Transcript English

Expert Group Meeting on Statistics for SDGs:
Accounting for Informal Sector in National Accounts
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Preparation of labor input matrix: Central African Republic
Addis-Ababa 11-14 january2016
By :
Roger Yélé
République centrafricaine
Intervention Plan
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1. Introduction
2. Main sources
3. Method used to construct the employment
matrix
4. Results
1. Introduction
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To make an employment matrix, in most fragile countries the average
number may be considered to assess employed as an alternative: we must
take into account the greatest possible number of individuals during the
period, with a distinction between the number of employees and the
number of self-employed (SNA 93)
For this information, we must develop a matrix comprising:
• column like industries (branches);
• Online the different employment statuses in force in the country;
generally include: employees declared, undeclared workers, sole
proprietors, family workers, apprentices.
Currently we compute the employment matrix using the results from the
population census and completed by the household survey.
2. Main sources (1/3)
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The employment matrix is used for assessing certain economic aggregates
such as the production of the formal or informal sector, by using
productivity ratios in the absence of a 1-2-3 type of survey or a business
directory. This is the case of the Central African Republic who has never
carried out a survey of this type.
To develop a new base year for the final national accounts, two sources of
data are available: the results of the General Census of Population and
Housing (RGPH) of 2003 and those of the Central tracking survey assessment welfare (ECASEB) of 2008. These major operations each
contain elements to make the employment matrix CAR's economy.
2. Main sources (2/3)
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1.1 - The source RGHP 2003
The results of the General Census of Population and Housing
2003, through the thematic analysis report "Economy:
Economic Characteristics of the Central African population"
provided many economic indicators on the total size of the
population, workforce occupied by branch and status in the
occupation, the general growth rate of the population, etc.
The RGPH 2003 is one of the important sources for
estimating the employment matrix.
2. Main sources (3/3)
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2.2 - The source ECASEB (Central African survey on
monitoring and evaluation of welfare)
The Central African Republic has organized for the first time in 2008, a
national survey kind of QUIBB (Unified Questionnaire basic indicators of
well-being) on key indicators of well-being and living conditions of
households in compliance with international standards, according to
survey on the living conditions of households in urban and rural
environments (ECVU / ECVR) conducted in 2003. It is the Central
African Survey monitoring and evaluation of welfare (ECASEB).
For national Accountant results of this survey have a great importance.
The data also allow making the employment matrix of the Central African
economy, to update the vector of household final consumption, estimate
imputed rent, GFCF in household housing and other social and economic
indicators.
3. Method used to construct the employment matrix (1/7)
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The structure of the matrix of the employment outcome is better in
ECASEB than Census RGPH 2003 because it informs both the formal and
informal employment and is a cross between socio-professional
categories and the ten branches of activity.
The elements common to both matrices (RGPH, ECASEB) are: socioprofessional categories (manager, employee, worker, boss, own-account
worker, apprentice, family helper) and activity classification (agriculture hunting - gathering - logging, farming - fishing, manufacturing,
construction, communication, commerce, administration, education,
health and other services).
The database of the employment matrix of the 2008 survey ECASEB
inform us on informal or formal employment throughout specific
variables (employee administration, employee business, other addicts,
farm worker for own account, workers for own account and nonagricultural employer) while the RGPH 2003 does not provide the same
variables.
3. Method used to construct the employment matrix (2/7)
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The exploitation of variables ECASEB 2008 survey allow us to assign
employees of the administration and those of the formal sector to the
variable employee declared in the national accounts. The other socioprofessional categories namely: other dependent, agricultural worker for
own account, worker for non-agricultural own account and employers
belong to the informal sector. Agricultural workers to own account or not,
form the category of own-account workers. The employer category is
made up of boss in the ECASEB nomenclature. Undeclared workers and
family assistants must be determined in order to tour the various
occupational categories of the informal sector.
By process of elimination, the category still to burst is "other dependents"
that break down into undeclared employees, family and aides. In the
structure that is common to both sources (RGPH and ECASEB), the sum
of the numbers of family assistants and apprentices form the category
family aides.
