12 November 2007Zeynep Orhun, Statistics Division Informal Sector: Statistical Concepts.

Slides:



Advertisements
Similar presentations
Status of work on the International Classification of Status in Employment David Hunter ILO Department of Statistics Meeting of the Expert Group on International.
Advertisements

Production of Statistics on Informal Sector Employment and Informal Employment in Namibia By Panduleni C Kali.
WORKSHOP ON INDUSTRIAL STATITICS, 8 – 10 JULY 2013 COUNTRY PRESENTATION MALDIVES.
GDP and INFORMAL SECTOR in Mongolia
Mexico's experience using enterprise-based surveys to measure entrepreneurship Félix Vélez Fernández Varela National Institute of Statistics and Geography,
Exhaustiveness- Non-Observed Economy – Informal Sector Accounting
United Nations Economic Commission for Europe Statistical Division Labor Statistics: Informal Employment UNECE Statistical Division.
Valentina Stoevska Department of Statistics International Labour Office- Geneva 1 International Labour Organisation,
1 The Measurement of Informal Sector and Employment: Case Study of Palestine Saleh ALKAFRI Director General of Economic Statistics, Palestinian Central.
Copyright 2010, The World Bank Group. All Rights Reserved. Integrating Agriculture into National Statistical Systems Section A 1.
Copyright 2010, The World Bank Group. All Rights Reserved. Estimating informal production, part 2 1 Business statistics and registers.
1 Workshop on Informal Employment and Informal Sector Data Collection: Strategy, Tools and Advocacy Amman, April 2008 Phase2: Sample design, measurement.
Copyright 2010, The World Bank Group. All Rights Reserved. Core and Supplementary Agricultural Topics Section B 1.
AN OVERVIEW OF INFORMAL ECONOMY- AN ECONOMIC PERSPECTIVE PRESENTATION TO THE MSUNDUZI MUNICIPALITY INFORMAL ECONOMY DAY ON THE 08 TH MAY 2015 Dumi ka Mzila.
Copyright 2010, The World Bank Group. All Rights Reserved. Estimating informal production, part 1 1 Business statistics and registers.
1 Session Number: Session 5a (Parallel) “ Measuring the Informal Economy in Developing Countries ” September 24, 16:00-17:30 Informal Sector and Informal.
Copyright 2010, The World Bank Group. All Rights Reserved. 1 GOVERNMENT FINANCE STATISTICS COVERAGE OF THE GFS SYSTEM Part 1 This lecture defines the concept.
African Centre for Statistics United Nations Economic Commission for Africa Short overview of institutional sectors accounts Clementina Ivan-Ungureanu.
1 Selected Issues with Implementation of 2008 SNA (continued) Training Workshop on System of National Accounts for ECO Member Countries October 2012,
1 Palestinian Central Bureau of Statistics PCBS Experience in Measuring Informal Sector 13-15/04/2008.
Project on Interregional Cooperation on the Measurement of Informal Sector and Informal Employment ESCWA Workshop on Informal Employment and Informal Sector.
Copyright 2010, The World Bank Group. All Rights Reserved. Sources of Agricultural Data Section A 1.
African Centre for Statistics United Nations Economic Commission for Africa Annex B: Informal Economy in the context of GDP exhaustiveness Ramesh KOLLI.
THE NON-OBSERVED ECONOMY (NOE): Current Practice in Mongolia B. Badamtsetseg Director of Macro economic statistics department Meeting of the Group of Experts.
Overview of the main changes in IRDTS 2008 Workshop for African countries on the Implementation of International Recommendations for Distributive Trade.
Development Account Project on the IS: implementation of the ‘1-2 Survey’ in the ESCWA region Giovanni Savio, Statistics Division, UN-ESCWA Expert Group.
1 ESCWA/UNSD Expert Group Meeting on National Accounts May 2009, Cairo, Egypt Gulab Singh UN Statistics Division Exhaustive Measurement of Economy.
Ezequiel Lourenço António Luís (Head of Division) Accra, Ghana January 2009 Labour Force Survey in Angola Global Forum on Gender Statistics.
African Centre for Statistics United Nations Economic Commission for Africa Handbook on Supply and Use Table: Compilation, Application, and Good Practices.
1 Workshop on Informal Employment and Informal Sector Data Collection: Strategy, Tools and Advocacy Amman, April 2008 Phase1 of the 1-2 survey: Concepts.
United Nations Statistics Division Work Programme on Economic Census Vladimir Markhonko, Chief Trade Statistics Branch, UNSD Youlia Antonova, Senior Statistician,
Statistics on the ‘Informal’ Economy  Informal Sector  Informal Employment Presentation by: Margarita F Guerrero Inter-regional Workshop on the Production.
Copyright 2010, The World Bank Group. All Rights Reserved. Economic statistics, part 2 Business statistics; core element of economic statistics 1 Business.
1 Statistical business registers as a prerequisite for integrated economic statistics. By Olav Ljones Deputy Director General Statistics Norway
International Labour Office Department of Statistics Informal employment: Review of concepts and methods Elisa M. Benes Department of Statistics International.
Session 5: International Standard Classification of Status in Employment, 1993 (ICSE-93) David Hunter International Labour Office Department of Statistics.
1 Overview of Economic Statistics in Africa UNECA Andry Andriantseheno Regional Workshop on Basic Economic Statistics Addis-Ababa October 2007.
CASE STUDIES OF SOME SURVEYS IN SADC COUNTRIES Experience from Tanzania Household Surveys and Measurement of Labour Force with Focus on Informal Economy.
Labour force surveys for measuring employment in the informal sector and informal employment Ralf Hussmanns Head, Methodology and Analysis Unit Bureau.
1 The World Census of Agriculture 2010 Programme : a Modular Approach Jack Colwell Hiek Som FAO Statistics Division MEXSAI, November 2004.
Design and Implementation of Labour Force and Informal Sector Surveys : the case of Madagascar Patrick Léon Randriankolona Madagascar.
ESA95 Basic principles. ESA95 – Basic principles Units Flows and stocks Accounting rules.
ILO Department of Statistics Measurement of the informal employment and employment in the informal sector September 2011 ILO Department of Statistics (T.
METAC Workshop March 14-17, 2016 Beirut, Lebanon National Accounts Compilation Issues Session 13: Non- observed economy.
1 Unified Data Collection on the Informal Sector Workshop on Economic Statistics & the Informal Sector Tehran, November 2007 Margarita F Guerrero.
African Centre for Statistics United Nations Economic Commission for Africa 2. Identifying informal sector and informal employment Ramesh KOLLI African.
PFTAC GDP Compilation and Forecasting Workshop Measuring the Non-Observed Economy Suva, Fiji October 17-21, 2016.
Challenges for Trade Unions
MEDSTAT Regional Workshop on Statistics of Informal Work   Paris, July 2017 Data sources for producing statistics on the informal economy Household.
Statistical definitions of informal economy Informal sector
Statistical definitions of informal economy Informal employment
Gross Domestic Product (GDP) Concepts/ the Informal Economy and GDP G
Mapping National Definitions of Informal Employment to International Statistical Standards G.Raveendran.
FORMAL SECTOR INFORMAL SECTOR INFORMAL EMPLOYMENT HOUSEHOLD UNITS.
Inter-related, NOT Interchangeable
Data collection programmes: Data sources for the informal sector
Informal Sector Statistics
Goods and services account
Tite Habiyakare, Senior Statistician,
Woman Participation in the Palestinian Labour Market
EMPLOYMENT & INFORMAL SECTOR STATISTICS IN ETHIOPIA
Organization of efficient Economic Surveys
Regional Workshop on Basic Economic Statistics
Production account THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION.
Tite Habiyakare, Senior Statistician,
Concepts of industry, occupation and status in employment - Overview
Data collection programmes: Data sources for the informal sector
UNECA/UNSD Regional Workshop November 2005 Informal sector
Woman Participation in the Palestinian Labour Market
Selected Issues with Implementation of 2008 SNA (continued)
Presentation transcript:

