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picture1_Excel Sheet Download 31021 | Diagnostics


 238x       Filetype XLSX       File size 0.06 MB       Source: www.census.gov


File: Excel Sheet Download 31021 | Diagnostics
sheet 1 trading day methodology notes on trading day adjustment methodology the shipments data in the m3 survey are adjusted for calendar month variations both length of month and number ...

icon picture XLSX Filetype Excel XLSX | Posted on 08 Aug 2022 | 3 years ago
Partial file snippet.
Sheet 1: Trading Day Methodology
NOTES ON TRADING DAY ADJUSTMENT
METHODOLOGY

The shipments data in the M3 survey are adjusted for calendar month variations, both length of
month and number of trading days per month. The selection of these adjustment factors is based
primarily on recognition of patterns contained in the data using the regression and spectral analysis
capabilities of the X-13ARIMA-SEATS seasonal adjustment software.

Factors are considered optimal when the daily weights assigned to the industry eliminate or
diminish the peaks in the spectral plots, which are based on calendar frequencies, and lower the
absolute value of the month-to-month change in the residual irregular component of the data
series.

New orders data in this publication are implicitly trading day adjusted by using the trading day
adjusted shipments as input to their derivation. The difference in unfilled orders is typically not
trading day adjusted.
Because monthly stock series, such as inventories and unfilled orders data, may be considered
to be accumulations of monthly flows, it is possible to adjust these series for trading day effects.
Using diagnostics similar to those described above, particular inventory, stage-of-fabrication
inventory, and unfilled orders series have been adjusted for stock trading day effects.

For shipments series, the chi-square statistics for the 6-coefficient trading-day regressors are
shown and should be compared to the appropriate upper percentile of the chi-square distribution
with 6 degrees of freedom when testing for statistical significance at a specified level. For example,
at the 10% level of significance, the critical value would be 10.64. For the particular stock series
that have been adjusted for stock trading day effects, because the number of coefficients
in the model could be either 1 or 6, similar diagnostics are not shown for these series, but are
available upon request.

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...Sheet trading day methodology notes on adjustment the shipments data in m survey are adjusted for calendar month variations both length of and number days per selection these factors is based primarily recognition patterns contained using regression spectral analysis capabilities xarimaseats seasonal software considered optimal when daily weights assigned to industry eliminate or diminish peaks plots which frequencies lower absolute value monthtomonth change residual irregular component series new orders this publication implicitly by as input their derivation difference unfilled typically not because monthly stock such inventories may be accumulations flows it possible adjust effects diagnostics similar those described above particular inventory stageoffabrication have been chisquare statistics coefficient tradingday regressors shown should compared appropriate upper percentile distribution with degrees freedom testing statistical significance at a specified level example critical wou...

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