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Tarefa paper_repro.angrist_evans_1998.tab7_c5_weeks.design

paper_reproagentT3designépoca 1, tentativa 1Execução: 20261015T165744Z-suite-paper_repro-scripted-def9df

Veredito

passouPassou em todas as verificações obrigatórias.

Família do método (das chamadas de ferramentas): iv (two-stage least squares)

Pergunta feita ao analista

Do children reduce their mothers' labour supply? Among married women aged 21-35 with two or more children in the 1980 Census, estimate the causal effect of having a third child on the number of weeks the mother worked in the year before the census, using a source of variation in family size that the mother's labour-market prospects do not drive.

Resposta

Estimativa (infer.iv_2sls): coef.morekids = -5,746.

Valores esperados e de onde vêm

angrist_evans_1998.tab7_c5_weeks.software

Fonte
linearmodels 7.0: the reference specification of angrist_evans_1998 tab7_c5_weeks (infer.iv_2sls, figure 'coef.morekids') on an independent code path
Tipo
software
Localização
angrist_evans_1998: Table 7 (OLS and 2SLS estimates of labor-supply models using 1980 Census data), column (5) married women, 2SLS with Same sex as the instrument, row 'Weeks worked'
Valor
-5,74641-5.746409761252153 (se 1,237251.2372527665238475)
Conferido por
execução de software · IV2SLS(dependent=weeksm1, exog=[const, agem1, boy1st, boy2nd, blackm, hispm, othracem], endog=['morekids'], instruments=['samesex']).fit(cov_type='unadjusted', debiased=True) on fertility (the file pinned at sha256 ca9be592b79dddbc2f49ff80f45d0dbe31aac4afb57ff88dec57376c3f3e3452, after its 10 declared transforms); n_obs = 254654. The tool infer.iv_2sls (magi_infer, numpy) does not call linearmodels. Written by scripts/paper_repro_reference.py.
Implementação
independente da ferramenta
Endereço
https://pypi.org/project/linearmodels/7.0/
  • #11 figura da resposta próxima: -5,74641-5.746409761252153 · relativa 0.000001 · absoluta 0.0000012372527665238475
  • #12 figura da resposta próxima: 1,237251.2372527665238475 · relativa 0.000001 · absoluta 0.0000012372527665238475

angrist_evans_1998.tab7_c5_weeks.paper

Fonte
Angrist, J. D. and Evans, W. N. (1998). Children and Their Parents' Labor Supply: Evidence from Exogenous Variation in Family Size. American Economic Review 88(3): 450-477.
Tipo
paper
Localização
Table 7 (OLS and 2SLS estimates of labor-supply models using 1980 Census data), column (5) married women, 2SLS with Same sex as the instrument, row 'Weeks worked'
Página
465
Trecho
Weeks worked −5.40 (1.20)
Valor como publicado
−5.40
Erro-padrão como publicado
1.20
Valor
-5,4-5.4 (se 1,21.2) weeks worked in 1979
Conferido por
fonte primária · Read on 2026-10-15 from the JSTOR copy of the AER article (course copy read through the Internet Archive: https://web.archive.org/web/2023id_/https://www.fsb.miamioh.edu/lij14/411_paper_iv_labor.pdf), from the rendered page image of Table 7 (printed page 465): married women, column (5), 2SLS with Same sex as the instrument, Weeks worked. Notes: other covariates are Age, Age at first birth, Boy 1st, Boy 2nd, Black, Hispanic and Other race. No Wald estimate for married women is printed: Table 5's Wald estimates use the all-women sample (its first stage is Table 6 column (1), not column (4)), which the Fertility file does not hold, so Table 7's 2SLS cell is the married-women weeks-worked target.
sha256 da cópia lida
156590dc0af119e6fc00109c19dc261eacc7f30cff27f3ecb6fb8a42fa9d4ed7 (identifica a cópia lida, não um arquivo canônico)
Desvio conhecido
versão dos dados
Set from the data's provenance before any tool or reference run: Table 7's covariates include the mother's age at first birth, which the AER package's Fertility extract does not carry (its columns are morekids, gender1, gender2, age, afam, hispanic, other and work), so the reference specification omits it and the printed cell is not expected to be reproduced.
Endereço
https://www.jstor.org/stable/116844
Licença
Copyright of the publisher; cited, not reproduced.
  • #13 figura da resposta próxima: -5,4-5.4 · published_cell d=2 · absoluta 0.0050000054
  • #14 figura da resposta próxima: 1,21.2 · published_cell d=2 (the SE as printed) · absoluta 0.0050000012000000005

