1 The Measurement of Informal Sector and Employment: Case Study of Palestine Saleh ALKAFRI Director General of Economic Statistics, Palestinian Central.

Slides:



Advertisements
Similar presentations
Extrapolation and benchmarking Vu quang Viet UNSD consultant.
Advertisements

Viet Vu Consultant to United Nations’ Statistics Division March 2010.
CENTRAL AGENCY FOR PUBLIC MOBILIZATION & STATISTICS ( C.A.P.M.A.S ) EGYPT Prepared by : MAGDY M. ABDELRAHMAN The chief of industrial statistics department.
Labour market statistics in Poland. Labour supply, labour demand employment, job vacancy, unemployment Current statistics How we collect the data Household.
An Overview of China ’ s Industrial Statistical Methodology Xiaohui WANG Department of Industrial and Transport Statistics National Bureau of Statistics,
NEW MILLENNIUM DEVELOPMENT GOALS (MDGs) - EMPLOYMENT INDICATORS.
Production of Statistics on Informal Sector Employment and Informal Employment in Namibia By Panduleni C Kali.
Millennium Development Goals (MDG) Indicators on Employment, Philippines: (In percent) GOAL 1: ERADICATE EXTREME POVERTY AND HUNGER Target 1.B:
Palestinian Central Bureau of Statistics (PCBS) Palestine Poverty Maps 2009 March
WORKSHOP ON INDUSTRIAL STATITICS, 8 – 10 JULY 2013 COUNTRY PRESENTATION MALDIVES.
Recent experience on the Survey of small Manufacturing Establishments, 2008/2009 Central Bureau of Statistics Nepal.
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,
Overview of the International classification of occupations (ISCO) A case for Uganda Ssennono vincent.
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,
Estimating the Labour Force Trinidad and Tobago 28 th May 2014 Sterling Chadee Director of Statistics.
Korean SME Characteristics & Proposed Developments for Data Linking Presenter : Sunghee Han.
Labour Force Survey By Munir Ahamd Aslam Director FBS Presentation on FBS – May, 2006.
1 Workshop on Informal Employment and Informal Sector Data Collection: Strategy, Tools and Advocacy Amman, April 2008 Phase2: Sample design, measurement.
Distributive trade statistics in Egypt. The Methodology of statisticThe Methodology of statistic Distribution trade statistics is considered one of.
Copyright 2010, The World Bank Group. All Rights Reserved. Introduction to the System of National Accounts (SNA) Lesson 9 Data Sources for Estimating GDP.
Central Statistical Office ZIMBABWE DATA ANALYSIS AND INTERPRETATION OF 2004 LFS Lovemore Sungano Ziswa.
Copyright 2010, The World Bank Group. All Rights Reserved. Estimating informal production, part 1 1 Business statistics and registers.
PowerPoint Template - S TATISTICS I NDONESIA.
1 Session Number: Session 5a (Parallel) “ Measuring the Informal Economy in Developing Countries ” September 24, 16:00-17:30 Informal Sector and Informal.
1 Item 7: National Accounts And Employment Data Using Employment Statistics in the Russian National Accounts Alexander Surinov Deputy Head of Rosstat Joint.
Availability and Quality of Data Angela Me UNECE Statistics Division.
1 Palestinian Central Bureau of Statistics PCBS Experience in Measuring Informal Sector 13-15/04/2008.
Russia’s Workforce Development Study of the Global Policy Network (GPN) – Informal Employment in Russia Oksana Sinyavskaya Daria Popova Workforce Development.
European Conference on Quality in Official Statistics Roma, July 8-11, 2008 New Sampling Design of INSEE’s Labour Force Survey Sébastien Hallépée Vincent.
Gender Statistics in the Labour Market Angela Me UNECE Statistics Division.
THE NON-OBSERVED ECONOMY (NOE): Current Practice in Mongolia B. Badamtsetseg Director of Macro economic statistics department Meeting of the Group of Experts.
United Nations Economic Commission for Europe Statistical Division Looking at employment from a gender perspective Angela Me Chief Social and Demographic.
Census of Economic Establishments in Ethiopia Yasin Mossa Central Statistics Agency of Ethiopia July 2009.
Copyright 2010, The World Bank Group. All Rights Reserved. The labor concept & the related indicators Part 1 Concepts Produced in Collaboration between.
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.
TANZANIA, THE UNITED REPUBLIC OF SADC WORKSHOP ON INFORMAL SECTOR AND INFORMAL EMPLOYMENT National Bureau of Statistics, Tanzania and Ministry of Labour.
Statistics on the ‘Informal’ Economy  Informal Sector  Informal Employment Presentation by: Margarita F Guerrero Inter-regional Workshop on the Production.
United Nations Economic Commission for Europe Statistical Division Availability and Quality of Gender Statistics Angela Me UNECE Statistics Division.
International Labour Office Department of Statistics Informal employment: Review of concepts and methods Elisa M. Benes Department of Statistics International.
ECONOMIC CENSUS IN EGYPT PREPARED BY : MOHAMED A.ELDESOKY DIRECTOR GENERAL OF CENSUS. Arab Republic of Egypt Central Agency For Public Mobilisation and.
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.
TANZANIA, THE UNITED REPUBLIC OF SADC WORKSHOP ON INFORMAL SECTOR AND INFORMAL EMPLOYMENT National Bureau of Statistics, Tanzania and Ministry of Labour.
Workshop on MDG, Bangkok, Jan.2009 MDG 3.2: Share of women in wage employment in the non-agricultural sector National and global data.
ILO Department of Statistics Measurement of the informal employment and employment in the informal sector September 2011 ILO Department of Statistics (T.
1 Economically Active Population Survey Dong-Wook JEONG Employment Statistics Div. Statistics Korea.
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.
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
COMPILATION OF DISTRIBUTIVE TRADE STATISTICS IN UGANDA
Gross Domestic Product (GDP) Concepts/ the Informal Economy and GDP G
Mapping National Definitions of Informal Employment to International Statistical Standards G.Raveendran.
Informal Sector Statistics
Inter-related, NOT Interchangeable
DIEESE definition of the informal sector and the informal economy
Informal Sector Statistics
Informality and social protection
Tite Habiyakare, Senior Statistician,
Woman Participation in the Palestinian Labour Market
Tourism Incomes and Expenditures Surveys in Belarus
Tite Habiyakare, Senior Statistician,
Woman Participation in the Palestinian Labour Market
SMALL AREA ESTIMATION FOR CITY STATISTICS
Presentation transcript:

