françois brisebois, martin beaulieu, richard laroche methodology branch, statistics canada
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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. Background. Statistics Canada conducts a large number of economic surveys - PowerPoint PPT PresentationTRANSCRIPT
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
Background
Statistics Canada conducts a large number of economic surveys
Annual and subannual surveys
Tax data used to reduce response burdenProcessing of the tax data to meet survey programs’ needs
Background
Goal of the talk
Present tax data sources and some of the methodological improvements incorporated in the processing
Mostly about accuracy
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
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
T2 - Corporations
Improvements to imputation strategyUsing information available from other administrative sources
More sophisticated methods for allocation of generic fields to their details
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
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
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)
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”
Goods and Services Tax
ImprovementsCalendarisation (methods and systems)
Adaptation of strategies and systems to accept
changes to tax rate
Active/inactive units: improve strategy using new fields available
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
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
Thank you
François [email protected]
+1 613 951-6937
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