Enter the gross settlement, fees, costs, service payments, and base payment. Every final award distributes automatically.
Identify missing time periods and choose the level of detail to track.
Determine how to assign a dollar amount to each missing week.
Incorporate additional discounts for the chance of success of the extrapolations.
There are many ways to value missing weeks. The methods below can help guide the right choice for any matter.
When the class is uniform and a single defensible number is preferred over per-group rates.
All six case members pool together. One per-week number applies to everyone.
When pay varies by role, a single overall rate would blur the differences between roles.
Damages pool by role. Each role shares one per-week number.
When member-level data is reliable, a pooled average would mask real differences between case members.
Damages and weeks are tracked per case member, so each member gets a unique per-week number.
When wages at the beginning of the damages period differ from wages at the end, a single overall rate would overstate one extreme.
The first 6 months of records set the rate for before-data missing weeks; the last 6 months set the rate for after-data missing weeks.
When pay rates shifted year over year across the damages window, a flat overall rate would hide the actual trajectory.
Each year in the damages window has its own per-week rate, computed from data inside that year. A missing week takes the rate of the year it falls in.
When pay scales with tenure and the class spans new hires through long-tenured staff, a pooled rate would overstate new-hire damages.
Per-week value depends on tenure band. Newer hires take the first-year average; mid-tenure and senior members take their own band averages.
When pay structures differ across sites within the class, a pooled rate would overlook the location effect.
Case members pool by location. Each site shares one per-week number, independent of role or tenure.
Extrapolations can be built to any level of granularity. This example sorts missing weeks into three categories so each can be valued and discounted separately.
This bar represents the time period covered by the data set.
Weeks of damages for workers still on payroll after the recorded data ends.
Weeks of damages for case members working before the recorded data starts.
Weeks of damages for case members with unexplained gaps within the recorded data.