{"args":{"bandwidth":0.01,"cutoff":0,"dataset":"gov_transfers","kernel":"triangular","polynomial":1,"running":"Income_Below","y":"Support"},"checks":[{"abs_tol":4.419589592144583e-08,"bind":"any","column":null,"failure_class":null,"field":"value","interval":false,"key":"effect","kind":"figure_close","min_lre":null,"note":"software reference","open_interval":false,"rel_tol":1e-06,"required":true,"source_id":"mmv_2011.tab20_1_c2.software","table":null,"tool":"infer.rdd","value":0.03348175396085784,"weight":1.0,"where":null},{"abs_tol":4.419589592144583e-08,"bind":"any","column":null,"failure_class":null,"field":"se","interval":false,"key":"effect","kind":"figure_close","min_lre":null,"note":"software reference, SE","open_interval":false,"rel_tol":1e-06,"required":true,"source_id":"mmv_2011.tab20_1_c2.software","table":null,"tool":"infer.rdd","value":0.04419589592144583,"weight":1.0,"where":null},{"abs_tol":null,"bind":"any","column":null,"failure_class":null,"field":"value","interval":false,"key":"effect","kind":"figure_close","min_lre":null,"note":"published cell","open_interval":false,"rel_tol":null,"required":true,"source_id":"mmv_2011.tab20_1_c2.paper","table":null,"tool":"infer.rdd","value":0.033,"weight":1.0,"where":null},{"abs_tol":null,"bind":"any","column":null,"failure_class":null,"field":"se","interval":false,"key":"effect","kind":"figure_close","min_lre":null,"note":"published cell, SE (known deviation: unverified)","open_interval":false,"rel_tol":null,"required":false,"source_id":"mmv_2011.tab20_1_c2.paper","table":null,"tool":"infer.rdd","value":0.021,"weight":1.0,"where":null}],"datasets":{"gov_transfers":{"columns":null,"description":"Households near the income cutoff of Uruguay's PANES cash-transfer programme, the extract of the survey of Manacorda, Miguel and Vigorito (2011), 'Government Transfers and Political Support', distributed with the causaldata R package and used in chapter 20 of Huntington-Klein's 'The Effect': one row per household (1,948 rows), only households whose income measure is within 0.02 of the cutoff. Households below the cutoff were eligible for the transfers. Columns: rownames, the row number; Income_Centered, the household's income measure minus the eligibility cutoff (negative values are below the cutoff, hence eligible); Income_Below, minus Income_Centered, added by the task author: how far below the cutoff the household's income measure is (positive values are eligible); Education, average years of education of household members aged 16 and older (missing for some households); Age, average age of household members; Participation, 1 if the household participated in the transfer programme; Support, the household's support for the government (0, 0.5 or 1; higher means more support).","file_sha256":"51312ecd5b3cb22b5dc027966a81e0a8579f24a708ce4b476674fc527652ebd0","format":"csv","frame_sha256":null,"generator":null,"kind":"file","licence":"causaldata R package, MIT; fetched from Rdatasets, not redistributed.","member":null,"object":null,"params":{},"path":null,"read_kw":{},"records":null,"role":"agent","sha256":"51312ecd5b3cb22b5dc027966a81e0a8579f24a708ce4b476674fc527652ebd0","transforms":[{"args":{"args":{"column":"Income_Centered"},"name":"Income_Below","op":"negate"},"op":"derive"}],"url":"https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/1dcc2bf5f955cc1224a3e1307256e1fe86b68dae/csv/causaldata/gov_transfers.csv"}},"difficulty":"E","id":"paper_repro.mmv_2011.tab20_1_c2.tool","level":"T1","meta":{"acceptable_tools":["infer.rdd"],"cluster":"mmv_2011","contamination":{"benchmark_first_public":"2021-12","gold_in_public_repo":true,"model_reported_cutoff":null,"url":"https://theeffectbook.net/ch-RegressionDiscontinuity.html"},"expected_tool":"infer.rdd","family":"rd","kind":"tool","known_deviation":{"evidence":"Recorded before this track's software-reference run and before any dry run, from the printed table and the research probe: Table 20.1 states that its standard errors are HC3, while infer.rdd computes HC1 (its only unclustered option); the research note (research-papers.md section 3.15, 2026-10-14) already reported an HC1 error near 0.044 for this specification against the printed 0.021. The printed cell is recorded and non-required on T1. Corrected at the B-join review: the HC type does not explain the gap. The column's printed coefficients match exactly, while the HC0, HC1, HC3 and classical errors of this weighted fit (0.037 to 0.0445) all differ from the printed 0.021; the convention behind the printed SE is not documented, so the kind is unverified (SE only; it was se_convention).","fields":["se"],"found_in_run":false,"kind":"unverified"},"locator":"Table 20.1 (The Effect of Government Payments on Support, Regression Discontinuity Estimates), column 'Linear with Kernel Weight', row 'Participation'","n_published":937,"paper":"mmv_2011","se_policy":{"basis":"Table 20.1 states 'Std.Errors HC3'; infer.rdd offers HC1 or clustered errors only.","convention":"HC3 as printed (the table's 'Std.Errors HC3' row; the book's R code passes vcov = 'robust' to modelsummary); the tool and the reference compute HC1","never_required":false,"stated_in_question":false},"target":"tab20_1_c2","trap_tools":[]},"question":"","requires":[],"runner":null,"sources":["mmv_2011.tab20_1_c2.paper","mmv_2011.tab20_1_c2.software"],"split":"public","suite":"paper_repro","tags":["paper_repro","mmv_2011","rd"],"target":"tool","tool":"infer.rdd","truth":"Manacorda, M., Miguel, E. and Vigorito, A. (2011). Government Transfers and Political Support. American Economic Journal: Applied Economics 3(3): 1-28 (doi:10.1257/app.3.3.1); the cells are those of its replication in Huntington-Klein, N. (2021), The Effect: An Introduction to Research Design and Causality, chapter 20 (Regression Discontinuity), Table 20.1. Table 20.1 (The Effect of Government Payments on Support, Regression Discontinuity Estimates), column 'Linear with Kernel Weight', row 'Participation' (source mmv_2011.tab20_1_c2.paper); software reference mmv_2011.tab20_1_c2.software: statsmodels 0.15.0: the reference specification of mmv_2011 tab20_1_c2 (infer.rdd, figure 'effect') on an independent code path"}