Tarefa paper_repro.mmv_2011.tab20_1_c1.agent
paper_reproagentT2publicépoca 1, tentativa 1Execução: 20261015T165744Z-suite-paper_repro-scripted-def9dfVeredito
Família do método (das chamadas de ferramentas): rd (regression discontinuity)
Pergunta feita ao analista
Manacorda, Miguel and Vigorito (2011), on Uruguay's PANES cash transfers, as replicated in Huntington-Klein's 'The Effect', chapter 20, Table 20.1, column 'Quadratic': households qualified for Uruguay's PANES cash transfers when their income measure fell below the eligibility cutoff, so treatment is on the low-income side of the cutoff ('you need low income to get paid'). Estimate, as a sharp regression discontinuity at the cutoff, the effect of receiving the payments on the household's backing for the government: fit a second-order polynomial in income on each side of the cutoff using every household in the extract (all lie within 0.02 of the cutoff), with no kernel weighting. Report the effect of being on the eligible side of the cutoff, with a positive sign meaning more backing among the eligible households.
Estimativa (infer.rdd): effect = 0,09286.
Valores esperados e de onde vêm
mmv_2011.tab20_1_c1.software
- Fonte
- statsmodels 0.15.0: the reference specification of mmv_2011 tab20_1_c1 (infer.rdd, figure 'effect') on an independent code path
- Tipo
- software
- Localização
- mmv_2011: Table 20.1 (The Effect of Government Payments on Support, Regression Discontinuity Estimates), column 'Quadratic', row 'Participation'
- Valor
- 0,0928553
0.09285534103880216(se 0,04363360.04363357378599472) - Conferido por
- execução de software · sm.OLS(Support, [const, treat, d·(1-treat), d·treat, squares]).fit(cov_type='HC1') with d = Income_Below - 0, rows |d| <= 0.02, treat = d >= 0 on gov_transfers (the file pinned at sha256 51312ecd5b3cb22b5dc027966a81e0a8579f24a708ce4b476674fc527652ebd0, after its 1 declared transforms); n_obs = 1948, n_left = 821, n_right = 1127. The tool infer.rdd (magi_infer, numpy) does not call statsmodels. Note: the strict rule (|d| < h, treated when d > 0) selects the same rows and treatment. Written by scripts/paper_repro_reference.py.
- Implementação
- independente da ferramenta
- Endereço
https://pypi.org/project/statsmodels/0.15.0/
- #10 figura da resposta próxima: 0,0928553
0.09285534103880216· relativa 0.000001 · absoluta 4.363357378599472e-8 - #11 figura da resposta próxima: 0,0436336
0.04363357378599472· relativa 0.000001 · absoluta 4.363357378599472e-8
mmv_2011.tab20_1_c1.paper
- Fonte
- Huntington-Klein, N. (2021). The Effect: An Introduction to Research Design and Causality. CRC Press; online edition, chapter 20 (Regression Discontinuity), replicating Manacorda, Miguel and Vigorito (2011), AEJ: Applied 3(3): 1-28.
- Tipo
- textbook
- Localização
- Table 20.1 (The Effect of Government Payments on Support, Regression Discontinuity Estimates), column 'Quadratic', row 'Participation'
- Página
- online edition, chapter 20, Table 20.1
- Trecho
Participation 0.093** (0.044)
- Valor como publicado
0.093- Erro-padrão como publicado
0.044- Valor
- 0,093
0.093(se 0,0440.044) support for the government (0, 0.5, 1) - Conferido por
- fonte primária · Read on 2026-10-15 from the free online edition of The Effect (theeffectbook.net, chapter 20); read_copy_sha256 is the sha256 of the chapter's decompressed HTML as served that day. Table 20.1 is a modelsummary table of the R code printed above it: Support on Income_Centered*Participation plus I(Income_Centered^2)*Participation (column 'Quadratic', all 1,948 households) and Support on Income_Centered*Participation weighted by max(0, 1 - 100|Income_Centered|) (column 'Linear with Kernel Weight', Num.Obs. 937); the table's last rows state 'Std.Errors HC3 HC3'. Data check made before any estimate: Participation equals (Income_Centered <= 0) on every row, no row has Income_Centered exactly 0 or exactly 0.01 in absolute value, every |Income_Centered| is below 0.02, and 937 rows lie strictly within 0.01 of the cutoff (400 above it, 537 below), as the table's Num.Obs.
