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Coded 1 if the member signed at least one such petition; 0 otherwise. |\n| Dvotespercent | Democratic candidate\u2019s two-party vote share in the immediately preceding U.S. House election for the seat (for the 73rd Congress, the 1932 House election). Stored as a proportion on \\[0, 1\\]. |\n| icpsr | ICPSR numeric identifier for the U.S. House member. |\n\nDataset Context:\nThis file is a member-level dataset constructed for the study of U.S. House civil-rights politics in the mid-20th century. It focuses on signatures on pro\u2013civil-rights discharge petitions, an agenda-setting mechanism used to bring stalled bills to the floor. Each row represents a U.S. House member serving in the **73rd Congress (1933\u20131934)**, indicating whether the member signed the relevant pro\u2013civil-rights discharge petition(s) covered by this file, along with linked electoral information from the prior House election and a standardized legislator identifier.\n\nPetition signatory data were transcribed from original House discharge petitions housed at the National Archives and compiled in prior research, then merged to district-level election returns (two-party vote shares; for this Congress, from the 1932 election) and legislator identifiers (ICPSR). The broader project from which this file is drawn assembles multiple indicators of members\u2019 civil-rights-related legislative activity (including discharge petition signatures, floor speeches, and bill sponsorship) across many Congresses spanning 1933 to 1972; this particular file provides the 73rd-Congress member-level signature indicator and associated electoral context.\n","file_sha256":"5cdda493e5f58e4d5a9d7b4860a280b80a5a99faa2a933480b7d304e9dd7dc6e","format":"csv","frame_sha256":null,"generator":null,"kind":"file","licence":"redistributed by CausalReasoningBenchmark (MIT) under the original replication data's terms","member":null,"object":null,"params":{},"path":null,"read_kw":{},"records":null,"role":"agent","sha256":"5cdda493e5f58e4d5a9d7b4860a280b80a5a99faa2a933480b7d304e9dd7dc6e","transforms":[],"url":"https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/data/ds_0081/data/data.csv"}},"difficulty":"M","id":"crb_papers.q116","level":"T2","meta":{"agent_reach":{"blocked_by":["no_reference_path","no_tool:rdrobust_robust_bias_corrected","needs_op:rdrobust_cluster_variance"],"dtypes":{"ds_0081":{"petpooled":"int64"}},"named":{"outcome":["petpooled"],"treatment":[]},"reachable":false,"rule":"magi_bench.reach/1"},"answer_format":{"figure_transform":"identity","round_to":null,"unit_scale":1.0},"cluster":"ds_0081","crb":{"data_path":"data/ds_0081/data/data.csv","dataset_id":"ds_0081","gold":{"ci95":[-0.7785057898361308,0.2248034812672456],"ci_rule":"effect \u00b1 1.96\u00b7|standard_error| (evaluate_result.ci_bounds)","effect":-0.2768511542844426,"standard_error":0.25594624262841237},"identification":{"causal_quantity":"CATE","cutoff":0.5,"outcomes":["petpooled"],"running_variable":"Dvotespercent","strategy":"Regression Discontinuity","treatments":[],"variant":"sharp"},"identification_strategy":"Regression Discontinuity"},"naive":{"dataset":"ds_0081","treatment":"Dvotespercent","y":"petpooled"},"native_id":"116","reference_path":{"calls":[],"needs":["no_tool:rdrobust_robust_bias_corrected","needs_op:rdrobust_cluster_variance"],"provenance":"none","quotes":{},"reference_datasets":[],"source_id":"crb_papers.q116.script"}},"question":"Among districts with elections decided around the 50% Democratic vote-share threshold, what is the effect of electing a Democrat (versus a Republican) on the representative's likelihood of signing civil-rights discharge petitions in the 73rd Congress?","requires":[],"runner":null,"sources":["crb_papers.q116.gold","crb_papers.q116.script"],"split":"public","suite":"crb_papers","tags":["econ-bench","external","crb","rd","ref_none"],"target":"agent","tool":null,"truth":"CausalReasoningBenchmark gold at the pinned revision: causal_queries.json effect and standard_error (the value the item's estimation.py prints), scored as evaluate_result.py scores estimate_within_solution_ci"}