Tarefa paper_repro.angrist_krueger_1991.tab5_c2.tool

Veredito

Pergunta feita ao analista

Tarefa de ferramenta: nenhuma pergunta; a especificação de referência é chamada direto.

Valores esperados e de onde vêm

Verificações

Caminho de referência e caminho do agente

A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.

Trajetória

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

1. 0Início

   Tarefa de ferramenta: nenhuma pergunta; a especificação de referência é chamada direto.

   asciiqob (agent)

   Joshua Angrist's minimal extract of the 1980 Census used by Angrist and Krueger (1991), 'Does Compulsory School Attendance Affect Schooling and Earnings?' (asciiqob.txt in asciiqob.zip): one row per man born in the United States in 1930-1939, from the 5 percent public-use sample of the 1980 Census (329,509 rows). Columns: lwklywge, the log of weekly earnings in 1979; educ, years of education; yob, year of birth (30 for 1930 to 39 for 1939); qob, quarter of birth (1 to 4); pob, state of birth (census code). Added by the declared transforms: yob_30 to yob_39, one indicator per year of birth; qtr_1 to qtr_4, one indicator per quarter of birth; and qtr1_yob30 to qtr3_yob39, thirty columns, each the product of the indicator for quarter of birth 1, 2 or 3 and the indicator for one year of birth (qtr2_yob35 is 1 for men born in the second quarter of 1935).

   file 0b6c505e52fd6c9f6194c356c91688acf2f8937b5023a84e754e942c9a2f2dcc · frame —

   1. dummies {"column":"yob","drop_first":false,"prefix":"yob"}
   2. dummies {"column":"qob","drop_first":false,"prefix":"qtr"}
   3. derive {"args":{"columns":["qtr_1","yob_30"]},"name":"qtr1_yob30","op":"interaction"}
   4. derive {"args":{"columns":["qtr_1","yob_31"]},"name":"qtr1_yob31","op":"interaction"}
   5. derive {"args":{"columns":["qtr_1","yob_32"]},"name":"qtr1_yob32","op":"interaction"}
   6. derive {"args":{"columns":["qtr_1","yob_33"]},"name":"qtr1_yob33","op":"interaction"}
   7. derive {"args":{"columns":["qtr_1","yob_34"]},"name":"qtr1_yob34","op":"interaction"}
   8. derive {"args":{"columns":["qtr_1","yob_35"]},"name":"qtr1_yob35","op":"interaction"}
   9. derive {"args":{"columns":["qtr_1","yob_36"]},"name":"qtr1_yob36","op":"interaction"}
   10. derive {"args":{"columns":["qtr_1","yob_37"]},"name":"qtr1_yob37","op":"interaction"}
   11. derive {"args":{"columns":["qtr_1","yob_38"]},"name":"qtr1_yob38","op":"interaction"}
   12. derive {"args":{"columns":["qtr_1","yob_39"]},"name":"qtr1_yob39","op":"interaction"}
   13. derive {"args":{"columns":["qtr_2","yob_30"]},"name":"qtr2_yob30","op":"interaction"}
   14. derive {"args":{"columns":["qtr_2","yob_31"]},"name":"qtr2_yob31","op":"interaction"}
   15. derive {"args":{"columns":["qtr_2","yob_32"]},"name":"qtr2_yob32","op":"interaction"}
   16. derive {"args":{"columns":["qtr_2","yob_33"]},"name":"qtr2_yob33","op":"interaction"}
   17. derive {"args":{"columns":["qtr_2","yob_34"]},"name":"qtr2_yob34","op":"interaction"}
   18. derive {"args":{"columns":["qtr_2","yob_35"]},"name":"qtr2_yob35","op":"interaction"}
   19. derive {"args":{"columns":["qtr_2","yob_36"]},"name":"qtr2_yob36","op":"interaction"}
   20. derive {"args":{"columns":["qtr_2","yob_37"]},"name":"qtr2_yob37","op":"interaction"}
   21. derive {"args":{"columns":["qtr_2","yob_38"]},"name":"qtr2_yob38","op":"interaction"}
   22. derive {"args":{"columns":["qtr_2","yob_39"]},"name":"qtr2_yob39","op":"interaction"}
   23. derive {"args":{"columns":["qtr_3","yob_30"]},"name":"qtr3_yob30","op":"interaction"}
   24. derive {"args":{"columns":["qtr_3","yob_31"]},"name":"qtr3_yob31","op":"interaction"}
   25. derive {"args":{"columns":["qtr_3","yob_32"]},"name":"qtr3_yob32","op":"interaction"}
   26. derive {"args":{"columns":["qtr_3","yob_33"]},"name":"qtr3_yob33","op":"interaction"}
   27. derive {"args":{"columns":["qtr_3","yob_34"]},"name":"qtr3_yob34","op":"interaction"}
   28. derive {"args":{"columns":["qtr_3","yob_35"]},"name":"qtr3_yob35","op":"interaction"}
   29. derive {"args":{"columns":["qtr_3","yob_36"]},"name":"qtr3_yob36","op":"interaction"}
   30. derive {"args":{"columns":["qtr_3","yob_37"]},"name":"qtr3_yob37","op":"interaction"}
   31. derive {"args":{"columns":["qtr_3","yob_38"]},"name":"qtr3_yob38","op":"interaction"}
   32. derive {"args":{"columns":["qtr_3","yob_39"]},"name":"qtr3_yob39","op":"interaction"}
2. 1Transformação
   asciiqob · dummies {"column":"yob","drop_first":false,"prefix":"yob"}

