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# Datasets  * To address this question we used two datasets.  First, we used the US  General Social Survey (GSS)¹: A (GSS), which is a  long running (1972-) survey on social attitudes and practices in behavior of US American citizens. In addition to social attitudes,  the US.  * GSS provides demographic and life-course data data about respondents.  Each row represents one respondent, with demographic information, and answers respondent.  Second, we used a database of federal appeals court cases that were decided at the level of circuit courts. The cases were separated by issue (e.g. affirmative action, gender discrimination, racial discrimination). A circuit court case is decided by a randomly assigned panel of three judges. The dataset provides information about the outcome of each case, which is coded as the number of judges that voted in favor the outcome that can be considered  toquestions like: "Do you think there should  be laws more "progressive" (that is, pro-affirmative action, and  against marriages between blacks racial or gender discrimination for example). The dataset also contains information about judge characteristics, such as sex, religion, race,  and whites?" the party of their appointing president.  * a database² of federal appeals court cases, by issue (e.g. affirmative action, sex discrimination). Each case is decided by a randomly-assigned panel of 3 judges.  * Each row represents one case, coded for whether the decision was "progressive" or not. Codes for judge characteristics (e.g., party of appointing president).