
If interested please write to Joann Vanek
(WIEGO) at joann_vanek@hotmail.com
Measuring informal work Reenana Jhabwala

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Measuring informal work Reenana Jhabwala

  • 1. Measuring Informal Work ICHD Study Week: Accelerating Progress on SAARC Development Goals (SDG’s) Renana Jhabvala, SEWA
  • 2. Outline of Remarks • Conceptual Debate - Informal Economy: Concepts, Definitions, Significance, Progress made in this new field of statistics • Existing Practices - MDGs, SDGs and SaarcDGs - Data availability - Data on informal employment in South Asia - Categories of informal workers • India Experiences - Improper enumeration and women’s work - Changes in Survey design in employment-unemployment rounds of NSSO Resources
  • 3. Why is it Important? • Increasing employment opportunities, improving quality of employment and raising the returns to labour are key pathways to poverty reduction and egalitarian and sustainable development • The quality of employment is generally lower in the informal economy than in the formal economy • Informal rather than formal employment is on the rise • Informal rather than formal employment is the main source of employment for women and for men in South Asia
  • 4. The Informal Economy: What is it? Different Schools of Thought: oentrepreneurial activities/enterprises: capable of independent dynamic growth osurvivalist activities/enterprises: not capable of dynamic growth without support osubordinated activities/enterprises/workers: dependent on or exploited by capitalist firms ocriminal-underground activities/units: dealing with illegal goods or services
  • 5. Informal Economy Statistics Internationally  International Labour Organization and the ICLS  Delhi Group on Informal Sector Statistics (UN) 11 meetings from 1997 to 2010.  Women in Informal Employment Globalizing and Organizing (WIEGO) www.wiego.org  46 Country Central Statistics agencies
  • 6. Informal Sector, Employment and Economy: Definitions There are three related official statistical terms and definitions which are often used imprecisely and interchangeably by analysts and observers: • informal sector refers to the production and employment that takes place in unincorporated small or unregistered enterprises (1993 ICLS) • informal employment refers to employment without social protection (i.e. without employer contributions) – both inside and outside the informal sector (2003 ICLS) • informal economy refers to all units, activities, and workers so defined and the output from them (ILO 2002). In sum, the informal economy is the diversified set of economic activities, enterprises and workers that are not regulated or protected by the state; and the output from them.
  • 7. Informal Employment Framework and Status in Employment Categories • Self-Employed in Informal Enterprises (i.e. unincorporated enterprises that may also be unregistered and/or small) o employers o own account operators o unpaid contributing family workers o members of informal producer cooperatives • Wage Workers in Informal Jobs (i.e. jobs without employment-linked social protection) o informal employees of informal enterprises o informal employees of formal firms o domestic workers hired by individuals/households without employer contributions
  • 8. Significance The informal economy is large by whatever measure is used: o share of non-agricultural employment: 45-82 % of non-agricultural employment in developing regions (WIEGO 2014 - the 82 % is South Asia – highest of all sub-regions world-wide o share of enterprises: own account enterprises alone (i.e., those without hired workers) account for 85% of total enterprises in India (National Sample Survey Organisation 2012) o share of GDP: informal enterprises (i.e., the informal sector) contribute 25-50% per cent of non-agricultural Gross Value Added in developing countries (ILO-WIEGO 2013) - 46.8 % contribution of informal (unorganized) sector –India 2008
  • 9. Highlights of Progress in this New Field since 1993 ICLS Resolution on Statistics on the Informal Sector • Adoption of definition of “informal employment” by 2003 ICLS • Increase in countries with statistics on informal employment – 46 in ILO-WIEGO database and more…. • 2 issues of ILO/WIEGO Women and Men in the Informal Economy, 2002 and 2013 and 2 sets of regional estimates of informal employment in developing countries, Statistics on the Informal Economy: Definitions, Regional Estimates and Challenges WIEGO Working Paper No. 2 • Measuring Informality: A statistical manual (ILO)
  • 10. Data Needs for Monitoring MDGs, SDGs and for Policies Related to Employment Labour Force Surveys that provide data on informal and formal employment; competing priorities in statistics budget but for these issues full labour force survey rather than a multi-purpose household survey is optimal - Labour force survey data on informal employment available for Bangladesh, India, Pakistan (informal sector but not informal employment outside informal sector), Sri Lanka* Need questions and tabulations that identify special categories of informal workers
  • 11. Cont…. - Place of work question --Bangladesh, India, Nepal and Pakistan have this question in their labour force surveys and it has been used to prepare compilations of home-based workers (See WIEGO Statistical Brief on home-based workers in each of the countries.) Need Proper Training of Enumerators to capture Women’s Work
  • 12. Data on Informal Employment in South Asia (2004-2012)* • Informal employment 82 % of non-agricultural employment - 83% women and 82% men - Range 62% in Sri Lanka to 84% in India • Informal self-employment as % of Non-agricultural informal employment - 58% women and 51% men • Contributing family workers as % on non-agricultural informal employment - 26% women and 9% men * From WIEGO Working Paper no. 2 Statistics on the Informal Economy: Definitions, Regional Estimates and Challenges 2014. Based on analytic method using both direct and indirect estimates of country data.
