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Improvements to the Quality of Tax Data in the Context of their Use in Business Surveys at Statistics Canada François Brisebois, Martin Beaulieu, Richard Laroche Methodology Branch, Statistics Canada July 10, 2008
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Background Statistics Canada conducts a large number of economic surveys Annual and subannual surveys Tax data used to reduce response burden Processing of the tax data to meet survey programs’ needs
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Background Goal of the talk Present tax data sources and some of the methodological improvements incorporated in the processing Mostly about accuracy
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Description of Tax Data Sources Three main sources (for business surveys) : Annual tax data : T2 : For corporations T1 : For unincorporated businesses Subannual tax data : Goods and Services Tax : Value added tax on consumption (5%) collected and remitted by enterprises
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T2 - Corporations Census available electronically Detailed financial information (700 fields) Only 8 fields are mandatory (mostly totals) Generic and details fields Currently used in annual surveys as direct replacements to sampling units “Simple” structured enterprises only For financial information only Production for reference year Y happens in the fall of year Y+1, by which about 70% of T2 have been reported
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T2 - Corporations Improvements to imputation strategy Using information available from other administrative sources More sophisticated methods for allocation of generic fields to their details
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T1 - Unincorporated businesses Gross business income and net income available for all units of the population Details (20-50 fields) only available for units reporting electronically (e-filers vs. p-filers) Around 50% up until 2006 Model based methods used to derive population estimates
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T1 - Unincorporated businesses Improvements Validation of data using other administrative sources Processing of partnerships to avoid over- coverage Use data from “bar-code filers” Increase coverage to about 80% Start using for production of 2007 estimates
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Goods and Services Tax Mainly one variable : Total sales For a given reference month, data become available to surveys 7 weeks later Used by subannual surveys “Simple” structured enterprises only As replacements for sampled units Through a ratio model to account for the difference between production month (M) and tax reference month (M-1)
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Goods and Services Tax Enterprises can remit annually, quarterly or monthly depending on their size Need for calendarisation to breakdown amounts reported into “perfect months”
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Goods and Services Tax Improvements Calendarisation (methods and systems) Adaptation of strategies and systems to accept changes to tax rate Active/inactive units: improve strategy using new fields available
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Improvements for other quality dimensions Study comparing tax data sources for coherence Context of having annual and subannual surveys covering same population, and both using tax data Evaluate consistency and better understand differences Documentation of processes and studies Inclusion of tax data fields in the central Business Register Compute the variability associated with the use of tax data in survey estimates
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Conclusion 10+ years with positive results Experience and feedback from survey programs feed improvements to the processing of tax data There are still many other sources to exploit
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Thank you François Brisebois francois.brisebois@statcan.ca +1 613 951-6937 For more information, or to obtain a French copy of this presentation, please contact: Pour de plus amples informations ou pour obtenir une copie en français du document, veuillez contacter :
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