Transcript UES Overview

The Integrated Approach to
Economic Statistics
“The Canadian Approach”
Friends of the Chair Group on Integrated Economic
Statistics
Marie Brodeur, Michel Girard
Bern, Switzerland
June, 2007
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Statistique Canada
Overview of the presentation
1.
Historical Context
2.
UES Background
3.
Integrated Approach Principles
4.
Survey Characteristics
4.
Business Register
6.
Sampling
7.
Enterprise Financial Program
8.
Use of Tax Data/Chart of Accounts
9.
Data Processing
10.
Management of the UES
11.
Future Directions
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1. Historical Context
 Before 1986, various production accounts were not
synchronized and developed independently of IE accounts
 1986: From 3 GDP measures to a unique one
 Beginning of the reconciliation period
 1997 Historical Revision
 Further integration of concepts + SNA 1993
 Implementation of NAICS/Harmonization of
classifications
 Make uniform definition public sector
 First real step towards integration
 Program to Improve Provincial Economic Statistics
(PIPES)
 Fiscal programs
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Fiscal Programmes
 Tendency to use SNA statistics because of their
coherence
From survey data and government statistics –
Financial Management System to,
To production accounts, IE accounts
 Higher quality and coherence of regional statistics
HST allocation
Equalization
Eventually First Nation Sales Tax
 Coherence (structure) - consistency (frequency)
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2. UES Background
 Major project to improve provincial statistics (1996)
 Occasion to improve consistency, coherence,
breadth and depth of business survey data
 More detailed Industry & Commodity data
 Creation of Enterprise Statistics Division (ESD)
 Gradual Expansion of Surveys; Covers 65% of GDP
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3. Integrated Approach Principles
 Use of Single, Unduplicated Frame -- the BR
 Common Sample Design Methodology
 Maximum Use of Tax Data
 Reduction of Response Burden
 Integrated Questionnaire simple language;
harmonized concepts / common variables
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3. Integrated Approach Principles
(continued)
 Centralized Data Collection
 Enterprise Portfolio Managers
 Common Generic Processing Systems and
Methods
 Centralized Warehouse for processing and
analytical purposes
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4. Survey Characteristics
 Separate Enterprise & Establishment Surveys
 64 Establishment Surveys
 Over 55,000 collection entities representing about
68,000 establishments (17K replaced by tax for RY
2007)
 Centralized Collection -- $3.5 million budget
 Smallest businesses estimated through tax data
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5. Business Register (BR)
 BR covers all sectors
All economic units producing goods and
services in Canada
 Incorporated and unincorporated businesses
 Complex and simple enterprises
 Structure for Reference Year 2007
Legal
Operational
 Updated with Administrative Data
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Types of Administrative (Tax) Data
From the Canadian Revenue Agency (CRA)
 Agreement between CRA and STC
 T1 (unincorporated businesses)
 T2 (incorporated businesses)
 T4 (pay slips)
 GST (goods and service tax)
 PD7 (payroll deduction accounts)
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BR Structure
 Business Accounting
Investment centre
Profit centre
Cost centre
Revenue centre
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 Statistical Structure
Enterprise
Company
Establishment
Location
Deliniation of the statistical units
 Statistical structure: Conversion of operating structure
 Pros:
 Creates standardized structures that support sampling
 Provides the basis for complete and unduplicated reporting
 Cons:
 Creates many units that are identical to the units recorded in the
operating structure
 Creates units and structures that do not correspond to the real world
organizational components
 Do not treat each enterprise the same way
 Add complexity to the data collection process
 Coherence analysis is more difficult to perform
Recommandations
Use the operating structure instead of the
statistical structure starting with RY 2007
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Using the operating structure
ABC
Ltd
Investment
centre
a
a
Profit
centre
Profit
centre
Using the operating structure
ABC
Ltd
a
Profit
centre
Profit
centre
a a
Cost
Centre
Cost
Centre
Cost
Centre
Profit
centre
Profit
centre
6. Sampling
 Stratified Random Sample
 Industry (NAICS 4)
 Province
5.
