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Values < 0 indicate DOBs before 1990-11-04 (older; eligible by the cutoff), and values > 0 indicate DOBs after 1990-11-04 (younger; ineligible by the cutoff). (This variable is a scaled/normalized distance derived from full date of birth.) |\n\nDataset Context:\nThis file is a derived extract from Florida\u2019s statewide voter registration database used in a study of youth political participation and preregistration. It contains individual-level records for registrants from a Florida voter-file snapshot obtained from the Florida Division of Elections (downloaded around May 2013). Each row represents a registrant and includes official vote history (e.g., whether the person voted in the 2012 general election), an indicator derived from registration history for whether the registrant entered the rolls via preregistration (registered before age 18), and a constructed date-of-birth proximity measure centered on a key birthdate cutoff.\n\nThe analytic extract is restricted to young registrants born within a narrow window around **November 4, 1990**, which aligns with eligibility timing for the 2008 general election. Full dates of birth in the voter file are used to compute the distance-to-cutoff running variable (days_ratio_flipped), where 0 denotes an exact match to the cutoff date and the sign indicates whether the registrant was born before or after the cutoff. The resulting dataset provides a focused view of registration-mode differences (preregistration vs regular registration) and subsequent turnout behavior among adjacent birth cohorts near the 2008 eligibility threshold.\n","file_sha256":"da42c6539d3e0e06d01efcb6a97f2a15419fd0f7a6c4f565560eee3dec0dcb5a","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":"da42c6539d3e0e06d01efcb6a97f2a15419fd0f7a6c4f565560eee3dec0dcb5a","transforms":[],"url":"https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/data/ds_0076/data/data.csv"}},"difficulty":"M","id":"crb_papers.q111","level":"T2","meta":{"agent_reach":{"blocked_by":["no_reference_path","no_tool:rdrobust_mserd_bandwidth","needs_spec:gold_row"],"dtypes":{"ds_0076":{"voted_2012":"int64"}},"named":{"outcome":["voted_2012"],"treatment":[]},"reachable":false,"rule":"magi_bench.reach/1"},"answer_format":{"figure_transform":"identity","round_to":null,"unit_scale":1.0},"cluster":"ds_0076","crb":{"data_path":"data/ds_0076/data/data.csv","dataset_id":"ds_0076","gold":{"ci95":[0.012166079761018436,0.04586725143186535],"ci_rule":"effect \u00b1 1.96\u00b7|standard_error| (evaluate_result.ci_bounds)","effect":0.029016665596441893,"standard_error":0.008597237671134418},"identification":{"causal_quantity":"CLATE","cutoff":0,"outcomes":["voted_2012"],"running_variable":"days_ratio_flipped","strategy":"Regression Discontinuity","treatments":[],"variant":"fuzzy"},"identification_strategy":"Regression Discontinuity"},"naive":{"dataset":"ds_0076","treatment":"days_ratio_flipped","y":"voted_2012"},"native_id":"111","reference_path":{"calls":[],"needs":["no_tool:rdrobust_mserd_bandwidth","needs_spec:gold_row"],"provenance":"none","quotes":{"gold_row":"pick(arr): d = arr.to_dict(); d.get('Robust') or ... or list(d.values())[-1] (prints a dict of the three rows)"},"reference_datasets":[],"source_id":"crb_papers.q111.script"}},"question":"Among young Florida registrants near voting age during the 2008 election, what is the effect of being offered preregistration during the 2008 campaign (versus registering normally) on the probability of voting in 2012?","requires":[],"runner":null,"sources":["crb_papers.q111.gold","crb_papers.q111.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"}