1 The Measurement of Informal Sector and Employment: Case Study of Palestine Saleh ALKAFRI Director General of Economic Statistics, Palestinian Central Bureau of Statistics (PCBS), Ramallah, Palestine.

2 Contents: What is the informality? Why measuring the informality is important? How can it be measured? Recent case in Palestine Q Data Analysis Conclusions and Recommendations

3 Introduction

4 The concepts and definitions: Informal Sector (IS)- 15th ICLS Economic perspective The informality absorbs the national resources by declining the capital revenues in cash as tax and productivity; and in physical as human capital resources. Depending on that view, the following criteria can describe the Informal sector (IS) and Informal employment (IE): The main criteria of IS: Legal organization (unincorporated enterprise); Some of product destination go to the market; Do not have complete set of accounts; Do not pay TAX / do not have tax records

5 The concepts and definitions: Informal Employment (IE) The main criteria: Own-accounts workers who are producers for own final use only Own-accounts workers who are producers for sale or barter working in IS Employers working in IS All contributing family workers Employees working in IS (ruling out the possibility of formal job contract in the IS) Employees with IJ working in IS enterprises and unincorporated private enterprises engaged in non-market production

6 The concepts and definitions: Informal jobs (IJ)-UNPROTECTED -social protection The main criteria to classify the IJ are: Annual/sick/maternity paid leave Contributed in the social protection if available or Retirement system, or compensation of the end of the services Contract available The people classified as Formal Employment if at least have Formal Job Source: ILO, Unprotected Employment in the West Bank and Gaza Strip.

7 Importance of Measuring Informal Sector Statistically: improving labor stat. and contributing towards exhaustive measures of GDP Economically: represent one of the main negative factors of development of the nations in the long run, i.e. reduction of gov. revenues and reallocation of income.

