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Benchmarking quarterly GDP to other official statistics.

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Title: Benchmarking quarterly GDP to other official statistics.


1
Benchmarking quarterly GDP to other official
statistics.
  • Andrew Mortimer
  • Short-term Economic Indicators Branch

2
Purpose
  • To demonstrate a method of constraining quarterly
    short-term indicators to other published
    statistics
  • To seek the views of SESCG on
  • the need for benchmarking
  • what source(s) to benchmark to
  • timing

3
Comparison of Quarterly GDP against other sources
  • Differences between estimates are inevitable
  • Actual (directly measured) values of sectoral GVA
    are available from
  • Regional Accounts
  • SABS (ABI)
  • Scottish Supply-use tables
  • Quarterly GVA uses completely different data
    sources
  • Uses proxy measures as a short-term indicator of
    GVA in constant prices.
  • Is currently the only official measure of real
    growth in the economy and consequently is used
    for long-run analysis

Lagged by a number of years
4
Example Hotels and catering
5
Example Hotels and catering
6
Example Hotels and catering
7
Example Hotels and catering
8
Example Hotels and catering
9
Example Hotels and catering
10
Example Hotels and catering
11
Example Hotels and catering
12
Example Hotels and catering
13
Benefits
  • Consistency between official statistics is
    desirable
  • Long-run growth measured using actual GVA
  • Increased scrutiny of Regional Accounts / other
    official statistics
  • Focus on quarterly GDP shifts, appropriately, to
    its intended use i.e. a short-term indicator of
    growth

14
Problems
  • Choice of gold standard
  • Depending on the source constrained to,
    potentially large revisions on an annual basis
  • Scottish Government are involved in the quality
    assurance of regional accounts and have been
    instrumental in highlighting problems in the
    statistics but QA is performed using aggregates,
    not source data loss of control
  • Whether or not to anticipate and adjust for
    differences what happens if systematic bias is
    indentified and then cancelled out by new
    observations (or vice-versa)?
  • Some component series used in quarterly GDP are
    expressed in constant prices at the outset with
    no established deflator that could be used to
    inflate them

15
Timing
  • Assuming that we pursue benchmarking
  • 3 choices (not mutually exclusive)
  • Constrain constant price estimates to
    double-deflated constant price I-O tables (2-3
    years)
  • Constrain to time-series of current price I-O
    tables (1 year)
  • Constrain to 32 industry-level regional accounts
    (immediate?).

16
Discussion
  1. the need for benchmarking
  2. what source(s) to benchmark to
  3. Timing.
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