Shaun McLaughlin Central Statistics Office, Ireland IAOS Conference 2014
Combining survey and administrative data to create a new input data file for National Accounts processes. Shaun McLaughlin Central Statistics Office, Ireland IAOS Conference 2014 Presented by Christopher Sibley. Outline of Presentation. Background Existing National Accounts environment
Shaun McLaughlin Central Statistics Office, Ireland IAOS Conference 2014
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Presentation Transcript
Combining survey and administrative data to create a new input data file for National Accounts processes Shaun McLaughlin Central Statistics Office, Ireland IAOS Conference 2014 Presented by Christopher Sibley
Outline of Presentation • Background • Existing National Accounts environment • IT Project • Enterprise File • Sources • Creation of file • Problems encountered • Enterprise file within the new IT system • Benefits and future plans
Background • Existing National Accounts Environment • GDP produced using Income and Expenditure approaches • Main annual publication – National Income and Expenditure (NIE) • Sector Accounts, Regional, Supply&Use, Input/Output, Production approach all published later
Background • Existing National Accounts Environment • Inconsistencies between different approaches unavoidable • Inconsistencies due to different sources for similar data can be minimised • Large Cases Unit (LCU) to ensure consistency for largest companies in the country.
Background • Existing National Accounts Environment • Processing done using SAS software and Excel • Other CSO Systems • Central Business Register (CBR) • Data Management System (DMS)
Background • New National Accounts IT System
Background • New National Accounts IT System • Use of the Data Capture application of DMS to centrally store input data will improve integration of all processes • Further step is to combine several similar data sources into a single file – ‘Enterprise file’
Enterprise file • Administrative sources • Corporation Tax • Income Tax (self-employed) • P35 file (social insurance & other labour costs) • High coverage across entire economy
Enterprise file • CSO Survey sources • Census of Industrial Production (CIP) • Annual Services Inquiry (ASI) • Detailed surveys covering largest entities in Industry and Services sectors
Enterprise file • Other sources • Revenue Large Cases Division (RevenueLCD) • Team of CSO staff who are based in the offices of the tax authority • They extract detailed data from tax returns of largest companies and ensure that the data we use is in line with National Accounting principles
Enterprise file • Creation of file • Deal with duplicate records • Add CSO Identifier – Enterprise number • Calculate 7 main National Accounts Vars • Output • Intermediate Consumption • Gross Value Added • Wages & Salaries • Employers Contrib. to Social Ins • Gross Operating Surplus • Depreciation
Enterprise file • Use Enterprise number as unique identifier to join all these files • Now have version of variables from each source for easy comparison • Each var has suffix to identify source e.g. Output_CIP, Output_ASI • But need a way to choose ‘final’ value
Enterprise file • Default priority • Revenue LCD file • ASI / CIP data • P35 • Corporation Tax / Income Tax • Variable gets _NATACC suffix • Default can be over-ridden if desired
Enterprise file • Problems encountered – and solutions • Missing enterprise numbers • Create temporary Enterprise numeber • Check larger entities individually • Multiplicity of entities • Process to ensure no duplication during merge • File is very large • Load data to DMS at off-peak times • Possible future developments to address this
Enterprise file • Enterprise file within the new IT system • DMS holds Enterprise file • Single source for company/sole trader data at unit level • Authorised users can modify data • Integrated into overall IT system • Standard macro in SAS to read data
Benefits and future plans • Benefits • Single source • Central storage location • Audit trail of data changes • Efficient processing
Benefits and future plans • Future plans • Size of file currently a slight issue • Remove source variables • Aggregate smaller entities by Industrial Group and Institutional Sector • If size sufficiently reduced – may be possible to include extra sources of variables