I am seasonally adjusting a weekly transaction time-series. The seasonal adjustment works great, except for on and around closed days. At and around these points there are serious errors. What is the proper way to decompose a time series for these localized closed days?
I can think of a couple options
- on closed days the seasonal adjustment = the observation
- on closed days the seasonal adjustment = trend
- remove closed days and days around closed days
For more information, I am using
decompose(type = "multiplicative"). I have tried
additive, but had much worse performance.