POL 345, Problem Set 8: Ideology of US Supreme Court Justices
Spring 2020
We introduced an important programming method called the loop. In this exercise, we practice using loops
with data on the ideological positions of United States Supreme Court Justices. Just like legislators, justices
make voting decisions that we can use to estimate their ideological positions. This exercise is based in part
on Andrew Martin and Kevin Quinn. (2002). ‘Dynamic Ideal Point Estimation via Markov Chain Monte
Carlo for the U.S. Supreme Court, 1953-1999.’ Political Analysis, 10:2, pp.134-154.
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