  This paper provides partial identification results for the marginal treatment
effect ($MTE$) when the binary treatment variable is potentially misreported
and the instrumental variable is discrete. Identification results are derived
under different sets of nonparametric assumptions. The identification results
are illustrated in identifying the marginal treatment effects of food stamps on
health.