8 The main indicators: The Indicators: The Percentage of Informal Production Units (enterprises) of total ent. The Percentage of Employed Persons in Informal Sector of total employment The Percentage of Informal Sector Share of GDP The Percentage of Informal/Unprotected Employment The Characteristic of Informal Sector The Characteristic of Informal/ Unprotected Employment

9 Methodology

10 Methodology Collect and study available data Specifying the weakness of of the current data to measure the informality and its characteristics Designing suitable survey to obtain the missing information for this purpose

11 Available resources and data Population Census, Dec Includes: unincorporated enterprise classified by inside/outside the establishments [Own-accounts workers and employers + place of work] = give us a framework for all unincorporated enterprises outside establishments as main job for workers distributed by economic activities Establishments Census, 2007 Includes: provide us with framework for all (inside) establishments (gov. NGO ’ s, private,..) distributed by legal status and economic activities, Annual Economic Surveys, (non-agricultural sectors).. Include: the main questions of informal sector [complete set of accounts and pay tax or not]. Include also the main economic indicators i.e. value added, production,.. COVER the inside establishments Quarterly Labour Force Survey, Include:after Q4 2008, cover questions to classified the employed persons to informal employment and to find the informal unincorporated enterprise as 1 st phase of 1-2 survey. LFS sample is rotation sample. Construction Survey and Transportation Survey to cover the outside establishments

12 Weakness and Obstacles There is no specialized surveys for measuring the informality The available surveys/censuses can provide us with partial information reflecting the state of different periods There are dramatical changes in the informal sector state due to the crises of Gaza. The unstable labour market in Palestine cause difficulties in depending on the census to calibrate the weights. Less details specially for unincorporated enterprises outside establishments or unincorporated enterprises engaged at least partially in the market production (HUEMs) Special case in Palestine, the population census 2007 did not complete in Gaza Strip (1/3 of the Palestinian Ter.) which made lack of data on HUEMs Missing core variables in LFS

13 Utilizing the current LFS to be part of 1-2 survey To estimate the informal sector/employment and to avoid the obstacles, PCBS conducted 1-2 survey by using the available standard LFS 1-2 survey was conducted on 4 th quarter of 2008 The survey includes 2 phases

survey cont. The objectives of the 1 st phase are: Identify and construct a sampling frame of HUEMs among the enterprises in which employed persons work; Estimating the IE/IJ – unprotected employment

survey cont. The objectives of the 2 nd phase are: Estimating the number of HH projects in the IS Estimating the number of employment and their compensations in IS Estimating the other economic indicators for IS i.e. VA, output, … to use it for GDP estimate

survey cont. PCBS employed the standard quarterly LFS as the 1 st phase With some additional questions, phase 1 was completed The following structure shows the additional questions to the standard questionnaire of LFS:

17 LFS questionnaire: 1 st Questionnaire IS classification Classified by main and secondary jobs IS: Informal Sector IE: Informal Employment IJ: Informal Job

18 LFS questionnaire: 1 st Questionnaire IE/IJ classification Classified by main/secondary jobs.

19 Methodology: 1-2 survey The questionnaire-2 nd phase: The questionnaire includes the following: No. of workers and their compensations The production value from the main and secondary economic activity The inputs and production for marketing Data about employer Data about the establishment organization

20 The LFS uses a stratified two-stage sampling design. It is carried out on a master frame of 481 primary stage units (enumeration units demarcated in the population census 1997). The rural, urban areas and the refugee camps of each governorate are defined as separate strata. The sample of primary stage units constituting the master frame is selected using a probability proportional to size systematic scheme, independently from each stratum. The size variable used for this purpose is the population of the enumeration area according to the last population census. Rotation Sample. The LFS is carried out in rounds of three months. For each round, a sample of households drawn by systematic sampling is used. Half of the sample of households is rotated in each round. the estimation procedure to be followed for the phase-1 of ISS should be exactly the same as that used for the LFS. Methodology: 1-2 survey Estimation Procedure: The Sample phase 1 depends on LFS sample design

21 Classifying IE: IE if their enterprise ISSelf Emp./Employer IEUnpaid Family Members IE if: (Part-time or Seasonal/ temporary job) OR (Full-time and have limited time contract/no contract) OR (Full-time and Have contract and have paid leave) Wage Employees in Government, UNRWA, NGO ’ s, International Organizations IEWage Employees in Private Sector as Irregular IE if: (place of work do not pay tax) OR (place of work pay tax and he/she work part/seasonal / temporary work) OR (place of work pay tax and he/she work full-time and have limited time contract/no contract) OR (place of work pay tax and he/she work full- time and Have contract and have paid leave) Wage Employees in Private Sector as Regular IJ: IE in main or secondary jobs. IE = if at least the employed person has Formal Job, he/she will be Formal Employment

22 Methodology: 1-2 survey Estimation Procedure for phase 2 Methodology of Weights Calibration for the informal Sector Survey (Phase 2) We divided the enterprises into 2 types Inside Enterprises Projects Outside Enterprises Projects Part 1 : Inside Enterprises Projects The design Weights for this stage is the individual weight from Phase 1 (LFS). We used the following sources to calibrate the design weight which are : 1. Enterprises Census 2007, we extracted the enterprises which have the following specifications: - Ownership Private National. - Legal Status individual or partnership. - Active Enterprises. - No Accounting Books.

