overview of the presentation response burden measurement
TRANSCRIPT
BLUE-ETS Conference
Statistics Netherlands, Heerlen
Janet Sear
March 22 &23, 2011
Response Burden Measurement and Motivation at Statistics
Canada
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Overview of the presentation
1. Our Response Management Strategy 2. Administrative Data usage3. Ombudsman4. Metrics5. Red Tape Reduction Commission6. Challenges
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1) Our Response Management Strategy
i. Foster good relationships ii. Use Administrative Data wherever possibleiii. Design appropriate collection instrumentsiv. Sampling and follow-up strategies with a holistic
view
v. Ask once
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Enterprise Portfolio Management Program
Relationship Building:� 300 large, complex enterprises
� Enterprise-centric approach� Relationship management role� Explain the why; answer questions; address concerns � Profiling (legal and operations)� Collection management� Ensure coherence
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2) Administrative Data
� Access under the Statistics Act to a broad range � BN� GIFI� Exclusion Thresholds� Even more Tax Replacement
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T2
ROYCE-MARANDA THRESHOLDS
Main sample to be surveyed
Not eligible for tax : questionnaire
Tax replaced
Characteristic survey (some Services surveys) or questionnaire (all other divisions)
T1
Main sample to be surveyed
RY2010 Methodology: Tax Replacement
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Administrative Data (con’t)
Threats:• We are residual users• At risk of file owner making changes
oRequirementsoContentoFile format
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3) Ombudsman � Reports to Director General, Industry Statistics Branch
� Secretary of Senior Management Committee on Business Response Management (Committee chaired by Assistant Chief Statistician, Business and Trade Statistics Field)
� Member of corporate Collection Planning Committee
� Attends field debriefings
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Ombudsman (con’t)
� Established in March, 1997� A tangible example of StatCan commitment� Is the respondent’s representative
� Three main roles:1. Complaint resolution2. Relationship building3. Response burden measurement
� Awareness17/03/2011Statistics Canada • Statistique Canada10
Ombudsman (con’t)
1) Complaint Resolution
• Render fair, balanced and impartial rulings,
• Do not simply reinforce operational requirements!
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Ombudsman (con’t)
2) Relationship Building
• Promote a better understanding of relevance and importance
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Ombudsman (con’t)
3) Response Burden Measurement• Annual enquiry to any division having
conducted a business survey in previous year.
• High level aggregates reported in Statistics Canada’s Departmental Performance Report to Parliament.
• More detailed information used within.
16 Subject Matter Divisions Involved:
� Agriculture� Balance of Payments� Business Register� Business Special Surveys and
Technology� Distributive Trades� Environment� Enterprise Statistics (Head
Office Survey)� Investment and Capital Stock
� Industrial Organization and Finance (Enterprise)
� Income Statistics (Pension Funds)
� Labour Statistics (Business Payrolls)
� Manufacturing� Prices- Consumer� Prices - Producer� Services� Transportation
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Compliance Cost Measurement
“Potential Compliance Costs”
Product of i. Survey Frequency ii.Average Sample Sizeiii.Average Time to Complete (hrs)
Index of Compliance Costs, 1991 = 100
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Minutes of Burden per BR Establishment
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Minutes of Burden per BR Establishment
Small Businesses Medium & Large Businesses
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Calendar Year 2009,Time to Complete Frequency
Number of Hours to Complete Number of Surveys30 min or less 78 52%
> 30 min; <= 1 hour 36 73%> 1 hour; <= 2 hours 45
> 2 hours; <= 3 hours 20> 3 hours; <= 4 hours 14> 4 hours; <= 5 hours 9> 5 hours; <= 10 hours 10> 10 hours; <=40 hours 6Total 218
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5) Red Tape Reduction Commission
Background� Newly established January 2011
Previously: � 1994, Paper Burden Reduction Initiative – a joint public/private forum � 2007, Paper Burden Reduction Initiative – reduce by 20%
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Red Tape Commission (con’t)
Opportunities:� Has opened the door for us to start a discussion
with Government
� Hope: Government to collect once and only once and share
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6) Challenges� Data Users
• There are endless data needs!!!• Need some sense of priority
• Need an infrastructure robust enough and responsive enough to support survey programs now and into the future
• Need to avoid technical failure as well as business failure
• Need an efficient process and efficient systems to support