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7 The statistics cover all bank commitments, and all commitments for secured housing finance for owner occupation made by permanent building societies. Of the remaining commitments, the largest lenders for each of secured housing finance for owner occupation, other personal finance, commercial finance and lease finance are covered, so that when calculated separately for each of the four broad categories of purpose finance, at least 95% of Australia-wide finance commitments and at least 90% of each State's finance commitments are covered. While many lenders other than banks are not covered, at least 70% coverage is maintained for all published lender types (including the Other Lenders series and Other Lessors series).
8 An annual collection is conducted to maintain and update the survey coverage. New lenders are included as their lending for any of the four categories of finance becomes sufficiently large.
9 From June 2001, the statistics for:
Additional smaller lenders are also covered where it is necessary to maintain collection coverage (as specified in paragraph 7).
10 Revisions to previously published statistics are included in the publication as they occur.
11 Changes in the classification of lenders (e.g. the conversion of a permanent building society to a bank) are reflected in the Type of Lender series from the month of such changes. Data for earlier periods for such lenders are not reclassified. Details of the establishment of new banks are published in the Reserve Bank of Australia's monthly Bulletin in the section on Technical Notes to Tables.
12 Seasonal adjustment is a means of removing the estimated effects of normal seasonal variation and ‘trading day effects'. A 'trading day effect' reflects the varying amounts of activity on different days of the week and the different numbers of days of the week in any month (i.e. the number of Sundays, Mondays, etc). This effect may be partly caused by the reporting practices of the lenders. Adjustment is also made for Easter which may affect the March and April estimates differently. Seasonal adjustment does not remove the effect of irregular or non-seasonal influences (e.g. a change in interest rates) from the series.
13 Smoothing seasonally adjusted series reduces the impact of the irregular component of the seasonally adjusted series and creates trend estimates. These trend estimates are derived by applying a 13 term Henderson-weighted moving average to all but the last six months of the respective seasonally adjusted series. Trend series are created for the last six months by applying surrogates of the Henderson moving average to the seasonally adjusted series. For further information, refer to Information Paper: A Guide to Interpreting Time Series - Monitoring Trends: An Overview (Cat. no.1348.0) or contact the Assistant Director, Time Series Analysis on Canberra 02 6252 6345 or by email at email@example.com.
14 While the smoothing technique described in paragraph 13 enables trend estimates to be produced for the latest few months, it does result in revisions to the trend estimates as new data become available. Generally, revisions become
smaller over time and, after three months, usually have a negligible impact on the series. Changes in the original data and re-estimation of seasonal factors may also lead to revisions to the trend.
EFFECTS OF ROUNDING
15 Where figures have been rounded, discrepancies may occur between sums of the component items and totals.
ABS DATA AVAILABLE ON REQUEST
16 Estimates for months prior to those shown in this publication and more detailed series are available. There will be a charge for the provision of such data.
17 Detailed data are also available from AusStats, a subscriber service of on-line time series in spreadsheet format. To subscribe, or for more information, contact the ABS National Information and Referral Service on 1300 135 070.
18 Users may also wish to refer to the following ABS releases:
SYMBOLS AND OTHER USAGES
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