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Expert Group Meeting on Statistics for SDGs: Accounting for Informal Sector in National Accounts

Expert Group Meeting on Statistics for SDGs: Accounting for Informal Sector in National Accounts. Preparation of labor input matrix: Central African Republic Addis-Ababa 11-14 january2016 By : Roger Yélé République centrafricaine. Intervention Plan. Introduction Main sources

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Expert Group Meeting on Statistics for SDGs: Accounting for Informal Sector in National Accounts

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  1. Expert Group Meeting on Statistics for SDGs:Accounting for Informal Sector in National Accounts Preparation of labor input matrix: Central African Republic Addis-Ababa 11-14 january2016 By : Roger Yélé République centrafricaine

  2. Intervention Plan • Introduction • Main sources • Method used to construct the employment matrix • Results

  3. Introduction 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.

  4. Main sources (1/3) 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.

  5. Main sources (2/3) 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.

  6. Main sources (3/3) 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.

  7. Method used to construct the employmentmatrix (1/7) 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: socio-professional 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 non-agricultural employer) while the RGPH 2003 does not provide the same variables.

  8. Method used to construct the employmentmatrix (2/7) 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 socio-professional 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.

  9. Method used to construct the employmentmatrix (3/7) 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

  10. Method used to construct the employmentmatrix (4/7) 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.

  11. Method used to construct the employmentmatrix (5/7) 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.

  12. Method used to construct the employmentmatrix (6/7)

  13. Method used to construct the employmentmatrix (7/7) 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

  14. Results (1/2) 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.

  15. Results (2/2) Table 5: Workforce by sector

  16. Merci pour votre aimable attention

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