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Informal Sector: Statistical Concepts

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Title: Informal Sector: Statistical Concepts


1
Informal SectorStatistical Concepts
2
What are we going to discuss today?
  • Why are we interested in informal sector
    statistics?
  • What are some related concepts?
  • How do we define informal sector?
  • What are the key criteria to facilitate data
    collection?
  • What are various tools to collect data on IS?
  • DA Project on Interregional Cooperation on the
    Measurement of Informal Sector and Informal
    Employment Unified Data Collection Strategy
  • Incorporating estimates into national accounts

3
Problem Lack of sound data
  • Informal sector not covered in official
    statistics
  • Inadequate information on contribution of
    informal sector to GDP and labour market
  • Data collections typically ad hoc studies (i.e.
    not part of regular national statistical systems)
    and with limited scope
  • Available data not internationally comparable
  • No time series data
  • Poor analysis and dissemination

4
Consequences Statistics to Policy
  • Potentially significant underestimation of the
    GDP
  • Lack of info on differential characteristics of
    informal sector enterprises in the use of
    technology, access to credit, training, markets,
    etc.
  • Lack of info on input-output relations between
    formal and informal sector enterprises
  • Lack of info on informal sectors contribution to
    employment and employment characteristics

5
Type of informal sector statistics needed
  • Total of informal sector units
  • Production and incomes generated through informal
    sector activities
  • Conditions of creation and operation of informal
    sector units
  • Total employment in informal sector units

6
Scope of Non-Observed Economy
  • Illegal
  • Underground/Concealed
  • Household production for own final use
  • Activities missed in data collection
  • Informal sector

7
NOE Components and Production Units
8
Illegal Production
Producer/service provider unlicensed
Goods or services prohibited by law
Monetary
Non-monetary
Illegal production is included in SNA 1993
production boundary in order to avoid erroneous
attributions in financial accounts/transactions.
9
Underground/concealed activities
  • Not clearly separated from illegal production
  • Mainly unreported income from production of legal
    goods and services (monetary/non-monetary)
  • Certain activities may be productive and also
    legal but deliberately concealed from public
    authorities to     (a)  Avoid the payment of
    income, value added or other taxes
        (b)  Avoid the payment of social security
    contributions     (c)  Avoid having to meet
    certain legal standards such as minimum
  • wages, maximum hours, safety or health
    standards, etc.     (d)  Avoid complying with
    certain administrative procedures, such
  • as completing statistical questionnaires or
    other administrative forms. E.g.
    construction, service industries where small
    enterprises dominate

10
Household production for own final use
  • (a) Production of agricultural products and
    their subsequent storage
  • (b) Production of other primary products such as
    mining salt, cutting peat, the supply of
    water(c)  Processing of agricultural products
  • (d)  Other kinds of processing such as weaving
    cloth dress making and tailoring the production
    of footwear the production of pottery, utensils
    or durables making furniture or furnishings
    etc.
  • Storage of agricultural goods and supplying of
    water are included in
  • the production boundary as an extension of
    production activities.

11
Statistical Underground
  • Activities missed due to data collection
    deficiencies
  • such as
  • Undercoverage of enterprises
  • (b) Non-response by enterprises (not imputed)
  • (c) Underreporting by enterprises

12
Informal Sector
  • No unified definition hampering
  • Comparable datasets
  • Comprehensive guidelines
  • Promotion of international standards
  • There are international guidelines (15th ICLS,
    17th ICLS)

13
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14
What is a household unincorporated enterprise?
  • Fixed/other K does not belong to production unit
    but to
  • owner
  • (b) Enterprises cannot engage in transactions or
    enter into contracts with other units, nor incur
    liabilities on their own behalf
  • (c) Owners have to raise the necessary finance at
    their own risk and are personally liable, without
    limit, for any debts or obligations incurred in
    the production process
  • (d) Expenditure for production is often
    indistinguishable from household expenditure
  • (e) Capital equipment may be used
    indistinguishably for business and household
    purposes

15
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16
Informal Sector Criteria, 15th ICLS
  • (a) Size The number of employees on a continued
    basis (in practice can be total employees or
    engaged) is under a specified size (depends on
    national context, not the best criterion as there
    may be small enterprises which are perfectly
    formal).
  • (b) Non-registration The enterprise is not
    registered under pertaining national legislation
    (such as factories or commercial acts, tax or
    social security laws, professional groups
    regulatory acts, or similar acts, laws or
    regulations established by national legislative
    bodies).
  • ICLS recommended the exclusion of agriculture
    from
  • scope of informal sector measurement due to
    practical
  • reasons (and we abide by this recommendation in
    our
  • project).

