  In legislative redistricting, most states draw their House and Senate maps
separately. Ohio and Wisconsin require that their Senate districts be made with
a 3:1 nesting rule, i.e., out of triplets of adjacent House districts. We seek
to study the impact of this requirement on redistricting, specifically on the
number of seats won by a particular political party. We compare two ensembles
generated using Markov Chain Monte Carlo methods; one which uses the ReCom
chain to generate Senate maps without a nesting requirement, and the other
which uses a chain that generates Senate maps with a 3:1 nesting requirement.
We find that requiring a 3:1 nesting rule has minimal impact on the
distribution of seats won. Moreover, we study the impact the chosen House map
has on the distribution of nested Senate maps, and find that an extreme seat
bias at the House level does not significantly impact the distribution of seats
won at the Senate level.