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_844cd22b:coef.morekids (infer.iv_2sls)
obrigatóriapassou—"call_844cd22b:coef.morekids"——call_844cd22b
2ferramenta chamada
answer call is infer.iv_2sls
obrigatóriapassou—"infer.iv_2sls"——call_844cd22b
3argumento igual
infer.iv_2sls.y = 'weeksm1'
obrigatóriapassou"weeksm1""weeksm1"——call_844cd22b
4argumento igual
infer.iv_2sls.endog[0] = 'morekids'
obrigatóriapassou"morekids""morekids"——call_844cd22b
5argumento igual
infer.iv_2sls.instruments = ['samesex']
obrigatóriapassou["samesex"]["samesex"]——call_844cd22b
6argumento igual
infer.iv_2sls.y = 'weeksm1'
registradapassou"weeksm1""weeksm1"——call_844cd22b
7argumento igual
infer.iv_2sls.endog = ['morekids']
registradapassou["morekids"]["morekids"]——call_844cd22b
8argumento igual
infer.iv_2sls.instruments = ['samesex']
registradapassou["samesex"]["samesex"]——call_844cd22b
9argumento igual
infer.iv_2sls.exog = ['agem1', 'boy1st', 'boy2nd', 'blackm', 'hispm', 'othracem']
registradapassou["agem1","boy1st","boy2nd","blackm","hispm","othracem"]["agem1","boy1st","boy2nd","blackm","hispm","othracem"]——call_844cd22b
10diagnóstico
254654 vs 254654
registradapassou254.654254654254.654254654default rel 1e-6 (abs floor 1e-6)—call_844cd22b
11figura da resposta próxima
-5.746409761 vs -5.746409761252153
registradapassou-5,74641-5.746409761252153-5,74641-5.746409761250555relativa 0.000001 · absoluta 0.0000012372527665238475angrist_evans_1998.tab7_c5_weeks.softwarecall_844cd22b
12figura da resposta próxima
1.237252767 vs 1.2372527665238475
registradapassou1,237251.23725276652384751,237251.2372527665239512relativa 0.000001 · absoluta 0.0000012372527665238475angrist_evans_1998.tab7_c5_weeks.softwarecall_844cd22b
13figura da resposta próxima
-5.746409761 vs -5.4
registradafalhou-5,4-5.4-5,74641-5.746409761250555published_cell d=2 · absoluta 0.0050000054angrist_evans_1998.tab7_c5_weeks.papercall_844cd22b
14figura da resposta próxima
1.237252767 vs 1.2
registradafalhou1,21.21,237251.2372527665239512published_cell d=2 (the SE as printed) · absoluta 0.0050000012000000005angrist_evans_1998.tab7_c5_weeks.papercall_844cd22b

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.angrist_evans_1998.tab7_c5_weeks.tool)

Referência: infer.iv_2slsChamada do agente: infer.iv_2sls (call_844cd22b)igual
Argumentos da referência e do agente
ArgumentoReferênciaAgente
cluster——não fixado pela referência
dataset"fertility""fertility"igual
endog["morekids"]["morekids"]igual
exog["agem1","boy1st","boy2nd","blackm","hispm","othracem"]["agem1","boy1st","boy2nd","blackm","hispm","othracem"]igual
instruments["samesex"]["samesex"]igual
level—0,950.95não fixado pela referência
se"classical""classical"igual
subset——não fixado pela referência
y"weeksm1""weeksm1"igual

Trajetória

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

  1. 0Início

    Do children reduce their mothers' labour supply? Among married women aged 21-35 with two or more children in the 1980 Census, estimate the causal effect of having a third child on the number of weeks the mother worked in the year before the census, using a source of variation in family size that the mother's labour-market prospects do not drive.

    fertility (agent)

    The 1980 Census sample of Angrist and Evans (1998), 'Children and Their Parents' Labor Supply', as distributed in the R package AER (data set Fertility, served by Rdatasets): married women aged 21-35 with two or more children, one row per woman (254,654 rows). Columns: gender1 and gender2, the sex of the first and the second child ('male' or 'female'); boy1st and boy2nd, 1 if the first (second) child is a boy; samesex, 1 if the first two children are of the same sex (two boys or two girls); morekids, 1 if the mother has more than 2 children; agem1, the mother's age in years; blackm, hispm and othracem, 1 if the mother is Black, Hispanic, or of another race (white is the reference); weeksm1, the number of weeks the mother worked in 1979. The file has no age at first birth.

