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Tarefa paper_repro.fujiwara_2015.tab2_pb_valid94_c2.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 (2): estimate the jump in valid votes as a share of turnout in the 1994 state legislature elections, when every municipality still voted on paper ballots 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 1994 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 10,000 registered voters, and heteroskedasticity-robust standard errors. Report the jump at the threshold.

Resposta

Estimativa (infer.rdd): effect = -0,007703.

Valores esperados e de onde vêm

fujiwara_2015.tab2_pb_valid94_c2.software

Fonte
statsmodels 0.15.0: the reference specification of fujiwara_2015 tab2_pb_valid94_c2 (infer.rdd, figure 'effect') on an independent code path
Tipo
software
Localização
fujiwara_2015: Table II, Panel B (placebo tests), row 'Valid Votes/Turnout (1994 Election)', column (2), bandwidth 10,000
Valor
-0,00770347-0.007703474073156483 (se 0,02349470.023494712404621705)
Conferido por
execução de software · sm.OLS(r_util94, [const, treat, d·(1-treat), d·treat]).fit(cov_type='HC1') with d = voters96 - 40500, rows |d| <= 10000, treat = d >= 0 on munic (munic.dta of the file pinned at sha256 5cd5b8796355e025807dc303263b1fbb16f442c3c7551f14ee3557768a310894); n_obs = 4809, n_left = 151, n_right = 78. 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: -0,00770347-0.007703474073156483 · relativa 0.000001 · absoluta 2.3494712404621704e-8
  • #12 figura da resposta próxima: 0,02349470.023494712404621705 · relativa 0.000001 · absoluta 2.3494712404621704e-8

fujiwara_2015.tab2_pb_valid94_c2.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 (1994 Election)', column (2), bandwidth 10,000, linear
Página
436
Trecho
Valid Votes/Turnout (1994 Election) −0.008 (0.023)
Valor como publicado
−0.008
Erro-padrão como publicado
0.023
Valor
-0,008-0.008 (se 0,0230.023) 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: 229.
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: -0,008-0.008 · published_cell d=3 · absoluta 0.000500001
  • #14 figura da resposta próxima: 0,0230.023 · 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_8b1fd0c0:effect (infer.rdd)
obrigatóriapassou—"call_8b1fd0c0:effect"——call_8b1fd0c0
2ferramenta chamada
answer call is infer.rdd
obrigatóriapassou—"infer.rdd"——call_8b1fd0c0
3argumento igual
infer.rdd.y = 'r_util94'
obrigatóriapassou"r_util94""r_util94"——call_8b1fd0c0
4argumento igual
infer.rdd.running = 'voters96'
obrigatóriapassou"voters96""voters96"——call_8b1fd0c0
5argumento igual
infer.rdd.cutoff = 40500.0
obrigatóriapassou40.5004050040.50040500——call_8b1fd0c0
6argumento igual
infer.rdd.bandwidth = 10000.0
obrigatóriapassou10.0001000010.00010000——call_8b1fd0c0
7argumento igual
infer.rdd.kernel = 'uniform'
obrigatóriapassou"uniform""uniform"——call_8b1fd0c0
8argumento igual
infer.rdd.polynomial = 1
obrigatóriapassou1111——call_8b1fd0c0
9diagnóstico
151 vs 151
obrigatóriapassou151151151151default rel 1e-6 (abs floor 1e-6)—call_8b1fd0c0
10diagnóstico
78 vs 78
obrigatóriapassou78787878default rel 1e-6 (abs floor 1e-6)—call_8b1fd0c0
11figura da resposta próxima
-0.007703474073 vs -0.007703474073156483
obrigatóriapassou-0,00770347-0.007703474073156483-0,00770347-0.007703474073160969relativa 0.000001 · absoluta 2.3494712404621704e-8fujiwara_2015.tab2_pb_valid94_c2.softwarecall_8b1fd0c0
12figura da resposta próxima
0.0234947124 vs 0.023494712404621705
obrigatóriapassou0,02349470.0234947124046217050,02349470.02349471240463436relativa 0.000001 · absoluta 2.3494712404621704e-8fujiwara_2015.tab2_pb_valid94_c2.softwarecall_8b1fd0c0
13figura da resposta próxima
-0.007703474073 vs -0.008
registradapassou-0,008-0.008-0,00770347-0.007703474073160969published_cell d=3 · absoluta 0.000500001fujiwara_2015.tab2_pb_valid94_c2.papercall_8b1fd0c0
14figura da resposta próxima
0.0234947124 vs 0.023
registradapassou0,0230.0230,02349470.02349471240463436published_cell d=3 (the SE as printed) · absoluta 0.000500001fujiwara_2015.tab2_pb_valid94_c2.papercall_8b1fd0c0

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_valid94_c2.tool)

Referência: infer.rddChamada do agente: infer.rdd (call_8b1fd0c0)igual
Argumentos da referência e do agente
ArgumentoReferênciaAgente
bandwidth10.0001000010.00010000igual
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_util94""r_util94"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 (2): estimate the jump in valid votes as a share of turnout in the 1994 state legislature elections, when every municipality still voted on paper ballots 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 1994 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 10,000 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_5a9fecf4referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
    Texto visível

    Table II, Panel B (placebo tests), column (2): local linear RD at 40,500 voters, rectangular kernel, bandwidth 10,000, robust errors (munic.do: reg y treat dep deptreat if bw<h, rob).

