Description of methods and sources for Albania - INSTAT

IPA 2009 Multi-beneficiary StatisticalCooperation Programme13Table 3.6:Branches included in the same estimation of indicatorsAktfr Description Correspondencewith NACE. Rev 13 Mining and quarrying of energy producing materials CA4 Mining and quarrying of except energy producing materials CB5 Manufacture of products based on cereals DA (partly)6 Other manufacture of food products DA (partly)7 Manufacture of textile and leather products DB and DC8 Manufacture of wood, paper, furniture; publishing and printing DD, DE, DN9 Manufacture of coke, refined petroleum products and nuclear DFfuel10 Manufacture of chemicals, chemical products, rubber and plastic DG, DHproducts11 Manufacture of other non-metallic mineral products DI12 Manufacture of basic metals and fabricated metal products DJ13 Manufacture of machinery and equipment DK, DL, DM14 Electricity, gas and water supply E15 Construction F16 Trade G17 Hotel and restaurants H18 Transport I(partly)19 Post and communication I(partly)21 Real estate, renting and business activities K25 Other community, social and personal service activities O, PThe procedure for estimation of indicators is developed in two phases:3.3.1.3.1 First phase: Integration and verification of dataThe various databases, VAT file, Structural Business Survey and Profit and lossaccounts file, coming from surveys and balance sheets are reorganized integratingthree databases into one, to obtain a common format. It is also an opportunity forchecking the internal coherence of balance sheet data and survey data. For eachsource, the internal coherence of individual data is checked by ascertaining thataccounts are balanced, that data in different tables are consistent and that the maindata are economic items.External coherence of both sources is also checked for each year based on theidentity of current accounts available in both sources that means to make acomparison between indicators (turnover, number of employees, wage and salaries,purchases, etc) and balance sheets, VAT and structural survey. Balance sheets’(profit and loss accounts) data sources are considered more viable than other sources,40/236