This paper introduces the "Government-imposed
Restrictions on International Economic Relations'' (GRIER) dataset. Existing
data projects have been instrumental in identifying major sanctions cases or
episodes. However, legacy data are limited in their ability to account for
substantive heterogeneity and temporal evolution of specific economic
restrictions imposed, which has limited scholars' ability to capture the
increasingly complex nature of sanctions over time. Using each restriction (i.e.,
the specific banned interaction across international borders) as the unit of
analysis, the GRIER dataset codes all government-mandated restrictions by the
EU, the UN, and the US for the years spanning 1992 to 2025. With a discussion
of coding procedures and illustrations of summary statistics, we demonstrate
that the GRIER dataset will help researchers test novel theories on the use,
effectiveness, and consequences of sanctions on all sanctioned entities (e.g.,
states, individuals, and firms).