   329509 → 329509 linhas

   Frame antes → depois: 845a36d4dcec → d4b277b4997b
3. 2Transformação
   asciiqob · dummies {"column":"qob","drop_first":false,"prefix":"qtr"}

   329509 → 329509 linhas

   Frame antes → depois: d4b277b4997b → 2c53c053bf00
4. 3Transformação
   asciiqob · derive {"args":{"columns":["qtr_1","yob_30"]},"name":"qtr1_yob30","op":"interaction"}

   329509 → 329509 linhas

   Frame antes → depois: 2c53c053bf00 → cf52bf944241
5. 4Transformação
   asciiqob · derive {"args":{"columns":["qtr_1","yob_31"]},"name":"qtr1_yob31","op":"interaction"}

   329509 → 329509 linhas

   Frame antes → depois: cf52bf944241 → c572825a7957
6. 5Transformação
   asciiqob · derive {"args":{"columns":["qtr_1","yob_32"]},"name":"qtr1_yob32","op":"interaction"}

   329509 → 329509 linhas

   Frame antes → depois: c572825a7957 → f423f0515e53
7. 6Transformação
   asciiqob · derive {"args":{"columns":["qtr_1","yob_33"]},"name":"qtr1_yob33","op":"interaction"}

   329509 → 329509 linhas

   Frame antes → depois: f423f0515e53 → 53a56d68c9d1
8. 7Transformação
   asciiqob · derive {"args":{"columns":["qtr_1","yob_34"]},"name":"qtr1_yob34","op":"interaction"}

   329509 → 329509 linhas

   Frame antes → depois: 53a56d68c9d1 → 4a3cff9083bb
9. 8Transformação
   asciiqob · derive {"args":{"columns":["qtr_1","yob_35"]},"name":"qtr1_yob35","op":"interaction"}

