At this point you may clickAdd to load an additional dataset, click Edit to edit the selected
dataset, clickDelete to delete the selected dataset, or complete this variable management step
ClickingOK returns you to the Manage Setups window, where in the Variable DataSets
box, you should see an entry for the variable dataset that you just created.
188.8.131.52Format Variable Data
Table 4-9a presents the variables that can be used in variable datasets, and Table 4-9b presents
a sample of what a dataset might look like.
It may be desirable for the dollar values generated by Valuation functions to account for inflation,
and generate economic benefits for years other than the year initially specified by your valuation
data. To do this, you can load inflation data into BenMAP, and then include a reference to your
inflation data when developing valuation functions. (We give an example of this below.)
The valuation functions should have a consistent dollar year, and this dollar year has to be kept in
mind when developing the inflation datasets. That is, whichever dollar year is used for your
valuation functions, then the inflation values for that year should be set to 1. For example, in the
U.S. setup, the valuation functions have a dollar year of 2000, so the inflation datasets have a
value of 1 for the year 2000. (Values for years earlier than 2000 are less than 1, and values for
years after 2000 are greater than 1, because inflation has increased from one year to the next.)
The U.S. setup in BenMAP provides inflation factors for three different types of values:
All Goods Indexcan be used to adjust the value of generic goods.
Medical Cost Indexcan be used to adjust the value of medical expenses.
Wage Indexcan be used to adjust the value of wages.
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