Description of methods and sources for Albania - INSTAT

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IPA 2009 Multi-beneficiary StatisticalCooperation Programme3.1.6.2 Administrative data sources3.1.6.2.1 Annual accounting statements of enterprises, balance sheets (2006)Annual accounting statements as the most important basic data sources for GDP byproduction approach cover profit and loss account, and balance sheets data on stocksof assets (stocks of assets at the beginning of the year, purchasing and sales duringthe year, and stocks by the end of the year) and they have been collected since1996.INSTAT accomplished the data-entry of these data for the need of national accounts.Annual accounting statements of enterprises are collected by General Directorate ofTaxation. Balance sheets are collected for statistical purposes and for the purpose ofpublic disclosure of accounting statements. Annual accounting statements ofenterprises are submitted by different kinds of corporations, irrespective of theiractivity or their size and reporting for the Institute of Statistics is obligatoryaccording to the National Statistics Law. Periodicity is annual, data are in paperformat referring to the calendar year and data are available 9 (nine) months after theend of the year.Annual accounting statements of enterprises are submitted by different kinds ofcorporations, irrespective of their activity or their size. In 2006 the statements weresubmitted by about 7000 units.3.1.6.2.2 Financial statements of monetary institutions (2006)Financial statements of monetary institutions are collected by the Bank of Albania.Data are collected for the purpose of supervision of monetary institutions and formacroeconomic statistics. Reporting units are all banks, savings banks and savingsand loans undertakings. Data are monthly, quarterly and annual. They are provided toINSTAT on a quarterly basis 60 days after the end of the reference quarter in anelectronic format. Final annual data are available 6 (six) months after the end of theyear.3.1.6.2.3 Financial statements of insurance undertakings (2006)Data are collected by the Financial Supervision Authority. Data are collected for thepurpose of supervision:– of insurance market and its operators;– of securities market and its operators;– of private supplementary pensions market and its operators;– of other non-banking financial activities;28/236
IPA 2009 Multi-beneficiary StatisticalCooperation ProgrammeReporting units are all insurance companies, reinsurance companies and pensioncompanies and the data are annual and final annual data are available 6 (six) monthsafter the end of the year.3.1.6.2.4 Other statistical and administrative data sources3.1.6.2.4.1 Farm Structure surveyTo obtain the agriculture statistical information in terms of market economy, it isnecessary to use the contemporary statistical methods for data collection. For thispurpose, in collaboration with the US experts of NASS (National AgriculturalStatistical Service) and Agricultural Department collection of the data throughSampling Survey using Area Sampling Survey (ASF) method was deemed as moreappropriate.The Area Frame sampling selection method is one type of multi-stage clustersampling.For purposes of performing a statistical survey on Albanian agriculture it wasnecessary to use this method because an up-to-date list frame with the names of allAlbanian farmers was not available, the first General Agricultural Census (GAC)was carried out in 1998, and also it was difficult to compile one since ruralpopulation was moving towards the cities and the list would need to be frequentlyupdated. Therefore, with the Annual Agricultural surveys segments were sampled,farmers in each one were listed, and farmers were sampled from each list andinterviewed.Stratification: Agriculture and livestock activities differ between regions of thecountry. To improve the data collected on new activities the land was first split intohomogeneous zones (strata) prior to sample selection. The stratification method usedincluded: Allocating land in strata (homogeneous zones) based on defined criteria (in ourcase land use intensity); Further allocating the strata into groups and then sub-groups which weresimilar based on the defined criteria.Multi-stage sampling: Each stratum was first split into Primary Sampling Units(PSU-s). Once the PSU had been defined and measured using GIS, they were thensplit into segments based on target sizes desired in each stratum. Sample PSU-s wasthen selected based on the number of segments located in each one. Use of thistechnique reduced significantly the mapping measurement efforts required.Analyses: The decisions on design were made on the basis of criteria of datareliability as well as the costs. This included the decisions made on defining the29/236
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Description of methods and sources for Albania - INSTAT

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