- sha256 da cópia lida
b6f751cfa056dc32718bdd79f6b25518a6acd9e9923a8fd12ef29ac9342413eb(identifica a cópia lida, não um arquivo canônico)- Desvio conhecido
- convenção de erro-padrãoRecorded before this track's software-reference run and before any dry run, from the printed table: Table 20.1 states that its standard errors are HC3, while infer.rdd computes HC1 (its only unclustered option) and the reference follows the tool's declared HC1. The printed cell is recorded and non-required on T1.
- Endereço
https://theeffectbook.net/ch-RegressionDiscontinuity.html- Licença
- Copyright Nick Huntington-Klein (The Effect, CRC Press); cited, not reproduced.
- #12 figura da resposta próxima: 0,093
0.093· published_cell d=3 · absoluta 0.000500001 - #13 figura da resposta próxima: 0,044
0.044· published_cell d=3 (the SE as printed) · absoluta 0.000500001
Verificações
| # | Verificação | Obrigatória | Resultado | Esperado | Observado | Tolerância | Fonte | Chamada |
|---|---|---|---|---|---|---|---|---|
| 0 | resposta com lastro every number backed | obrigatória | passou | — | [] | — | — | — |
| 1 | figura da resposta escolhida answer figure call_8909e132:effect (infer.rdd) | obrigatória | passou | — | "call_8909e132:effect" | — | — | call_8909e132 |
| 2 | ferramenta chamada answer call is infer.rdd | obrigatória | passou | — | "infer.rdd" | — | — | call_8909e132 |
| 3 | argumento igual infer.rdd.y = 'Support' | obrigatória | passou | "Support" | "Support" | — | — | call_8909e132 |
| 4 | argumento igual infer.rdd.running = 'Income_Below' | obrigatória | passou | "Income_Below" | "Income_Below" | — | — | call_8909e132 |
| 5 | argumento igual infer.rdd.cutoff = 0.0 | obrigatória | passou | 00 | 00 | — | — | call_8909e132 |
| 6 | argumento igual infer.rdd.kernel = 'uniform' | obrigatória | passou | "uniform" | "uniform" | — | — | call_8909e132 |
| 7 | argumento igual infer.rdd.polynomial = 2 | obrigatória | passou | 22 | 22 | — | — | call_8909e132 |
| 8 | diagnóstico 821 vs 821 | obrigatória | passou | 821821 | 821821 | default rel 1e-6 (abs floor 1e-6) | — | call_8909e132 |
| 9 | diagnóstico 1127 vs 1127 | obrigatória | passou | 1.1271127 | 1.1271127 | default rel 1e-6 (abs floor 1e-6) | — | call_8909e132 |
| 10 | figura da resposta próxima 0.09285534104 vs 0.09285534103880216 | obrigatória | passou | 0,09285530.09285534103880216 | 0,09285530.09285534103880423 | relativa 0.000001 · absoluta 4.363357378599472e-8 | mmv_2011.tab20_1_c1.software | call_8909e132 |
| 11 | figura da resposta próxima 0.04363357379 vs 0.04363357378599472 | registrada | passou | 0,04363360.04363357378599472 | 0,04363360.04363357378600273 | relativa 0.000001 · absoluta 4.363357378599472e-8 | mmv_2011.tab20_1_c1.software | call_8909e132 |
| 12 | figura da resposta próxima 0.09285534104 vs 0.093 | registrada | passou | 0,0930.093 | 0,09285530.09285534103880423 | published_cell d=3 · absoluta 0.000500001 | mmv_2011.tab20_1_c1.paper | call_8909e132 |
| 13 | figura da resposta próxima 0.04363357379 vs 0.044 | registrada | passou | 0,0440.044 | 0,04363360.04363357378600273 | published_cell d=3 (the SE as printed) · absoluta 0.000500001 | mmv_2011.tab20_1_c1.paper | call_8909e132 |
Caminho de referência e caminho do agente
A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.
