Which window is better depends on who chose the block length
The margin between a rectangular block and a tapered one, on 400 samples of 120 rows, under four rules for choosing the block length. At the length that would actually have been best on each draw the taper is ahead by 2.12 points of a 35.8% error, at 22.1 paired standard errors; at a length estimated from the sample's own persistence it is ahead by 1.89. At the length this field's own figures use — eight — the rectangle is ahead by 2.04, and at the rule of thumb by 4.54. Every rule sees the same draws. What separates them is the length: the two rules that lose to the rectangle pick 4.00 and 8.00 where the best available is 24.57, and a tapered window at a quarter of the right length has thrown away most of what it was weighting.
A block length chosen from the datawide2 views
What else it draws
The same object, drawn to answer the other questions the essays put to it.
Three quantities on one scale, in points of the error in a block resample's implied long-run variance, at 120 rows. The gap between the two windows at the best available block length — the whole subject of the comparison this field inherited — is 2.12 points. What the best rule a practitioner could actually run gives up against that same best length is 7.26, a factor of 3.42. What the rule of thumb gives up is 26.01. So the ordering between windows is worth establishing and is not worth arguing about, and the sentence that follows from it is not *use the taper* but *estimate the block length*, because that is where the points are.
Where it is used
4 essays draw this figure, each at the numbers its own argument is about, so the same picture answers 4 different questions.
- The length nobody has A block length chosen from the data
- An ordering that depends on the rule A block length chosen from the data
- Nothing in the fit picks the width A covariance with no parameter
- What choosing the length costs A block length chosen from the data