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Tarefa paper_repro.fujiwara_2015.tab2_pb_valid02_c3.agent

paper_reproagentT2publicépoca 1, tentativa 1Execução: 20261015T165744Z-suite-paper_repro-scripted-def9df

Veredito

passouPassou em todas as verificações obrigatórias.

Família do método (das chamadas de ferramentas): rd (regression discontinuity)

Pergunta feita ao analista

Fujiwara, T. (2015), 'Voting Technology, Political Responsiveness, and Infant Health: Evidence from Brazil', Table II, Panel B (placebo tests), column (3): estimate the jump in valid votes as a share of turnout in the 2002 state legislature elections, when every municipality voted electronically at the threshold of 40,500 registered voters in 1996, above which municipalities voted electronically in the 1998 elections, as a sharp regression discontinuity. This is a placebo: the 2002 election had no discontinuous assignment. Use a local linear regression on each side of the threshold with a rectangular kernel (unweighted observations), a bandwidth of 5,000 registered voters, and heteroskedasticity-robust standard errors. Report the jump at the threshold.

Resposta

Estimativa (infer.rdd): effect = 0,008776.

Valores esperados e de onde vêm

fujiwara_2015.tab2_pb_valid02_c3.software

Fonte
statsmodels 0.15.0: the reference specification of fujiwara_2015 tab2_pb_valid02_c3 (infer.rdd, figure 'effect') on an independent code path
Tipo
software
Localização
fujiwara_2015: Table II, Panel B (placebo tests), row 'Valid Votes/Turnout (2002 Election)', column (3), bandwidth 5,000
Valor
0,008775870.008775869231919198 (se 0,009675660.009675663405398726)
Conferido por
execução de software · sm.OLS(r_util02, [const, treat, d·(1-treat), d·treat]).fit(cov_type='HC1') with d = voters96 - 40500, rows |d| <= 5000, treat = d >= 0 on munic (munic.dta of the file pinned at sha256 5cd5b8796355e025807dc303263b1fbb16f442c3c7551f14ee3557768a310894); n_obs = 5281, n_left = 75, n_right = 41. 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/
  • #11 figura da resposta próxima: 0,008775870.008775869231919198 · relativa 0.000001 · absoluta 9.675663405398725e-9
  • #12 figura da resposta próxima: 0,009675660.009675663405398726 · relativa 0.000001 · absoluta 9.675663405398725e-9

fujiwara_2015.tab2_pb_valid02_c3.paper

Fonte
Fujiwara, T. (2015). Voting Technology, Political Responsiveness, and Infant Health: Evidence From Brazil. Econometrica 83(2): 423-464.
Tipo
paper
Localização
Table II (treatment effects of electronic voting), Panel B (placebo tests), row 'Valid Votes/Turnout (2002 Election)', column (3), bandwidth 5000, linear
Página
436
Trecho
Valid Votes/Turnout (2002 Election) 0.009 (0.010)
Valor como publicado
0.009
Erro-padrão como publicado
0.010
Valor
0,0090.009 (se 0,010.01) share of turnout (valid votes / turnout)
Conferido por
fonte primária · Read on 2026-10-15 from the published Econometrica version on the author's Princeton page (43-page PDF; Table II on PDF page 15) from the rendered page image; pdftotext drops this PDF's decimal-point glyph. Table II notes: robust standard errors; each cell a separate local linear regression. Data check made before any estimate: voters96 is integer-valued, no municipality has exactly 40,500 voters and none sits on a bandwidth edge, so munic.do's strict inequalities (treat if dep>0, bw<h) select the rows the tool's (running >= cutoff, |running - cutoff| <= h) select. N row: 116.
sha256 da cópia lida
e2d693b96b22ea0dec46893e9b1f1a3a5399a23d844bcd0ec58e9e1c410a0600 (identifica a cópia lida, não um arquivo canônico)
Endereço
https://www.princeton.edu/~fujiwara/papers/elecvote_site.pdf
Licença
Copyright The Econometric Society; cited, not reproduced.
  • #13 figura da resposta próxima: 0,0090.009 · published_cell d=3 · absoluta 0.000500001
  • #14 figura da resposta próxima: 0,010.01 · published_cell d=3 (the SE as printed) · absoluta 0.000500001