   329509 → 329509 linhas

   Frame antes → depois: 4a3cff9083bb → 373b8fd4038e
10. 9Transformação
    asciiqob · derive {"args":{"columns":["qtr_1","yob_36"]},"name":"qtr1_yob36","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 373b8fd4038e → e7e4772d7f72
11. 10Transformação
    asciiqob · derive {"args":{"columns":["qtr_1","yob_37"]},"name":"qtr1_yob37","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: e7e4772d7f72 → 493704cb4202
12. 11Transformação
    asciiqob · derive {"args":{"columns":["qtr_1","yob_38"]},"name":"qtr1_yob38","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 493704cb4202 → 459fa0f19579
13. 12Transformação
    asciiqob · derive {"args":{"columns":["qtr_1","yob_39"]},"name":"qtr1_yob39","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 459fa0f19579 → 85c2fdc43e1d
14. 13Transformação
    asciiqob · derive {"args":{"columns":["qtr_2","yob_30"]},"name":"qtr2_yob30","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 85c2fdc43e1d → 221b8d8c4186
15. 14Transformação
    asciiqob · derive {"args":{"columns":["qtr_2","yob_31"]},"name":"qtr2_yob31","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 221b8d8c4186 → 318603958de3
16. 15Transformação
    asciiqob · derive {"args":{"columns":["qtr_2","yob_32"]},"name":"qtr2_yob32","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 318603958de3 → 069525d0a1fe
17. 16Transformação
    asciiqob · derive {"args":{"columns":["qtr_2","yob_33"]},"name":"qtr2_yob33","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 069525d0a1fe → 64ef72351a15
18. 17Transformação
    asciiqob · derive {"args":{"columns":["qtr_2","yob_34"]},"name":"qtr2_yob34","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 64ef72351a15 → 0c272ae20586
19. 18Transformação
    asciiqob · derive {"args":{"columns":["qtr_2","yob_35"]},"name":"qtr2_yob35","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 0c272ae20586 → 7856b1936015
20. 19Transformação
    asciiqob · derive {"args":{"columns":["qtr_2","yob_36"]},"name":"qtr2_yob36","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 7856b1936015 → 06252be82053
21. 20Transformação
    asciiqob · derive {"args":{"columns":["qtr_2","yob_37"]},"name":"qtr2_yob37","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 06252be82053 → 4a442f63e865
22. 21Transformação
    asciiqob · derive {"args":{"columns":["qtr_2","yob_38"]},"name":"qtr2_yob38","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 4a442f63e865 → 1a895d8e4ad2
23. 22Transformação
    asciiqob · derive {"args":{"columns":["qtr_2","yob_39"]},"name":"qtr2_yob39","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 1a895d8e4ad2 → 7fd62953f64c
24. 23Transformação
    asciiqob · derive {"args":{"columns":["qtr_3","yob_30"]},"name":"qtr3_yob30","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 7fd62953f64c → fbb95e831358
25. 24Transformação
    asciiqob · derive {"args":{"columns":["qtr_3","yob_31"]},"name":"qtr3_yob31","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: fbb95e831358 → 3c39c77165ba
26. 25Transformação
    asciiqob · derive {"args":{"columns":["qtr_3","yob_32"]},"name":"qtr3_yob32","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 3c39c77165ba → 7e4ccc705689
27. 26Transformação
    asciiqob · derive {"args":{"columns":["qtr_3","yob_33"]},"name":"qtr3_yob33","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 7e4ccc705689 → e14e138d365d
28. 27Transformação
    asciiqob · derive {"args":{"columns":["qtr_3","yob_34"]},"name":"qtr3_yob34","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: e14e138d365d → efea1aed1a08
29. 28Transformação
    asciiqob · derive {"args":{"columns":["qtr_3","yob_35"]},"name":"qtr3_yob35","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: efea1aed1a08 → 889c869c49df
30. 29Transformação
    asciiqob · derive {"args":{"columns":["qtr_3","yob_36"]},"name":"qtr3_yob36","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 889c869c49df → 4690bc1fd2a9
31. 30Transformação
    asciiqob · derive {"args":{"columns":["qtr_3","yob_37"]},"name":"qtr3_yob37","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 4690bc1fd2a9 → 73cf0a1d91c6
32. 31Transformação
    asciiqob · derive {"args":{"columns":["qtr_3","yob_38"]},"name":"qtr3_yob38","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: 73cf0a1d91c6 → adbbeec74207
33. 32Transformação
    asciiqob · derive {"args":{"columns":["qtr_3","yob_39"]},"name":"qtr3_yob39","op":"interaction"}

    329509 → 329509 linhas

    Frame antes → depois: adbbeec74207 → 654074d5953a
34. 33Ferramenta
    infer.iv_2slsv0.1.0call_10e2262bdecidido pelo códigoreexecutável

    Argumentos

    {
      "cluster": null,
      "dataset": "asciiqob",
      "endog": [
        "educ"
      ],
      "exog": [
        "yob_30",
        "yob_31",
        "yob_32",
        "yob_33",
        "yob_34",
        "yob_35",
        "yob_36",
        "yob_37",
        "yob_38"
      ],
      "instruments": [
        "qtr1_yob30",
        "qtr1_yob31",
        "qtr1_yob32",
        "qtr1_yob33",
        "qtr1_yob34",
        "qtr1_yob35",
        "qtr1_yob36",
        "qtr1_yob37",
        "qtr1_yob38",
        "qtr1_yob39",
        "qtr2_yob30",
        "qtr2_yob31",
        "qtr2_yob32",
        "qtr2_yob33",
        "qtr2_yob34",
        "qtr2_yob35",
        "qtr2_yob36",
        "qtr2_yob37",
        "qtr2_yob38",
        "qtr2_yob39",
        "qtr3_yob30",
        "qtr3_yob31",
        "qtr3_yob32",
        "qtr3_yob33",
        "qtr3_yob34",
        "qtr3_yob35",
        "qtr3_yob36",
        "qtr3_yob37",
        "qtr3_yob38",
        "qtr3_yob39"
      ],
      "level": 0.95,
      "se": "classical",
      "subset": null,
      "y": "lwklywge"
    }