3. Method used to construct the employment matrix (3/7)
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For undeclared workers and family assistants, we use the gross structure
of the employees, workers, family helpers and apprentices in which
employees and workers are unregistered employees to inform the staff of
the latter two categories.
Table 3 : Conversion table between ERETES nomenclature and that of ECASEB 2008
Code ERETES Label
0E1001001
declared employee
ECASEB Nomenclature 2008
Public Administration employee, Private
company employee
0E1001002
Undeclared employee
employees and workers
0E1002001
boss
employer
0E1002002
Own-account workers
Agricultural workers to own account, nonagricultural workers to own account
0E1003
Family assistants
caregivers and apprentices
3. Method used to construct the employment matrix (4/7)
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This structure of professional categories being pegged to that used in the
national accounts (employee said, undeclared employee, boss, worker for
own account and caregiver), a working backward projection was made
and is based on using su average rate of growth of the CAR's population is
2.6%. By reducing the size of ECASEB from 2008 to 2005, it comes to
making a decision in relation to the employed population because both
sources do not give the same result. Projections from RGPH give 1.7
million while a similar exercise on the number of ECASEB results in 1.9
million. Given that the source contains more ECASEB estimates that
RGPH, the choice was focused on the global workforce census. It is this
total that is applied to the structure resulting from the exercise of
backcasting.
3.
Method used to construct the employment matrix (5/7)
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The industry classification of activities of national accounts has 46
branches while that of ECASEB has only 10 branches of activity. Some
business groups are groups from those of the national accounts activity
nomenclature. Activities under the primary present no difficulty for the
break. The branches of industry activities of building and construction
(BTP) ECASEB constitute the secondary sector of the Central African
economy.
ECASEB to disaggregate the industry branch 21 branches of the
nomenclature of the Central National Accounts, it proves important to
have coefficients or employees Workforce sharing indicators. With no
indication, the employment structure of the final accounts of the
année1998 base 1985 was used for informal.
Regarding arbitration on enrollment in the formal sector, the branches of
which all companies had fiscal packages, the size of the source DSF were
maintained.
3.
Method used to construct the employment matrix (6/7)
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3.
Method used to construct the employment matrix (7/7)
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3.2 - Method for estimating drugs and prostitution
As part of the implementation of the 2005 ICP, each participating country
were asked to estimate the consumption spending on products "Drugs"
and "Prostitution".
In Central African Republic, with no methodology or data regarding these
products, several survey results were put to contribution. According to
MICS 2000, 9.5% of women 15-49 were forced to practice prostitution. It
is from this information that the final consumption expenditure in
prostitution service were estimated at 0.12 percent of GDP in 2005 to 862
million CFA francs, while consumer spending on goods 'Drugs' were
estimated empirically to 0.02 percent of GDP in the same year (170
million CFA).
In the recommendations, the countries requested ADB to provide a
harmonized methodology for assessing these products or services
4. Results (1/2)
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Labour market indicators show a high level of activity, an almost
nonexistent and largely dominated by the informal
sector jobs
unemployment. Among people 15 and over, eight out of ten are present in
the labor market. These individuals who are on the labor market have
almost all employment, unemployment strikes assets less than 2 100. This
low level of unemployment does not mean that the economy really creates
decent employment. In fact over 100 jobs, 64 are exerted in the small
extensive agriculture and 26 in the urban informal sector, as jobs in an
individual company. Finally the modern sector (public and private) has
barely ten percent of jobs. Employment in the informal sector are often in
low-productivity jobs, this is once again a potentially factor of poverty.
4. Results (2/2)
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Table 5: Workforce by sector
Déclaratio Forme
Public
n
l
Administ Statistique (estim ISB
L
rations
et Fiscale
é)
Salariés déclarés
29149
10857
13166
Infor
mel
Ména
TOTAL
ge
347
53519
Salariés non déclarés
5582
439
0
37635
Entrepreneurs individuels :
Patrons
4884
157
27878
32919
6820
54427
Entrepreneurs individuels
pour compte propre
42561
2517 139732
2
4
1465057
Aides familiaux
16745
77751
94496
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Merci pour votre
aimable attention