Verificações

Cada verificação, o que esperava, o que observou e a chamada que leu
#VerificaçãoObrigatóriaResultadoEsperadoObservadoTolerânciaFonteChamada
0resposta com lastro
every number backed
obrigatóriapassou—[]———
1figura da resposta escolhida
answer figure call_de42747f:effect (infer.rdd)
obrigatóriapassou—"call_de42747f:effect"——call_de42747f
2ferramenta chamada
answer call is infer.rdd
obrigatóriapassou—"infer.rdd"——call_de42747f
3argumento igual
infer.rdd.y = 'r_util02'
obrigatóriapassou"r_util02""r_util02"——call_de42747f
4argumento igual
infer.rdd.running = 'voters96'
obrigatóriapassou"voters96""voters96"——call_de42747f
5argumento igual
infer.rdd.cutoff = 40500.0
obrigatóriapassou40.5004050040.50040500——call_de42747f
6argumento igual
infer.rdd.bandwidth = 5000.0
obrigatóriapassou5.00050005.0005000——call_de42747f
7argumento igual
infer.rdd.kernel = 'uniform'
obrigatóriapassou"uniform""uniform"——call_de42747f
8argumento igual
infer.rdd.polynomial = 1
obrigatóriapassou1111——call_de42747f
9diagnóstico
75 vs 75
obrigatóriapassou75757575default rel 1e-6 (abs floor 1e-6)—call_de42747f
10diagnóstico
41 vs 41
obrigatóriapassou41414141default rel 1e-6 (abs floor 1e-6)—call_de42747f
11figura da resposta próxima
0.008775869232 vs 0.008775869231919198
obrigatóriapassou0,008775870.0087758692319191980,008775870.008775869231923777relativa 0.000001 · absoluta 9.675663405398725e-9fujiwara_2015.tab2_pb_valid02_c3.softwarecall_de42747f
12figura da resposta próxima
0.009675663405 vs 0.009675663405398726
obrigatóriapassou0,009675660.0096756634053987260,009675660.009675663405402189relativa 0.000001 · absoluta 9.675663405398725e-9fujiwara_2015.tab2_pb_valid02_c3.softwarecall_de42747f
13figura da resposta próxima
0.008775869232 vs 0.009
registradapassou0,0090.0090,008775870.008775869231923777published_cell d=3 · absoluta 0.000500001fujiwara_2015.tab2_pb_valid02_c3.papercall_de42747f
14figura da resposta próxima
0.009675663405 vs 0.01
registradapassou0,010.010,009675660.009675663405402189published_cell d=3 (the SE as printed) · absoluta 0.000500001fujiwara_2015.tab2_pb_valid02_c3.papercall_de42747f

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.fujiwara_2015.tab2_pb_valid02_c3.tool)

Referência: infer.rddChamada do agente: infer.rdd (call_de42747f)igual
Argumentos da referência e do agente
ArgumentoReferênciaAgente
bandwidth5.00050005.0005000igual
cluster——não fixado pela referência
cutoff40.5004050040.50040500igual
dataset"munic""munic"igual
kernel"uniform""uniform"igual
level—0,950.95não fixado pela referência
polynomial1111igual
running"voters96""voters96"igual
subset——não fixado pela referência
y"r_util02""r_util02"igual

Trajetória

Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.

  1. 0Início

    Fujiwara, T. (2015), 'Voting Technology, Political Responsiveness, and Infant Health: Evidence from Brazil', Table II, Panel B (placebo tests), column (3): estimate the jump in valid votes as a share of turnout in the 2002 state legislature elections, when every municipality voted electronically at the threshold of 40,500 registered voters in 1996, above which municipalities voted electronically in the 1998 elections, as a sharp regression discontinuity. This is a placebo: the 2002 election had no discontinuous assignment. Use a local linear regression on each side of the threshold with a rectangular kernel (unweighted observations), a bandwidth of 5,000 registered voters, and heteroskedasticity-robust standard errors. Report the jump at the threshold.

    munic (agent)

    The author's municipality file for Fujiwara (2015), 'Voting Technology, Political Responsiveness, and Infant Health: Evidence from Brazil': one row per Brazilian municipality (5,281 rows). In the 1998 elections, municipalities with more than 40,500 registered voters in 1996 used electronic voting and the others paper ballots; in 1994 every municipality used paper ballots and in 2002 every one voted electronically. Columns: uf, state; voters96, number of registered voters in 1996; r_util98, r_util94, r_util02, valid votes as a share of turnout in the state legislature elections of 1998, 1994 and 2002; attend, turnout as a share of registered voters (1998); regist, registered voters as a share of population (1998); null_est_share and blank_est_share, null and blank votes as a share of turnout (state legislature, 1998); util_pres_share, util_gov_share, util_fed_share, util_sen_share, valid votes as a share of turnout in the presidential, gubernatorial, federal lower chamber and senate elections (1998); right, vote-weighted party ideology; right_meas, votes for parties with measured ideology over total valid votes; right_state, state average of right; illiter, illiteracy rate (percent); less4 and less8, shares without 4 and without 8 years of schooling; gini, Gini index; income, monthly income; latitude; longitude; urbanization, share of urban population; population91 and population00, population in 1991 and 2000 (thousands). The schooling, income, inequality and urbanization variables come from the 1991 census.

    file 5cd5b8796355e025807dc303263b1fbb16f442c3c7551f14ee3557768a310894 · frame —
  2. 1Turno do modelo
    call_3454fd13referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
    Texto visível

    Table II, Panel B (placebo tests), column (3): local linear RD at 40,500 voters, rectangular kernel, bandwidth 5,000, robust errors (munic.do: reg y treat dep deptreat if bw<h, rob).