    file ca9be592b79dddbc2f49ff80f45d0dbe31aac4afb57ff88dec57376c3f3e3452 · frame —
    1. derive {"args":{"column":"morekids","default":null,"keep_unmapped":false,"mapping":[{"source":"yes","target":1},{"source":"no","target":0}]},"name":"morekids","op":"map"}
    2. derive {"args":{"column":"afam","default":null,"keep_unmapped":false,"mapping":[{"source":"yes","target":1},{"source":"no","target":0}]},"name":"blackm","op":"map"}
    3. derive {"args":{"column":"hispanic","default":null,"keep_unmapped":false,"mapping":[{"source":"yes","target":1},{"source":"no","target":0}]},"name":"hispm","op":"map"}
    4. derive {"args":{"column":"other","default":null,"keep_unmapped":false,"mapping":[{"source":"yes","target":1},{"source":"no","target":0}]},"name":"othracem","op":"map"}
    5. derive {"args":{"column":"gender1","default":null,"keep_unmapped":false,"mapping":[{"source":"male","target":1},{"source":"female","target":0}]},"name":"boy1st","op":"map"}
    6. derive {"args":{"column":"gender2","default":null,"keep_unmapped":false,"mapping":[{"source":"male","target":1},{"source":"female","target":0}]},"name":"boy2nd","op":"map"}
    7. derive {"args":{"left":"boy1st","right":"boy2nd"},"name":"sex_gap","op":"diff"}
    8. derive {"args":{"cmp":"eq","column":"sex_gap","value":0},"name":"samesex","op":"indicator"}
    9. rename {"map":{"age":"agem1","work":"weeksm1"}}
    10. select {"columns":["gender1","gender2","boy1st","boy2nd","samesex","morekids","agem1","blackm","hispm","othracem","weeksm1"]}
  2. 1Transformação
    fertility · derive {"args":{"column":"morekids","default":null,"keep_unmapped":false,"mapping":[{"source":"yes","target":1},{"source":"no","target":0}]},"name":"morekids","op":"map"}
    254654 → 254654 linhas
    Frame antes → depois: 14e3e85c163d → 5a972366e3e8
  3. 2Transformação
    fertility · derive {"args":{"column":"afam","default":null,"keep_unmapped":false,"mapping":[{"source":"yes","target":1},{"source":"no","target":0}]},"name":"blackm","op":"map"}
    254654 → 254654 linhas
    Frame antes → depois: 5a972366e3e8 → 18ccebde6b6d
  4. 3Transformação
    fertility · derive {"args":{"column":"hispanic","default":null,"keep_unmapped":false,"mapping":[{"source":"yes","target":1},{"source":"no","target":0}]},"name":"hispm","op":"map"}
    254654 → 254654 linhas
    Frame antes → depois: 18ccebde6b6d → 904f43a67031
  5. 4Transformação
    fertility · derive {"args":{"column":"other","default":null,"keep_unmapped":false,"mapping":[{"source":"yes","target":1},{"source":"no","target":0}]},"name":"othracem","op":"map"}
    254654 → 254654 linhas
    Frame antes → depois: 904f43a67031 → 8aaea27cf87b
  6. 5Transformação
    fertility · derive {"args":{"column":"gender1","default":null,"keep_unmapped":false,"mapping":[{"source":"male","target":1},{"source":"female","target":0}]},"name":"boy1st","op":"map"}
    254654 → 254654 linhas
    Frame antes → depois: 8aaea27cf87b → 666ccf9c0cdf
  7. 6Transformação
    fertility · derive {"args":{"column":"gender2","default":null,"keep_unmapped":false,"mapping":[{"source":"male","target":1},{"source":"female","target":0}]},"name":"boy2nd","op":"map"}
    254654 → 254654 linhas
    Frame antes → depois: 666ccf9c0cdf → b2ccbd1a7c9a
  8. 7Transformação
    fertility · derive {"args":{"left":"boy1st","right":"boy2nd"},"name":"sex_gap","op":"diff"}
    254654 → 254654 linhas
    Frame antes → depois: b2ccbd1a7c9a → b25bee20ec5a
  9. 8Transformação
    fertility · derive {"args":{"cmp":"eq","column":"sex_gap","value":0},"name":"samesex","op":"indicator"}
    254654 → 254654 linhas
    Frame antes → depois: b25bee20ec5a → 935084af856b
  10. 9Transformação
    fertility · rename {"map":{"age":"agem1","work":"weeksm1"}}
    254654 → 254654 linhas
    Frame antes → depois: 935084af856b → ccc82e5f5788
  11. 10Transformação
    fertility · select {"columns":["gender1","gender2","boy1st","boy2nd","samesex","morekids","agem1","blackm","hispm","othracem","weeksm1"]}
    254654 → 254654 linhas
    Frame antes → depois: ccc82e5f5788 → c7a28c42496c
  12. 11Turno do modelo
    call_34c9e5b3referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
    Texto visível

