“…Given the influence of "bill managers" on legislators' options for moving bills through and out of committees (Evans 1991;Hall and Evans 1990), I include two key controls for whether a legislator was a member of a powerful committee (rules, ways and means, or appropriations) and also, whether a legislator was a subcommittee chair, given that these are the workhorses of policy in the chamber. And finally, given the influence of district characteristics on legislative 12 behavior (Waggoner 2018), I adopt Fowler and Hall's (2016) strategy for accounting for issue specific district characteristics using census data, including, percent in district as military personnel (defense model), percent in district in poverty (economy model), percent in district as farm workers (agriculture model), percent in district as education workers (education model), percent of the population over 64 years old (health model), and finally percent of the district that is African American (civil rights/liberties model). 13 In light of the dichotomous variables of bill topics (e.g., Defense bill=1; Non-Defense Bill=0), I estimate six separate multilevel logistic regressions, each with the dependent variable corresponding to a specific issue, with random effects specified for individual legislators, nested For a detailing of the MRP procedure broadly, see Lax and Phillips (2009b, 109-112).…”