    Chamadas pedidas
    • infer.rdd
      {
        "bandwidth": 5000,
        "cutoff": 40500,
        "dataset": "munic",
        "kernel": "uniform",
        "polynomial": 1,
        "running": "voters96",
        "y": "r_util02"
      }
  3. 2Ferramenta
    infer.rddv0.1.0call_de42747fdecidido pelo modeloreexecutável

    Motivo: Table II, Panel B (placebo tests), column (3): local linear RD at 40,500 voters, rectangular kernel, bandwidth 5,000, robust errors (munic.do: reg y treat dep deptreat if bw<h, rob).

    Argumentos
    {
      "bandwidth": 5000,
      "cluster": null,
      "cutoff": 40500,
      "dataset": "munic",
      "kernel": "uniform",
      "level": 0.95,
      "polynomial": 1,
      "running": "voters96",
      "subset": null,
      "y": "r_util02"
    }
    Figuras call_de42747f
    ChaveValorValor brutoErro-padrãoIC
    effect
    Jump in r_util02 at the cutoff of voters96
    0,00877587 0.0087758692319237770,009675660.009675663405402189-0,0101881 – 0,0277398
    Diagnósticos
    • bandwidth = 5.0005000
    • bandwidth_method = "user"
    • n_left = 7575
    • n_right = 4141
    • kernel = "uniform"
    • polynomial = 11
    • bandwidth_sensitive = false
    • n_obs = 5.2815281
    • se_type = "HC1"
    Tabelas (1)
    {
      "sensitivity": [
        {
          "bandwidth": 2500,
          "ci_high": 0.034536574423728136,
          "ci_low": -0.015498242521131338,
          "estimate": 0.009519165951298397,
          "multiplier": 0.5,
          "n_left": 43,
          "n_right": 18,
          "se": 0.012764218460014501
        },
        {
          "bandwidth": 5000,
          "ci_high": 0.02773982103304424,
          "ci_low": -0.010188082569196684,
          "estimate": 0.008775869231923777,
          "multiplier": 1,
          "n_left": 75,
          "n_right": 41,
          "se": 0.009675663405402189
        },
        {
          "bandwidth": 10000,
          "ci_high": 0.020505812849139788,
          "ci_low": -0.004757263923387784,
          "estimate": 0.007874274462876002,
          "multiplier": 2,
          "n_left": 151,
          "n_right": 78,
          "se": 0.006444780866332111
        }
      ]
    }
    Digests dos dados
    munic 4849fb53b02d5e1e529b6e802d6e90e871843cf5f89da8ad229cd022bbd01f2e
    sha256 do resultado
    4b197971b22822a79aec6076bb0b3d868ad371c8d0a79e8b0b9e99e8a5f35b0f
  4. 3Turno do modelo
    call_a234bf68referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
    Chamadas pedidas
    • submit_answer (meta-ferramenta)
      {
        "answer": "Estimativa (infer.rdd): effect = 0,008776.",
        "caveats": [],
        "figure_refs": [
          "call_de42747f:effect"
        ]
      }
  5. 4Guarda
    resposta aceita
    Números encontrados
    0,008776
    Sem lastro
    —
    Não citados
    —
    1 nova(s) tentativa(s) restante(s)
  6. 5Resposta

    Estimativa (infer.rdd): effect = 0,008776.

    Figuras citadas: call_de42747f:effect · Parada: answered
    Figura da resposta: call_de42747f:effect = 0,008775870.008775869231923777 (se 0,009675660.009675663405402189)
  7. 6Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
  8. 7Pontuação
    #1figura da resposta escolhidapassouobrigatóriaanswer figure call_de42747f:effect (infer.rdd)
  9. 8Pontuação
    #2ferramenta chamadapassouobrigatóriaanswer call is infer.rdd
  10. 9Pontuação
    #3argumento igualpassouobrigatóriainfer.rdd.y = 'r_util02'
  11. 10Pontuação
    #4argumento igualpassouobrigatóriainfer.rdd.running = 'voters96'
  12. 11Pontuação
    #5argumento igualpassouobrigatóriainfer.rdd.cutoff = 40500.0
  13. 12Pontuação
    #6argumento igualpassouobrigatóriainfer.rdd.bandwidth = 5000.0
  14. 13Pontuação
    #7argumento igualpassouobrigatóriainfer.rdd.kernel = 'uniform'
  15. 14Pontuação
    #8argumento igualpassouobrigatóriainfer.rdd.polynomial = 1
  16. 15Pontuação
    #9diagnósticopassouobrigatória75 vs 75
  17. 16Pontuação
    #10diagnósticopassouobrigatória41 vs 41
  18. 17Pontuação
    #11figura da resposta próximapassouobrigatória0.008775869232 vs 0.008775869231919198
  19. 18Pontuação
    #12figura da resposta próximapassouobrigatória0.009675663405 vs 0.009675663405398726
  20. 19Pontuação
    #13figura da resposta próximapassouregistrada0.008775869232 vs 0.009
  21. 20Pontuação
    #14figura da resposta próximapassouregistrada0.009675663405 vs 0.01

Épocas × verificações

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Época 1passoupassoupassoupassoupassoupassoupassoupassoupassoupassoupassoupassoupassoupassoupassou

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