23 Methodology: 1-2 survey Estimation Procedure for phase 2 Methodology of Weights Calibration for the informal Sector Survey (Phase 2) Economic Surveys results 2008, we extracted the enterprises which have the following specifications: - Ownership Private National. - Legal Status individual or partnership. - Active Enterprises. - No Accounting Books. - Do not pay Tax + The results of the census show that 78% of establishments do not have accounting books. The results of economic survey show that 60% do not pay tax of the establishments that do not have accounting.

24 Methodology: 1-2 survey Estimation Procedure for phase 2 Methodology of Weights Calibration for the informal Sector Survey (Phase 2) Weighting Procedure: 1- We obtained a table of frequencies of Enterprises which have the above mentioned specifications from Est. Census 2007 and on strata Level. 2- We estimated the proportion of Enterprises which don ’ t pay Value Added Taxes (VAT) on the level of the same strata which are mentioned above from Est. Survey 3- We multiplied the results from step1 and step2 to get the estimation the total count of the informal sector projects inside the enterprises for each stratum.. 4- we constructed the same strata which are specified before on the data file of Inside Enterprises Projects, and we estimated the sum of weights for each stratum.

25 Methodology: 1-2 survey Estimation Procedure for phase 2 Methodology of Weights Calibration for the informal Sector Survey (Phase 2) Part 2 : Outside Enterprises Projects The design Weights for this stage is the individual weight from Phase 1. We used the following sources to calibrate the design weight which are Labor Force Survey, we extracted all the projects which are identified as informal sector projects. The inside enterprises data file in part1. The deference between LFS (all) and economic survey (inside establishments) = the total of outside enterprises

26 The results: PRELIMINARY-unpublished yet 37% of projects are informal of all projects and establishment 45% of projects are informal of total projects in private sector Informal sector employed 22% of total employment Informal value added represents 8% of GDP 54% of employment are unprotected

27 The results: PRELIMINARY-unpublished yet Employment Distribution TotalFEIE 141,200 22%, 100% Zero 0%, 0% 141, %, 100% IS 500,800 78%, 100% 295, %, 59% 205, %, 41.0% FS 642, , %, 46% 346, %, 54% Total Col.%, Row%

28 The results: PRELIMINARY-unpublished yet GDP Current GDP M. US$ IS – inside establishments: all activities = 105 m. US$ IS – outside establishments=260 m. $ Agriculture+Transport.+Construction IS – Outside establishments: Manufacture+Trade+Service= 40 m.$ FS – Outside establishments: Manufacture+Trade+Services ?? Covered by current GDP Uncovered by current GDP Estimated by 1-2 survey – 2nd phase Will find in the future

29 Data Quality-consistency with other resources Several resources provide us with relative information The total projects in West Bank (inside+outside establishment) from LFS is around the total from 2 sources (establishment survey and population census) In Gaza Strip we faced problem of the lack of data for population census (outside establishment) and the crises in Gaza made the comparison so complex 2 nd phase has too small sample (1000 HUEMs)  high variance

30 Conclusions: The results of the available data (i.e., population and establishments census and economic surveys) at the macro level very close with the 1-2 survey (one year between them) 1-2 survey (phase 2) provides us with complete information on informal sector to serve the national accounts Labour Force Survey with the additional questions can provide us with the basic periodic information on informal sector and employments The distinguishing between the projects inside and outside establishments is important when the country conducts an establishments survey, because it is enough to use LFS to estimate the main indicators i.e. production of projects outside establishments, and the establishments survey for inside establishments. Informal employment reflects the degree of protection. We have to think deeply about the unprotected people for its importance in the social and economic stability. Through 1-2 survey we can estimate the uncovered national accounts for the projects outside the establishments

31 Thanks