Fixes, as used here, are ways to make a model work the way we want it to work, not necessarily the way that emerges from its equations. The power over a model that fixes provide certainly can be, and often has been, abused. Nonetheless, they have a legitimate role to play. Suppose, for example, we wish to consider the impacts of some event that the equations never dreamed of, like a natural disaster or a massive overhaul of the health care system. A fix then is the natural way to convey to the model that the equations are not to be trusted entirely.

*Interdyme* has three types of fixes:

- those for macro variables
- those for vectors and matrices
- and a special type for industry output.