10.7910/DVN/RPZLMY Bonica, Adam Adam Bonica Stanford University Sen, Maya Harvard University Harvard Dataverse 2016 Social Sciences Ideal point estimation Common-space scaling Judicial behaivor Federal courts Lawyers and the legal profession Political Analysis Bonica, Adam Adam Bonica Stanford University 2016-08-03 2016-08-07 10.7910/DVN/RPZLMY/SXMXZA 10.7910/DVN/RPZLMY/E6ZRBI 10.7910/DVN/RPZLMY/OLFJFS 10.7910/DVN/RPZLMY/CGRBPC 10.7910/DVN/RPZLMY/JC0BEQ 10.7910/DVN/RPZLMY/UTRVK3 10.7910/DVN/RPZLMY/LEEIOF 10.7910/DVN/RPZLMY/8EOSQJ 10.7910/DVN/RPZLMY/SC3LWK 10.7910/DVN/RPZLMY/B5J4WT 10.7910/DVN/RPZLMY/X1XRBW 10.7910/DVN/RPZLMY/NRXJNY 10.7910/DVN/RPZLMY/6AM6ZF 10.7910/DVN/RPZLMY/WGAVY2 10.7910/DVN/RPZLMY/HWETOA 338812 1625581 215087 31412972 1656 3032 6652 3570 12617 1647 3138 4801 77472 1324 1775 text/tab-separated-values text/tab-separated-values text/tab-separated-values text/csv type/x-r-syntax type/x-r-syntax type/x-r-syntax type/x-r-syntax type/x-r-syntax type/x-r-syntax type/x-r-syntax type/x-r-syntax application/pdf text/plain type/x-r-syntax 1.0 Creative Commons CC0 1.0 Universal Public Domain Dedication. This replication archive contains all data and code to replicate the results in "A Common-Space Scaling of the American Judiciary and Legal Profession" by Maya Sen and Adam Bonica. <p> <p> <b>Abstract:</b> We extend the scaling methodology previously used in Bonica (2014) to jointly scale the American federal judiciary and legal profession in a common-space with other political actors. The end result is the first data set of consistently measured ideological scores across all tiers of the federal judiciary and the legal profession, including 840 federal judges and 380,307 attorneys. To illustrate these measures, we present two examples involving the U.S. Supreme Court. These data open up significant areas of scholarly inquiry. Volume #, Issue #