a tarefa T1 do mesmo alvo (paper_repro.mmv_2011.tab20_1_c1.tool)
| Argumento | Referência | Agente | |
|---|---|---|---|
| bandwidth | 0,020.02 | 0,020.02 | igual |
| cluster | — | — | não fixado pela referência |
| cutoff | 00 | 00 | igual |
| dataset | "gov_transfers" | "gov_transfers" | igual |
| kernel | "uniform" | "uniform" | igual |
| level | — | 0,950.95 | não fixado pela referência |
| polynomial | 22 | 22 | igual |
| running | "Income_Below" | "Income_Below" | igual |
| subset | — | — | não fixado pela referência |
| y | "Support" | "Support" | igual |
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
Manacorda, Miguel and Vigorito (2011), on Uruguay's PANES cash transfers, as replicated in Huntington-Klein's 'The Effect', chapter 20, Table 20.1, column 'Quadratic': households qualified for Uruguay's PANES cash transfers when their income measure fell below the eligibility cutoff, so treatment is on the low-income side of the cutoff ('you need low income to get paid'). Estimate, as a sharp regression discontinuity at the cutoff, the effect of receiving the payments on the household's backing for the government: fit a second-order polynomial in income on each side of the cutoff using every household in the extract (all lie within 0.02 of the cutoff), with no kernel weighting. Report the effect of being on the eligible side of the cutoff, with a positive sign meaning more backing among the eligible households.
gov_transfers(agent)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).
file51312ecd5b3cb22b5dc027966a81e0a8579f24a708ce4b476674fc527652ebd0· frame —derive{"args":{"column":"Income_Centered"},"name":"Income_Below","op":"negate"}
- 1Transformação
gov_transfers·derive{"args":{"column":"Income_Centered"},"name":"Income_Below","op":"negate"}1948 → 1948 linhasFrame antes → depois:2600b9da8866→ee25bc867239 - 2Turno do modelo
call_7541f9e1referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelTable 20.1, column 'Quadratic': OLS of support on participation with a quadratic in centred income interacted with participation, on every household of the extract (all lie within 0.02 of the cutoff), unweighted. The treated side is below the cutoff, so the running variable is the declared negation Income_Below and treatment is Income_Below >= 0 (Participation equals that indicator on every row).
Chamadas pedidasinfer.rdd{ "bandwidth": 0.02, "cutoff": 0, "dataset": "gov_transfers", "kernel": "uniform", "polynomial": 2, "running": "Income_Below", "y": "Support" }
- 3Ferramenta
infer.rddv0.1.0call_8909e132decidido pelo modeloreexecutávelMotivo: Table 20.1, column 'Quadratic': OLS of support on participation with a quadratic in centred income interacted with participation, on every household of the extract (all lie within 0.02 of the cutoff), unweighted. The treated side is below the cutoff, so the running variable is the declared negation Income_Below and treatment is Income_Below >= 0 (Participation equals that indicator on every row).
