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Evaluation of Timber Committee Forecasts

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Working Party on Forest Economics and Statistics. 27th Session, 22-24 March 2005, Geneva ... series analysed showed a close to normal distribution (the ... – PowerPoint PPT presentation

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Title: Evaluation of Timber Committee Forecasts


1
Evaluation of Timber Committee Forecasts
  • Goal Improve response rate and forecast accuracy
  • What is the response rate
  • What is the accuracy of the forecasts

2
Responses 2002-2004
3
Response Completeness- forecast for current year
4
Completeness of Response
5
Responses to specific item Sawn softwood and OSB
6
Forecast AccuracyConstraints
  • One set of forecasts (current and next year) to
    limit initial work
  • Data sufficiently far back so that forecast years
    would have more or less final data October 2002
  • One product sawn softwood
  • 31 replies to this item (although not every
    country forecast all 6 possible data points)

7
Summary Statistics
  • Bear in mind
  • More detailed statistics available in attached
    paper (excluding dropped outliers)
  • This is only for one product, one set of
    forecasts
  • No weighting by size of country

8
Forecast Error Distribution - Exports
9
Forecast Error Distribution - Imports
10
Forecast Error Distribution - Production
11
Significant errors
  • What is a significant error?
  • When the direction of the forecast is opposite to
    the actual outcome
  • We used a cutoff of forecast gt1 and actual lt-1
    or forecast lt-1 and actual gt1

12
No change forecasts
  • What is a no change forecast?
  • Where the forecast change is between 0.5 and
    0.5
  • Such a forecast could be the outcome of a careful
    process of consultation, estimation and modeling
    or simply rounding/repeating an earlier figure

13
Are the forecasts better than guessingresults of
EAD analysis
  • 5 of the 6 series analysed showed a close to
    normal distribution (the exception was 2002/2001
    exports)
  • The forecasts were better than random guessing in
    more than 80 of the cases (gt86 for most series)
  • Forecasts appear to be more conservative than
    warranted by random outcomes
  • There is still room for improvement

14
Future steps
  • Analytical
  • Cover earlier years (1997, 1987) to compare
    current forecast success with other periods
  • Cover other products to see if trend in sawn
    softwood is representative (one roundwood, one
    panel)
  • Accomplishing goals
  • Reaching out to find more respondents
  • Feedback to show how successful forecasts are,
    encourage forecasters to risk
  • Training / networking to share knowledge and
    best practice
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