  The effect of the full treatment is a primary parameter of interest in policy
evaluation, while often only the effect of a subset of treatment is estimated.
We partially identify the local average treatment effect of receiving full
treatment (LAFTE) using an instrumental variable that may induce individuals
into only a subset of treatment (movers). We show that movers violate the
standard exclusion restriction, necessary conditions on the presence of movers
are testable, and partial identification holds under a double exclusion
restriction. We identify movers in four empirical applications and estimate
informative bounds on the LAFTE in three of them.
