L01 - Scope and Role of QNA (ENG)
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Transcript of L01 - Scope and Role of QNA (ENG)
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7/27/2019 L01 - Scope and Role of QNA (ENG)
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Quarterly National Accounts Course
Joint Vienna Institute
August 5 - 16, 2013
L-1: Scope and Role of QNA
Reproductions of this material or any parts of it should refer to the IMF Statistics Department as the source
Lecture Outline
Scope of QNA
Role and uses of QNA
Time-series oriented data
Timeliness vs. Reliability
T e Nee or Revisions
IMF Statistics Department JVI/QNA/L1 : 2
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What is Quarterly National Accounts?
S stem of inte rated uarterl time seriescoordinated through a consistent accountingframework (SNA)
In principle cover the entire sequence of accounts andbalance sheets in the 1993 SNA
Adopt the same principles, definitions and structure ase annua na ona accoun s
Usually less complete than ANA because of dataavailability, time, and resource constraints
Provided on a timely basis (SDDS requirement: 3-month)
JVI/QNA/L1 : 3IMF Statistics Department
Scope of QNA
At current prices and in volume terms:
GDP by the production approach
GDP by the expenditure approach
At current prices:
Gross National Income (GNI) Gross Saving
JVI/QNA/L1 : 4IMF Statistics Department
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Scope of QNA
Advanced com ilation
Seasonally adjusted GDP, in addition to the originaldata very valuable for users
Full sequence of quarterly accounts by institutionalsector
Balance sheets
JVI/QNA/L1 : 5IMF Statistics Department
Role of QNA
development that is
More timely than ANA,
More comprehensive than short-term statistics
To meet this purpose, QNA should be
Timel
Accurate/ReliableComprehensive
Consistent
DetailedJVI/QNA/L1 : 6IMF Statistics Department
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Role of Quarterly National Accounts
Monitoring Business Cycles - Quarterly versus Annual DataAnnual data mask short term economic developments
5800
6000
6200
6400
6600
1450
1500
1550
1600
1650
5200
5400
5600
1300
1350
1400
1990 1991 1992 1993 1994
quarterly GDP (left hand scale) annual GDP (right hand scale)
JVI/QNA/L1 : 7IMF Statistics Department
Uses of QNA
Early identification of changes in trends
Timely implementation of economic policies
Macro-economic forecasts, including early estimates ofannual accounts
Framework for business cycle analysis
Econometric modeling, including studies of seasonalpatterns
Price and volume decomposition of nominal growth
JVI/QNA/L1 : 8IMF Statistics Department
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Time-series oriented data
Definition: a set of measurements on a ivenphenomenon over consecutive, equally spacedperiods of time, which facilitates:
identification of underlying trend and turning points
allows different periods to be compared (growth rates)
Re uirements
Consistency over time of concepts and measurement
Ordered observations dependent through time
JVI/QNA/L1 : 9IMF Statistics Department
Time-series oriented data
January, February, March, ; Q1, Q2, Q3, Q4
Cumulative data do not constitute time series
January, JanuaryFebruary, JanuaryMarche.g. they do not allow Aprils performance to becompared with Januarys
Should cover a sufficient number of yearsminimum 5 years for time series procedures (e.g.seasonal adjustment)
JVI/QNA/L1 : 10IMF Statistics Department
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Time-series oriented data
Should facilitate anal sis of the develo ment overtime in a flexible manner
The change from the same period in the previous year(withs number of seasons in a year):
1 100t
t s
I
I
The change from the previous period (period-to-periodgrowth rate):
1
1 100t
t
I
I
JVI/QNA/L1 : 11IMF Statistics Department
Time-series oriented data
TCt
long-term trend and cyclical movements
St seasonal effects
t t t t Y TC S I
It irregular component
Most QNA users are interested in seasonally adjusted series,i.e. series from which the seasonal component
has been appropriately removed
JVI/QNA/L1 : 12IMF Statistics Department
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Seasonality in QNA
Identification of Turnin Points
Unadjusted QNA series
106.0
110.0
114.0
94.0
98.0
102.0
Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3
JVI/QNA/L1 : 13IMF Statistics Department
Seasonality in QNA
Seasonally adjusted QNA series
106.0
110.0
114.0
94.0
98.0
102.0
Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3
JVI/QNA/L1 : 14IMF Statistics Department
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Seasonality in QNA
Identification of Turnin Points
Seasonally adjusted series
106.0
110.0
114.0
94.0
98.0
102.0
Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3
JVI/QNA/L1 : 15IMF Statistics Department
Timeliness vs Reliability: the Need forRevisions
Data compilation takes time
Collection of comprehensive and reliable data iscostly
Trade-off between timeliness, comprehensiveness
JVI/QNA/L1 : 16IMF Statistics Department
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Timeliness vs Reliability: the Need forRevisions
A well-balanced solution
Annual accounts
Preliminary version (after few months)
Revised and final versions (after several years)
More accurate, detailed and comprehensive .. but not timely
Quarterly accounts
,
Flash estimates
Coordinated revision of annual and quarterly estimates
Clear and transparent revision policy required(GDDS/SDDS requirement)
JVI/QNA/L1 : 17IMF Statistics Department