    Table 7, column (5): 2SLS of the mother's weeks worked on having more than 2 children, instrumented by the same-sex indicator, with age, boy first, boy second and race indicators (the file has no age at first birth).

    Chamadas pedidas
    • infer.iv_2sls
      {
        "dataset": "fertility",
        "endog": [
          "morekids"
        ],
        "exog": [
          "agem1",
          "boy1st",
          "boy2nd",
          "blackm",
          "hispm",
          "othracem"
        ],
        "instruments": [
          "samesex"
        ],
        "se": "classical",
        "y": "weeksm1"
      }
  13. 12Ferramenta
    infer.iv_2slsv0.1.0call_844cd22bdecidido pelo modeloreexecutável

    Motivo: Table 7, column (5): 2SLS of the mother's weeks worked on having more than 2 children, instrumented by the same-sex indicator, with age, boy first, boy second and race indicators (the file has no age at first birth).

    Argumentos
    {
      "cluster": null,
      "dataset": "fertility",
      "endog": [
        "morekids"
      ],
      "exog": [
        "agem1",
        "boy1st",
        "boy2nd",
        "blackm",
        "hispm",
        "othracem"
      ],
      "instruments": [
        "samesex"
      ],
      "level": 0.95,
      "se": "classical",
      "subset": null,
      "y": "weeksm1"
    }
    Figuras call_844cd22b
    ChaveValorValor brutoErro-padrãoIC
    coef.morekids
    2SLS effect of morekids on weeksm1
    -5,74641 -5.7464097612505551,237251.2372527665239512-8,17139 – -3,32143
    Diagnósticos
    • first_stage_F.morekids = 1.298,941298.942196093575
    • partial_r2.morekids = 0,005075080.0050750844496005865
    • weak_instrument = false
    • n_obs = 254.654254654
    • se_type = "classical"
    • n_clusters = —
    Tabelas (3)
    {
      "coefficients": [
        {
          "ci_high": -3.894651510371974,
          "ci_low": -5.491977005383414,
          "coef": -4.693314257877694,
          "p": 1.0932058054319445e-30,
          "se": 0.4074865444776059,
          "t": -11.51771591352662,
          "term": "Intercept"
        },
        {
          "ci_high": 0.875148243667443,
          "ci_low": 0.7858626101564906,
          "coef": 0.8305054269119668,
          "p": 2.5050309446894502e-290,
          "se": 0.02277725759996795,
          "t": 36.462046550904155,
          "term": "agem1"
        },
        {
          "ci_high": 0.15518801551433226,
          "ci_low": -0.18002344638465373,
          "coef": -0.012417715435160728,
          "p": 0.8845434780405558,
          "se": 0.08551429292595505,
          "t": -0.14521216290606478,
          "term": "boy1st"
        },
        {
          "ci_high": -0.00032404877909639196,
          "ci_low": -0.3349607069276821,
          "coef": -0.16764237785338926,
          "p": 0.04955794736073631,
          "se": 0.08536765731866344,
          "t": -1.9637692203220218,
          "term": "boy2nd"
        },
        {
          "ci_high": 12.062028946268919,
          "ci_low": 11.166822394341962,
          "coef": 11.61442567030544,
          "p": 0,
          "se": 0.2283721292733859,
          "t": 50.85745667502941,
          "term": "blackm"
        },
        {
          "ci_high": 0.8986363842058386,
          "ci_low": -0.11579272307197519,
          "coef": 0.3914218305669317,
          "p": 0.13040077454447038,
          "se": 0.258786460764015,
          "t": 1.512528242054617,
          "term": "hispm"
        },
        {
          "ci_high": 2.5330211340198474,
          "ci_low": 1.7261705227176998,
          "coef": 2.1295958283687737,
          "p": 4.40078106016244e-25,
          "se": 0.2058320414567736,
          "t": 10.346279487375176,
          "term": "othracem"
        },
        {
          "ci_high": -3.321427372843427,
          "ci_low": -8.171392149657683,
          "coef": -5.746409761250555,
          "p": 0.0000034108531610220233,
          "se": 1.2372527665239512,
          "t": -4.64449134140555,
          "term": "morekids"
        }
      ],
      "first_stage": [
        {
          "ci_high": 0.0722833255575446,
          "ci_low": 0.06482699115994814,
          "coef": 0.06855515835874637,
          "endog": "morekids",
          "instrument": "samesex",
          "p": 1.0026728179589989e-283,
          "se": 0.0019021520332800665,
          "t": 36.040840668519024
        }
      ],
      "reduced_form": [
        {
          "ci_high": -0.2260938175644005,
          "ci_low": -0.5617982447890114,
          "coef": -0.39394603117670596,
          "instrument": "samesex",
          "p": 0.000004226513983905047,
          "se": 0.08564005109967326,
          "t": -4.600020972876427
        }
      ]
    }
    Digests dos dados
    fertility c7a28c42496c51fa4ea223123cad6242aaa393634242d66e383c351dd0f471ef
    sha256 do resultado
    3543ef2caf619bd3d0249a98a860e355d4523d1b484fcca494123c8692ca2462
  14. 13Turno do modelo
    call_642b06a8referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
    Chamadas pedidas
    • submit_answer (meta-ferramenta)
      {
        "answer": "Estimativa (infer.iv_2sls): coef.morekids = -5,746.",
        "caveats": [],
        "figure_refs": [
          "call_844cd22b:coef.morekids"
        ]
      }
  15. 14Guarda
    resposta aceita
    Números encontrados
    -5,746
    Sem lastro
    —
    Não citados
    —
    1 nova(s) tentativa(s) restante(s)
  16. 15Resposta