Sampling
 Size
1 Take-all stratum
2 Take-some strata (50% of units replaced by
tax)
Take-none strata (under thresholds)
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Stratification in One Look
Sampling revenue
Cell
Take-all
Must
take
units
Take-some 2
Take-some 1
Take-none
Exclusion Thresholds:
To reduce response
burden on small
enterprises
RY2007 Methodology: Tax Replacement
T1
T2
Main sample
Main
sampleto
tobe
besurveyed
surveyed
Not eligible for tax : questionnaire
Characteristic survey (some Services surveys) or
questionnaire (all other divisions)
Tax replaced
ROYCE-MARANDA THRESHOLDS
T1 TakeNone:
Sample of
e-filers
T2 Take-None:
Census of General
Index of Financial
Information (GIFI)
7. Enterprise Financial Program
 Monitor the size, the financial structure and position
of the corporate sector
 Business Register
 Survey of complex enterprises over $250 millions
in revenues or assets
 Consolidated Balance Sheets and Income
Statements, corporate taxation
 Use of Tax data
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Enterprise Content
 QFSS: Quarterly Survey of Financial Statements
BS, income statements, change in financial
position, financing position, rate of return and
other financial ratios
Corporate profits and CCA
Sector accounts
 AFTS: Annual Financial and Taxation Survey
QSFS + Public Accounts (GBE) + Tax Data
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8. Use of Tax data
 Objective is to substitute 50% of simple
establishments.
 Direct Data Replacement for annual surveys
using
T1(unincorporated)
T2 (incorporated)
 Facilitated by the Chart of Accounts (COA).
 Result
Almost 65% of units replaced by tax data
Impact of 27% in the total estimate
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Chart of Accounts
COLLECTION
Sales
Operating
revenue
EBIT
Gross
Cost of profit Expenses
sales
LINK, BRIDGE, CONCORDANCE
DISSEMINATION
Shipments
Outputs
Inputs
Value
added
Operating
Surplus
GDP
Expected Benefits of a Chart of Accounts
 Standardization in business data collection
 Higher survey response
 Increase in quality of data
 Comparison of data from various sources
 Increase efficiency in using administrative data
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Links to Chart of Accounts
Establishment
CHART
OF
ACCOUNT
Legal entity
Enterprise
UES: Use of Tax Data
 Validation (comparison)
Verify dubious collected data against the
equivalent tax data record
 Imputation
One of the methods used for non-response
 Estimation
Below take-none
Direct Data Replacement
Some annual surveys 100% tax (Taxi &
Limousines, Survey of Mapping)
 Update Business Register
 Allocation of survey data (use tax revenues, salaries and
expenses)
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9. Centralized Processing Systems and Databases
 Develop centralized systems
 Move away from stand-alone
 Single point of access for security
 Integrated Questionnaire Metadata System
 Edit and imputation
 Allocation and Estimation
 Data Warehouse
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Centralized Collection
Pre-Contact
(17K Businesses)
Mailout
(38K CEs)
Receipt
(75% target)
Score Function
Edit / Verification
(BLAISE)
“Clean” Records
Capture / Imaging
Delinquent Follow-Up
Enterprise Portfolio Managers
 Top 350 enterprises in Canada
 Status
Platinum, Gold, Silver, Bronze
 Personal visits
 Enterprise Profiling
 Coordination of mail-out and collection
 Enterprise/ Establishment coherence
 Holistic Response Management
Strategic Response Unit
Escalation Process / Statistics Act
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Post-Collection Processing
“Clean” Records
Pre-Grooming
Tax
Data
Central Data
Store
USTART
Edit & Imputation
Allocation /
Estimation
Subject Matter
Review & Correction
Tool
10. Management of the UES
 ESD provides functional support and coordination
 A series of committees is charged with process
clarification & decision making
Project Management Team
Operations Management Committee
Frame
Operations
Sampling
Tax Data
Operations
Content /
Collection
Processing
Operations
11. Future Directions
 Business Register Redesign for RY2007
 North American Product classification System
Service inputs
 Data Integration Project
Make a more efficient use of tax data
 “Holistic Response Management” strategy
 Welcome new surveys
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