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