Argumentos
{ "bandwidth": 0.02, "cluster": null, "cutoff": 0, "dataset": "gov_transfers", "kernel": "uniform", "level": 0.95, "polynomial": 2, "running": "Income_Below", "subset": null, "y": "Support" }Figuras call_8909e132 Chave Valor Valor bruto Erro-padrão IC effect Jump in Support at the cutoff of Income_Below0,0928553 0.092855341038804230,0436336 0.043633573786002730,00733511 – 0,178376 Diagnósticosbandwidth= 0,020.02bandwidth_method="user"n_left= 821821n_right= 1.1271127kernel="uniform"polynomial= 22bandwidth_sensitive=truen_obs= 1.9481948se_type="HC1"
Tabelas (1)
{ "sensitivity": [ { "bandwidth": 0.01, "ci_high": 0.09793649228155744, "ci_low": -0.16157308291363565, "estimate": -0.031818295316039094, "multiplier": 0.5, "n_left": 400, "n_right": 537, "se": 0.06620263873269394 }, { "bandwidth": 0.02, "ci_high": 0.17837557417614058, "ci_low": 0.007335107901467866, "estimate": 0.09285534103880423, "multiplier": 1, "n_left": 821, "n_right": 1127, "se": 0.04363357378600273 }, { "bandwidth": 0.04, "ci_high": 0.17837557417614058, "ci_low": 0.007335107901467866, "estimate": 0.09285534103880423, "multiplier": 2, "n_left": 821, "n_right": 1127, "se": 0.04363357378600273 } ] }- Digests dos dados
gov_transfersee25bc8672392d74aa124b1f295a152c7535bd2d306ed08a52b235e4ddbe5113- sha256 do resultado
ec08212c9f06197e2eb4243e543e4536e89b1ea420de1c945ac1d608c0e1d752
- 4Turno do modelo
call_db7f5779referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa (infer.rdd): effect = 0,09286.", "caveats": [], "figure_refs": [ "call_8909e132:effect" ] }
- 5Guardaresposta aceita
- Números encontrados
- 0,09286
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 6Resposta
Estimativa (infer.rdd): effect = 0,09286.
Figuras citadas:call_8909e132:effect· Parada:answeredFigura da resposta:call_8909e132:effect= 0,09285530.09285534103880423(se 0,04363360.04363357378600273) - 7Pontuação#0resposta com lastropassouobrigatória
every number backed - 8Pontuação#1figura da resposta escolhidapassouobrigatória
answer figure call_8909e132:effect (infer.rdd) - 9Pontuação#2ferramenta chamadapassouobrigatória
answer call is infer.rdd - 10Pontuação#3argumento igualpassouobrigatória
infer.rdd.y = 'Support' - 11Pontuação#4argumento igualpassouobrigatória
infer.rdd.running = 'Income_Below' - 12Pontuação#5argumento igualpassouobrigatória
infer.rdd.cutoff = 0.0 - 13Pontuação#6argumento igualpassouobrigatória
infer.rdd.kernel = 'uniform' - 14Pontuação#7argumento igualpassouobrigatória
infer.rdd.polynomial = 2 - 15Pontuação#8diagnósticopassouobrigatória
821 vs 821 - 16Pontuação#9diagnósticopassouobrigatória
1127 vs 1127 - 17Pontuação#10figura da resposta próximapassouobrigatória
0.09285534104 vs 0.09285534103880216 - 18Pontuação#11figura da resposta próximapassouregistrada
0.04363357379 vs 0.04363357378599472 - 19Pontuação#12figura da resposta próximapassouregistrada
0.09285534104 vs 0.093 - 20Pontuação#13figura da resposta próximapassouregistrada
0.04363357379 vs 0.044
Épocas × verificações
| # | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Época 1 | passou | passou | passou | passou | passou | passou | passou | passou | passou | passou | passou | passou | passou | passou |
Tentativas
Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.
- época 1, tentativa 1passoupontuada(exibindo)
Downloads desta tarefa
9c018cea67b789808e2bfe6684bfd9ad24cafeddbefb433a7735d398228a9076O hash de um zip é só de transporte: o que ancora a integridade é o RUN_SHA256SUMS que vai dentro dele, cópia exata do SHA256SUMS da execução.
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