12 November 2007Zeynep Orhun, Statistics Division Informal Sector: Statistical Concepts

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

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

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 sector’s contribution to employment and employment characteristics

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

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

NOE Components and Production Units

Illegal Production Goods or services prohibited by law Producer/service provider unlicensed Illegal production is included in SNA 1993 production boundary in order to avoid erroneous attributions in financial accounts/transactions. MonetaryNon-monetary

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

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.

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

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

Differences in Definitions Across Countries AzerbaijanComplete NOE definition except for illegal activities KazakhstanComplete NOE definition (refers to hidden and informal activities) KyrgyzstanCovers hidden (deliberately concealed or missed in data collection) and informal activities (carried out by individual producers or unincorporated enterprises which belong to individuals or households; based on informal relations and produce goods and services completely or partially for their own consumption). TurkeyUnregistered economy TurkmenistanNOE covers essentially non-government units UzbekistanInformal economic activities (informal sector includes the activities of households and individual entrepreneurs working with or without licenses)

What is a household unincorporated enterprise? (a)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

Informal Sector Criteria, 15 th 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).

Criteria for Identifying IS Enterprise Essential Legal organization Unincorporated enterprise OwnershipHousehold Type of accountsNo complete set of accounts Product destination At least some market output

Criteria: Additional & Optional Additional Operational #employed/engaged Specific to country Non-registration Specific to country Optional Kind of economic activity Possible exclusion of: –Agriculture and related activities –Paid domestic services Geographic areaPossible exclusion of rural areas

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

Framework of IS Definition Informal own- account enterprises Enterprises of informal employers Other own-account enterprises Other enterprises of employers Household Unincorporated Enterprises Own-account enterprises Enterprises of employers Informal Sector

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

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)

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/2 nd job) Informal employment = total # informal jobs in formal or informal sector enterprises or households

NOE Components and Employment

THANK YOU!

12/11/2007Zeynep Orhun, Statistics Division Informal Sector: Measurement Methods

How do we collect data on IS and IE? Household Surveys Informal Sector Surveys Labour Force Surveys Household Income Expenditure Surveys Establishment Surveys Mixed Household Enterprise Surveys

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, women’s own-account/home-based activities, secondary activities of farmers, government officials, formal sector employees

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

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

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

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

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)

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.

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 used—different 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

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

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 IS— areas or hh (disaggregation, distribution, representation)

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

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 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

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

THANK YOU!