    Figuras call_10e2262b

    Chave	Valor	Valor bruto	Erro-padrão	IC
    coef.educ 2SLS effect of educ on lwklywge	0,0891155	0.08911545635097498	0,01611010.01611008909296629	0,0575401 – 0,120691

    Diagnósticos

    • first_stage_F.educ = 4,907074.907068900445309
    • partial_r2.educ = 0,0004466170.0004466165850589565
    • weak_instrument = true
    • overid_p = 0,6552610.6552608024512252
    • sargan = 25,439425.439387654762992
    • sargan_df = 2929
    • n_obs = 329.509329509
    • se_type = "classical"
    • n_clusters = —

    Tabelas (3)

    {
      "coefficients": [
        {
          "ci_high": 5.145673344398731,
          "ci_low": 4.322726441555527,
          "coef": 4.734199892977129,
          "p": 1.6197733596808568e-112,
          "se": 0.2099385209000278,
          "t": 22.550410818753665,
          "term": "Intercept"
        },
        {
          "ci_high": 0.0790234823803597,
          "ci_low": 0.03803067580515462,
          "coef": 0.05852707909275716,
          "p": 2.186943635875741e-8,
          "se": 0.010457502361582108,
          "t": 5.5966594191524175,
          "term": "yob_30"
        },
        {
          "ci_high": 0.06653789078443655,
          "ci_low": 0.03275366055223902,
          "coef": 0.049645775668337784,
          "p": 8.402007890648315e-9,
          "se": 0.008618552788994342,
          "t": 5.760337829772777,
          "term": "yob_31"
        },
        {
          "ci_high": 0.05632558371941518,
          "ci_low": 0.0246679027865398,
          "coef": 0.04049674325297749,
          "p": 5.322127727975817e-7,
          "se": 0.008076057747117086,
          "t": 5.014419723216272,
          "term": "yob_32"
        },
        {
          "ci_high": 0.05126430317091755,
          "ci_low": 0.022198787603013116,
          "coef": 0.03673154538696533,
          "p": 7.280376625482111e-7,
          "se": 0.007414781350340894,
          "t": 4.953827179985098,
          "term": "yob_33"
        },
        {
          "ci_high": 0.04647324297768207,
          "ci_low": 0.01900535082607492,
          "coef": 0.0327392969018785,
          "p": 0.0000029807256524072373,
          "se": 0.007007218364425381,
          "t": 4.6722244404557305,
          "term": "yob_34"
        },
        {
          "ci_high": 0.0320379781880583,
          "ci_low": 0.007361278581300101,
          "coef": 0.0196996283846792,
          "p": 0.001752238055046221,
          "se": 0.006295168981423545,
          "t": 3.1293247953805463,
          "term": "yob_35"
        },
        {
          "ci_high": 0.031046993897747763,
          "ci_low": 0.008483832447970862,
          "coef": 0.019765413172859313,
          "p": 0.0005950717820947613,
          "se": 0.0057559931573096966,
          "t": 3.4338840635622825,
          "term": "yob_36"
        },
        {
          "ci_high": 0.024005056575907437,
          "ci_low": 0.0034141737785028346,
          "coef": 0.013709615177205136,
          "p": 0.009056306404146239,
          "se": 0.005252853450906754,
          "t": 2.609936733498355,
          "term": "yob_37"
        },
        {
          "ci_high": 0.021481765608160248,
          "ci_low": 0.0024814511940856217,
          "coef": 0.011981608401122935,
          "p": 0.013439544603007553,
          "se": 0.004847090244759461,
          "t": 2.471917747782211,
          "term": "yob_38"
        },
        {
          "ci_high": 0.12069076674838888,
          "ci_low": 0.05754014595356108,
          "coef": 0.08911545635097498,
          "p": 3.1746317685400635e-8,
          "se": 0.01611008909296629,
          "t": 5.531655091211324,
          "term": "educ"
        }
      ],
      "first_stage": [
        {
          "ci_high": -0.24423101623545268,
          "ci_low": -0.4443099482623238,
          "coef": -0.34427048224888823,
          "endog": "educ",
          "instrument": "qtr1_yob30",
          "p": 1.5334104886584053e-11,
          "se": 0.05104129427339284,
          "t": -6.744940290990073
        },
        {