17
Criteria for Identifying IS Enterprise
18
Criteria Additional Optional
19
Informal Sector based on Delhi Group
Recommendations
  • For international comparability-- narrower
    definition based on the largest common
    denominator of currently used national
    definitions.
  • 3 essential criteria additional criteria to be
    applied simultaneously
  • Productive units with less than five paid
    employees, and
  • Productive units not registered, and
  • Exclusion of households employing paid domestic
    employees

20
Framework of IS Definition
Household Unincorporated Enterprises
Informal own-account enterprises
Other own-account enterprises
Own-account enterprises
Other enterprises of employers
Enterprises of informal employers
Enterprises of employers
Informal Sector
21
Informal Own-Account Enterprises
  • Operated by own-account workers, either alone, or
    in partnership with members of same or other
    households
  • May employ family workers and occasional
    employees, but not employees on continuous basis
  • Include all or exclude those registered under
    certain specified national legislation

22
Enterprises of Informal Employers
  • Owned and operated by employers, either alone or
    in partnership with members of same or other
    households, and employ one or more employees on
    continuous basis
  • Employees (hired on continuous basis) below a
    specified number
  • Non-registration of the enterprise
  • Non-registration of employees (labour laws)

23
Employment and Informality
  • Informality of employment is characterized by
    absence of
  • contracts, social protection, entitlement to
    benefits and not
  • being subject to labour legislation and income
    taxation.
  • Informal employment versus informal sector
    employment
  • Given a reference period
  • Employment in informal sector all jobs in ISEs
    or all persons who were employed in at least 1
    ISE irrespective of status (can be main/2nd job)
  • Informal employment total informal jobs in
    formal or informal sector enterprises or
    households

24
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25
NOE Components and Employment
26
THANK YOU!
www.unescap.org/stat/isie
27
Informal Sector Measurement Methods
28
How do we collect data on IS and IE?
Household Surveys
Informal Sector Surveys
Establishment Surveys
Household Income Expenditure Surveys
Labour Force Surveys
Mixed Household Enterprise Surveys
29
Household Surveys LFS
  • Measurement Objectives
  • Monitor evolution of IS employment
  • and characteristics of employees, employment
    conditions
  • Data on labour inputs can be used in conjunction
    with informal sector surveys to extrapolate data
    on other characteristics, e.g. value-added
  • Methodological Considerations
  • Additional questions or module to LFS
  • Ask all people employed during reference period
  • Ask in respect of both main and secondary jobs
  • Probing questions needed for often unreported
    activities, e.g. unpaid work, womens
    own-account/home-based activities, secondary
    activities of farmers, government officials,
    formal sector employees

30
Household Surveys LFS
  • Limitations/Concerns
  • Seasonality
  • of IS enterprises versus IS entrepreneurs
  • Disaggregation by economic activity depends on
    the sample size and design

31
Household Surveys HIES
  • Measurement Objectives
  • HH demand for goods and services produced in the
    informal sector
  • Methodological considerations
  • Info on each expenditure item, distribution based
    on place
  • Limitations/Concerns
  • Does not provide total demand but household final
    consumption only

32
Informal Sector Surveys
  • Measurement objectives
  • Collect detailed structural information ( and
    characteristics of businesses, employment, income
    generation and K equipment of ISEs,
    conditions/constraints of operation, relations to
    formal sector/public authorities
  • Tools
  • Establishment Surveys
  • Mixed Household and Enterprise Surveys

33
ISS Establishment Surveys
  • Methodological considerations
  • Prerequisite sampling frame
  • List frame often not available or do not cover hh
    enterprises
  • Establishment or economic censuses can be used as
    list frame or sampling frame (PSUs) (depending on
    the time lag of ISS)USUs would need update
  • Limitations/Concerns
  • High cost
  • Omissions
  • Duplications

