In practice the difference-in-difference estimate is created by interacting the treatment (in this case time) variable with a dummy variable indicating the treatment cohort.
That is only a fraction of the 1.2 million tons that experts estimate was created by the falling buildings.
Revisions for June and July suggest that 50,000 fewer jobs than earlier estimated were created.
About three-quarters of that data, EMC estimated, was created by ordinary consumers.
This is helpful to have as a reference to help understand how estimates are created when working through the R vignette.
Thanks to two decades of falling crime rates, the Reagan-era "lifetime likelihood of victimization" estimates I cited above presumably no longer obtain; indeed, I would expect that the likelihood of victimization right now might be about half what it was when those estimates were created.
In the case of 10-fold cross-validation this means that 10 estimates are created where each is based on 90% of the training data.
Fractional cover estimates were created by combining monthly 0.004 degree resolution, cloud-filled [40] MODIS EVI data with 0.0003 degree (approx. 30-m) resolution 2006 NLCD and 2001 Canadian land cover data to estimate the proportion of each land cover contained in a MODIS pixel.
These estimates were created based on interviews with Verizon staff on what technology has been installed in most cell sites.
Event-related estimates were created for each trial type within task conditions (AX, AY, BX, BY, no-go within Emotion and Neutral task versions).