    Chamadas pedidas
    • infer.rdd
      {
        "bandwidth": 10000,
        "cutoff": 40500,
        "dataset": "munic",
        "kernel": "uniform",
        "polynomial": 1,
        "running": "voters96",
        "y": "r_util94"
      }
  3. 2Ferramenta
    infer.rddv0.1.0call_8b1fd0c0decidido pelo modeloreexecutável

    Motivo: Table II, Panel B (placebo tests), column (2): local linear RD at 40,500 voters, rectangular kernel, bandwidth 10,000, robust errors (munic.do: reg y treat dep deptreat if bw<h, rob).

    Argumentos
    {
      "bandwidth": 10000,
      "cluster": null,
      "cutoff": 40500,
      "dataset": "munic",
      "kernel": "uniform",
      "level": 0.95,
      "polynomial": 1,
      "running": "voters96",
      "subset": null,
      "y": "r_util94"
    }
    Figuras call_8b1fd0c0
    ChaveValorValor brutoErro-padrãoIC
    effect
    Jump in r_util94 at the cutoff of voters96
    -0,00770347 -0.0077034740731609690,02349470.02349471240463436-0,0537523 – 0,0383453
    Diagnósticos
    • bandwidth = 10.00010000
    • bandwidth_method = "user"
    • n_left = 151151
    • n_right = 7878
    • kernel = "uniform"
    • polynomial = 11
    • bandwidth_sensitive = false
    • n_obs = 4.8094809
    • se_type = "HC1"
    Tabelas (1)
    {
      "sensitivity": [
        {
          "bandwidth": 5000,
          "ci_high": 0.0706310014731179,
          "ci_low": -0.05789063390782301,
          "estimate": 0.006370183782647448,
          "multiplier": 0.5,
          "n_left": 75,
          "n_right": 41,
          "se": 0.03278673393865989
        },
        {
          "bandwidth": 10000,
          "ci_high": 0.03834531606704883,
          "ci_low": -0.05375226421337077,
          "estimate": -0.007703474073160969,
          "multiplier": 1,
          "n_left": 151,
          "n_right": 78,
          "se": 0.02349471240463436
        },
        {
          "bandwidth": 20000,
          "ci_high": 0.028315478835965614,
          "ci_low": -0.040398534118288594,
          "estimate": -0.006041527641161491,
          "multiplier": 2,
          "n_left": 427,
          "n_right": 130,
          "se": 0.01752940704427775
        }
      ]
    }
    • 472 rows were dropped because one of 'r_util94', 'voters96' was missing
    Digests dos dados
    munic 4849fb53b02d5e1e529b6e802d6e90e871843cf5f89da8ad229cd022bbd01f2e
    sha256 do resultado
    81bf0248f23cce719b1937f8ca878d89a1f2bb4939c0b5657c4f3fd4b43b4990
  4. 3Turno do modelo
    call_65ffa4d0referenceFim: 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 = -0,007703.",
        "caveats": [],
        "figure_refs": [
          "call_8b1fd0c0:effect"
        ]
      }
  5. 4Guarda
    resposta aceita
    Números encontrados
    -0,007703
    Sem lastro
    —
    Não citados
    —
    1 nova(s) tentativa(s) restante(s)
  6. 5Resposta

    Estimativa (infer.rdd): effect = -0,007703.

    Figuras citadas: call_8b1fd0c0:effect · Parada: answered
    Figura da resposta: call_8b1fd0c0:effect = -0,00770347-0.007703474073160969 (se 0,02349470.02349471240463436)
  7. 6Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
  8. 7Pontuação
    #1figura da resposta escolhidapassouobrigatóriaanswer figure call_8b1fd0c0:effect (infer.rdd)
  9. 8Pontuação
    #2ferramenta chamadapassouobrigatóriaanswer call is infer.rdd
  10. 9Pontuação
    #3argumento igualpassouobrigatóriainfer.rdd.y = 'r_util94'
  11. 10Pontuação
    #4argumento igualpassouobrigatóriainfer.rdd.running = 'voters96'
  12. 11Pontuação
    #5argumento igualpassouobrigatóriainfer.rdd.cutoff = 40500.0
  13. 12Pontuação
    #6argumento igualpassouobrigatóriainfer.rdd.bandwidth = 10000.0
  14. 13Pontuação
    #7argumento igualpassouobrigatóriainfer.rdd.kernel = 'uniform'
  15. 14Pontuação
    #8argumento igualpassouobrigatóriainfer.rdd.polynomial = 1
  16. 15Pontuação
    #9diagnósticopassouobrigatória151 vs 151
  17. 16Pontuação
    #10diagnósticopassouobrigatória78 vs 78
  18. 17Pontuação
    #11figura da resposta próximapassouobrigatória-0.007703474073 vs -0.007703474073156483
  19. 18Pontuação
    #12figura da resposta próximapassouobrigatória0.0234947124 vs 0.023494712404621705
  20. 19Pontuação
    #13figura da resposta próximapassouregistrada-0.007703474073 vs -0.008
  21. 20Pontuação
    #14figura da resposta próximapassouregistrada0.0234947124 vs 0.023

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