34
ISS Mixed HH and Entreprise Surveys
  • Methodological Considerations
  • Based on area sampling and conducted in 2 phases
  • Phase 1 (HH Survey) Sampling frame through
    household listing/survey in selected areas or
    PSUs (all businesses and owners are identified)
  • Phase 2 (Enterprise Survey) All or a sample of
    business owners interviewed
  • Post-sampling identification
  • Possible to analyze jointly various activities of
    the same individuals/hh
  • Possible to link informal sector
    activities/business owner characteristics with
    household characteristics ? contribution of
    family members (women and children)

35
Mixed Surveys Independent Informal Sector
Surveys (1)
  • Methodological Considerations
  • Multi-stage design
  • Selection of areas as PSUs
  • Household listing or interviewing
  • Selection of sample hh with owners of potential
    IS businesses as USUs
  • Main interviewing of sample households and
    business owners
  • Density of informal sector entrepreneurs and type
    of activity (stratified sampling)
  • Info on density of employers/own-account workers
    in the enumeration areas classified by
    activity/type of work place/ employees
    concentration of small establishments
    stratification of enumeration areas by
    income/socio-economic criteria other info
    obtained during listing or data collection for
    ISS local expert knowledge.

36
Mixed Surveys Independent Informal Sector
Surveys (2)
  • Limitations/Concerns
  • High cost of survey operations, especially Phase
    1
  • Quality of listing (type of activity, basic
    characteristics data needed for stratification)
  • Listing of hh and hh-based business operators,
    establishments (different area sampling frames
    may be useddifferent geographical clustering)
  • Listing may be expanded into survey to ensure
    coverage
  • Different sampling fractions are used for
    different strata to have adequate sampling units
    from each stratum
  • Complex survey operations sample weighting and
    estimation procedures

37
Mixed Surveys Modular Approach (1)
  • Methodological Considerations
  • ISS sample is a sub-sample of the base survey
    (LFS or HIES)
  • Conducted simultaneously or consecutively
  • Allows regular/sustainable IS data collection
  • Complete coverage and accurate identification of
    IS entrepreneurs in the sample hh
  • Same sampling weights can be used as the base
    survey
  • Information on IS can be related to other info
    from the base survey

38
Mixed Surveys Modular Approach (2)
  • Limitations/Concerns
  • Need for a suitable base survey (survey
    operations and response burden)
  • Frequency/reference period of base survey
  • Base survey samples are not selected for ISareas
    or hh (disaggregation, distribution,
    representation)

39
Mixed Surveys Integrated Surveys
  • Methodological Considerations
  • Special modular approach to meet several
    objectives (IS, labour force, hh income and
    expenditure data collection)
  • Incorporate sample design requirements for IS
    measurement into the survey design (efforts
    increase of IS entrepreneurs and have better
    representation of different activities during
    sample allocation and selection)
  • Limitations/Concerns
  • Complex response burden
  • Often limited to urban areas

40
  • MODULAR APPROACH A
  • Phase 1
  • Same sample of PSUs as base
  • Sample list of USUs for base/ISS
  • Phase 2
  • Same sample of USUs for base/ISS
  • Simultaneous conduct for base/ISS
  • MODULAR APPROACH B
  • Phase 1
  • Same sample of PSUs as base
  • Different list of USUs for ISS
  • Phase 2
  • Different sample of USUs for ISS
  • Consecutive survey for ISS, e.g. 1-2-3
  • INDEPENDENT ISS APPROACH A
  • Phase 1
  • Specific sample of PSUs
  • Selection of PSU not based on IS
  • Household listing
  • Phase 2
  • Joint listing/interviewing of all IS hh
  • activities irrespective of work place
  • No stratification of samples of USUs
  • INDEPENDENT ISS APPROACH B
  • Phase 1
  • Specific sample of PSUs
  • Selection of PSU based on IS (by
  • industry)
  • Household survey
  • Phase 2
  • Separate listing/interviewing of all IS
  • establishments households
  • Stratification of samples of USUs

41
To have sound data
  • Avoid replacement
  • Improve response rate
  • Mitigate effects of reference period
  • Consider effects of seasonal variations
  • Allocate adequate resources for data editing

42
THANK YOU!
www.unescap.org/stat/isie
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