  • 13. Home-Based Workers in South Asia How many home based workers(HBW) are there? • In 2009-2010, Bangladesh had 2 million HBWs. • In 2011-2012, India had 37.4 million HBWs. • In 2008, Nepal had 0.92 million HBWs. • In 2008-2009, Pakistan had1.43 million HBWs. Based on country-level data it can be roughly estimated there are over 41 million HBW in these four South Asian countries. However, there seems to be undercounting of women workers
  • 14. Men and Women in Home-Based Work 0 20 40 60 80 100 120 bangladesh india nepal pakistan total men women
  • 15. Four Groups of Urban Informal Workers India 2011-12 % of Urban Employment % of Urban Informal Employment Total Male Female Total Male Female Domestic Workers 5 2 13 6 3 17 Home-Based Workers 14 10 32 17 12 40 Street Vendors 4 4 3 5 5 3 Waste Pickers 1 .5 2 1 1 3 All Flour 23 17 49 29 21 62
  • 16. Improper Enumeration Excludes Women’s Work: Example of FWPR Bihar MWPR FWPR TWPR Bihar (NSS) 81 11 47 India 83 39 62 Figure 2.1: WPR of Women and Men in Rural Bihar and India (15–59 years)
  • 17. Improper Enumeration Excludes Women’s Work: Example of FWPR Bihar MWPR FWPR TWPR Bihar (NSS) 81 11 47 Bihar IHD 89 56 73 Figure 2.2: WPR of Women and Men in Rural Bihar (NSS and IHD data, 15–59 years)
  • 18. Recent Changes in Survey Design of India’s NSSO Employment-Unemployment Rounds and Their Impact (from Dr. Raveendran, NSSO retd.)
  • 19. 55th Round (1999-2000)  Changes  Introduced data elements for the measurement of informal sector and informal employment  Included a question “whether worked under given specifications” required for the identification of ‘home-workers’  Impacts  Data of informal sector and Informal employment became available  Data on home-based and home-workers became available
  • 20. 61st Round (2004-05) Changes  Introduced Panel Sampling  Place of code expanded without changing the structure  The question “whether worked under given specifications” required for the estimation of home-workers dropped
  • 21. 66th Round (2009-10)  Changes  Adopted Revised Occupational (NCO – 2004) and Industry (NIC - 2004) codes  Introduced two types of Consumer Expenditure Surveys (Double sample) along with the Employment – Unemployment Survey  Restricted the sample size to 10 households for each survey
  • 22. 66th Round (2009-10)  Impact  NCO – 68 had 5 digit code and data recorded in 3 digits.  NCO – 2004 had 6 digits and data recorded in 3 digits  Thus, data on detailed occupational status became unavailable and comparisons with earlier rounds became difficult  Reduction of sample size resulted in non-capture of several activities pursued by poor classes of population  Change of code structure of place of work resulted in the misclassification of workers, particularly home- based workers
  • 23. Un-realistic Fluctuations in Shares of Home- based Workers Among Total Workers in Custom Tailoring in Gujarat Year HBWs (000) Percentage share 2004 - 05 222.1 62.6 2009 - 10 104.4 28.4 2011 - 12 451.4 76.7
  • 24. Un-realistic Fluctuations in Shares of Home-Based Workers Among Total Bidi Workers in Bihar Year HBWs (000) Percentage share 2004 - 05 78.7 90.7 2009 - 10 36.9 22.3 2011 - 12 312.8 93.7
  • 25. 68th Round (2011-12) Changes  Adopted Revised Industry (NIC - 2008)  Codes for recording place of work were further revised  Continuation of Double sample for CES and reduced sample size of 10 households  Data items for the estimation of home workers dropped
  • 26. 68th Round (2011-12)  Impacts  NIC – 2008 was structurally different from earlier version of NIC  Adopted without field testing & establishing comparability with earlier rounds  Industry level comparable estimates with earlier rounds not feasible  Errors in recording of place of work reduced  Many activities of regional importance could not be captured due to reduced sample size  Sampling errors of estimates of different categories of workers increased
  • 27. Resources • ILO-WIEGO Women and Men in the Informal Economy. Geneva 2013 • ILO. Measuring informality: A Statistical Manual on the Informal Sector and informal Employment. Geneva, 2013 • Raveendran, Govindan, Ratna M. Sudarshan and Joann Vanek. 2013 Home-Based Workers in India: Statistics and Trends. WIEGO Statistical Brief No. 10 • Vanek, Joann, Martha Chen, Françoise Carré, James Heintz and Ralf Hussmanns. 2014. Statistics on the Informal Economy: Definitions, Regional Estimates and Challenges WIEGO Working Paper (Statistics) No. 2
  • 28. Resources Measuring informality: A statistical manual on the informal sector and Informal employment
  • 29. Resources ILO, Statistics Institute of Asia-Pacific (SIAP), ADB, WIEGO and India CSO Training workshop on statistics on the informal economy to be held in India during the 2nd week of February If interested please write to Joann Vanek (WIEGO) at joann_vanek@hotmail.com