          "ci_high": 0.03329997025416202,
          "ci_low": -0.17667020336250389,
          "coef": -0.07168511655417092,
          "endog": "educ",
          "instrument": "qtr1_yob31",
          "p": 0.18080200278004172,
          "se": 0.05356460728591,
          "t": -1.3382925813595477
        },
        {
          "ci_high": -0.09210161848063765,
          "ci_low": -0.2942591678208908,
          "coef": -0.1931803931507642,
          "endog": "educ",
          "instrument": "qtr1_yob32",
          "p": 0.00017979988812732292,
          "se": 0.05157156158789376,
          "t": -3.7458705380003967
        },
        {
          "ci_high": 0.08420754559399626,
          "ci_low": -0.12236226572558334,
          "coef": -0.019077360065793546,
          "endog": "educ",
          "instrument": "qtr1_yob33",
          "p": 0.7173382253017675,
          "se": 0.05269715517146937,
          "t": -0.3620187845761012
        },
        {
          "ci_high": -0.04858890678595669,
          "ci_low": -0.2526220347339507,
          "coef": -0.15060547075995367,
          "endog": "educ",
          "instrument": "qtr1_yob34",
          "p": 0.0038102951969203416,
          "se": 0.052050032552731405,
          "t": -2.8934750541678658
        },
        {
          "ci_high": -0.06714195423790696,
          "ci_low": -0.27032296935537087,
          "coef": -0.16873246179663892,
          "endog": "educ",
          "instrument": "qtr1_yob35",
          "p": 0.0011327157087515853,
          "se": 0.05183265363483825,
          "t": -3.2553313396871673
        },
        {
          "ci_high": -0.08391769441429438,
          "ci_low": -0.2860284719644745,
          "coef": -0.18497308318938444,
          "endog": "educ",
          "instrument": "qtr1_yob36",
          "p": 0.00033383979192525557,
          "se": 0.05155962983337756,
          "t": -3.587556462045051
        },
        {
          "ci_high": -0.03889071440458361,
          "ci_low": -0.23848230110238802,
          "coef": -0.13868650775348582,
          "endog": "educ",
          "instrument": "qtr1_yob37",
          "p": 0.006454332685723027,
          "se": 0.05091696965759414,
          "t": -2.723777724521378
        },
        {
          "ci_high": 0.00598371111567067,
          "ci_low": -0.18889277267494778,
          "coef": -0.09145453077963855,
          "endog": "educ",
          "instrument": "qtr1_yob38",
          "p": 0.06582659390958243,
          "se": 0.04971411959948464,
          "t": -1.8396087774746919
        },
        {
          "ci_high": -0.016570143818348537,
          "ci_low": -0.21051088292701844,
          "coef": -0.11354051337268349,
          "endog": "educ",
          "instrument": "qtr1_yob39",
          "p": 0.021740170944274873,
          "se": 0.04947540571195907,
          "t": -2.2948879698673954
        },
        {
          "ci_high": -0.09622064831729407,
          "ci_low": -0.2962937332845743,
          "coef": -0.19625719080093418,
          "endog": "educ",
          "instrument": "qtr2_yob30",
          "p": 0.00012048696764349247,
          "se": 0.05103980265462924,
          "t": -3.845179263896192
        },
        {
          "ci_high": 0.02393777492354869,
          "ci_low": -0.18608624341832858,
          "coef": -0.08107423424738995,
          "endog": "educ",
          "instrument": "qtr2_yob31",
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    }

    Digests dos dados

    asciiqob 654074d5953a60c49422fd28f157a9ede3a844493e1280ba284d386a05958cf7

    sha256 do resultado

    c2e2224ae0adb4cec5d9bdfe7d81126cecd9954a5c0209c3614f2e70f89b0669

35. 34Pontuação
    #0figura próximapassouobrigatória0.08911545635 vs 0.08911545635601215
36. 35Pontuação
    #1figura próximapassouobrigatória0.01611008909 vs 0.016110089092885405
37. 36Pontuação
    #2figura próximapassouobrigatória0.08911545635 vs 0.0891
38. 37Pontuação
    #3figura próximapassouobrigatória0.01611008909 vs 0.0161

Épocas × verificações

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