    Estimativa (infer.iv_2sls): coef.morekids = -5,746.

    Figuras citadas: call_844cd22b:coef.morekids · Parada: answered
    Figura da resposta: call_844cd22b:coef.morekids = -5,74641-5.746409761250555 (se 1,237251.2372527665239512)
  17. 16Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
  18. 17Pontuação
    #1figura da resposta escolhidapassouobrigatóriaanswer figure call_844cd22b:coef.morekids (infer.iv_2sls)
  19. 18Pontuação
    #2ferramenta chamadapassouobrigatóriaanswer call is infer.iv_2sls
  20. 19Pontuação
    #3argumento igualpassouobrigatóriainfer.iv_2sls.y = 'weeksm1'
  21. 20Pontuação
    #4argumento igualpassouobrigatóriainfer.iv_2sls.endog[0] = 'morekids'
  22. 21Pontuação
    #5argumento igualpassouobrigatóriainfer.iv_2sls.instruments = ['samesex']
  23. 22Pontuação
    #6argumento igualpassouregistradainfer.iv_2sls.y = 'weeksm1'
  24. 23Pontuação
    #7argumento igualpassouregistradainfer.iv_2sls.endog = ['morekids']
  25. 24Pontuação
    #8argumento igualpassouregistradainfer.iv_2sls.instruments = ['samesex']
  26. 25Pontuação
    #9argumento igualpassouregistradainfer.iv_2sls.exog = ['agem1', 'boy1st', 'boy2nd', 'blackm', 'hispm', 'othracem']
  27. 26Pontuação
    #10diagnósticopassouregistrada254654 vs 254654
  28. 27Pontuação
    #11figura da resposta próximapassouregistrada-5.746409761 vs -5.746409761252153
  29. 28Pontuação
    #12figura da resposta próximapassouregistrada1.237252767 vs 1.2372527665238475
  30. 29Pontuação
    #13figura da resposta próximafalhouregistrada-5.746409761 vs -5.4
  31. 30Pontuação
    #14figura da resposta próximafalhouregistrada1.237252767 vs 1.2

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