Tarefa qrdata_socsci.362

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Pergunta feita ao analista

What is the average additional percentage wage increase associated with each additional year of education based on the instrumental variable of whether the individual is born in the last quarter q4? Please adjust for all the other variables, and round your answer to the nearest hundredth of a percent.

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Trajetória

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1. 0Início

   What is the average additional percentage wage increase associated with each additional year of education based on the instrumental variable of whether the individual is born in the last quarter q4? Please adjust for all the other variables, and round your answer to the nearest hundredth of a percent.

   ak91 (agent)

   The dataset provided, ak91.csv, contains information on individuals' log wages, years of schooling, year of birth, quarter of birth, and state of birth. The purpose of the analysis is to estimate the effect of education on wage, using linear regression and quarter of birth as an instrumental variable (IV). This idea takes advantage of US compulsory attendance law. Usually, they state that a kid must have turned 6 years by January 1 of the year they enter school. For this reason, kids that are born at the beginning of the year will enter school at an older age. Compulsory attendance law also requires students to be in school until they turn 16, at which point they are legally allowed to drop out. The result is that people born later in the year have, on average, more years of education than those born in the beginning of the year.

   file 3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970 · frame —

   ak91_iv (reference)

   file 3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970 · frame —

   1. derive {"args":{"cmp":"eq","column":"quarter_of_birth","value":4},"name":"q4","op":"indicator"}
   2. cast {"columns":["year_of_birth","state_of_birth"],"to":"int"}
   3. dummies {"column":"year_of_birth","drop_first":true,"prefix":"yob"}
   4. dummies {"column":"state_of_birth","drop_first":true,"prefix":"sob"}
2. 1Transformação
   ak91_iv · derive {"args":{"cmp":"eq","column":"quarter_of_birth","value":4},"name":"q4","op":"indicator"}

   329509 → 329509 linhas

   Frame antes → depois: af6529c7b49b → ce8d66b6716e
3. 2Transformação
   ak91_iv · cast {"columns":["year_of_birth","state_of_birth"],"to":"int"}

   329509 → 329509 linhas

   Frame antes → depois: ce8d66b6716e → ec1c6797fcab
4. 3Transformação
   ak91_iv · dummies {"column":"year_of_birth","drop_first":true,"prefix":"yob"}

   329509 → 329509 linhas

   Frame antes → depois: ec1c6797fcab → c138d8254047
5. 4Transformação
   ak91_iv · dummies {"column":"state_of_birth","drop_first":true,"prefix":"sob"}

   329509 → 329509 linhas

   Frame antes → depois: c138d8254047 → bde6e4a59971
6. 5Turno do modelo
   call_9fe06b70referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Texto visível

   2SLS of log wage on years of schooling instrumented by the fourth-quarter indicator, with year-of-birth and state-of-birth dummies as exogenous controls (Brave and True, ch. 8).

   Chamadas pedidas

   • infer.iv_2sls

     {
       "dataset": "ak91_iv",
       "endog": [
         "years_of_schooling"
       ],
       "exog": [
         "yob_31",
         "yob_32",
         "yob_33",
         "yob_34",
         "yob_35",
         "yob_36",
         "yob_37",
         "yob_38",
         "yob_39",
         "sob_2",
         "sob_4",
         "sob_5",
         "sob_6",
         "sob_8",
         "sob_9",
         "sob_10",
         "sob_11",
         "sob_12",
         "sob_13",
         "sob_15",
         "sob_16",
         "sob_17",
         "sob_18",
         "sob_19",
         "sob_20",
         "sob_21",
         "sob_22",
         "sob_23",
         "sob_24",
         "sob_25",
         "sob_26",
         "sob_27",
         "sob_28",
         "sob_29",
         "sob_30",
         "sob_31",
         "sob_32",
         "sob_33",
         "sob_34",
         "sob_35",
         "sob_36",
         "sob_37",
         "sob_38",
         "sob_39",
         "sob_40",
         "sob_41",
         "sob_42",
         "sob_44",
         "sob_45",
         "sob_46",
         "sob_47",
         "sob_48",
         "sob_49",
         "sob_50",
         "sob_51",
         "sob_53",
         "sob_54",
         "sob_55",
         "sob_56"
       ],
       "instruments": [
         "q4"
       ],
       "y": "log_wage"
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
7. 6Ferramenta
   infer.iv_2slsv0.1.0call_f3d49934decidido pelo modeloreexecutável

   Motivo: 2SLS of log wage on years of schooling instrumented by the fourth-quarter indicator, with year-of-birth and state-of-birth dummies as exogenous controls (Brave and True, ch. 8).

   Argumentos

   {
     "cluster": null,
     "dataset": "ak91_iv",
     "endog": [
       "years_of_schooling"
     ],
     "exog": [
       "yob_31",
       "yob_32",
       "yob_33",
       "yob_34",
       "yob_35",
       "yob_36",
       "yob_37",
       "yob_38",
       "yob_39",
       "sob_2",
       "sob_4",
       "sob_5",
       "sob_6",
       "sob_8",
       "sob_9",
       "sob_10",
       "sob_11",
       "sob_12",
       "sob_13",
       "sob_15",
       "sob_16",
       "sob_17",
       "sob_18",
       "sob_19",
       "sob_20",
       "sob_21",
       "sob_22",
       "sob_23",
       "sob_24",
       "sob_25",
       "sob_26",
       "sob_27",
       "sob_28",
       "sob_29",
       "sob_30",
       "sob_31",
       "sob_32",
       "sob_33",
       "sob_34",
       "sob_35",
       "sob_36",
       "sob_37",
       "sob_38",
       "sob_39",
       "sob_40",
       "sob_41",
       "sob_42",
       "sob_44",
       "sob_45",
       "sob_46",
       "sob_47",
       "sob_48",
       "sob_49",
       "sob_50",
       "sob_51",
       "sob_53",
       "sob_54",
       "sob_55",
       "sob_56"
     ],
     "instruments": [
       "q4"
     ],
     "level": 0.95,
     "se": "HC1",
     "subset": null,
     "y": "log_wage"
   }

   Figuras call_f3d49934

   Chave	Valor	Valor bruto	Erro-padrão	IC
   coef.years_of_schooling 2SLS effect of years_of_schooling on log_wage	0,0853029	0.08530286492088814	0,02554320.025543177250445984	0,035239 – 0,135367

   Diagnósticos

   • first_stage_F.years_of_schooling = 61,782761.782739389417884
   • partial_r2.years_of_schooling = 0,0001854010.0001854009158526182
   • weak_instrument = false
   • n_obs = 329.509329509
   • se_type = "HC1"
   • n_clusters = —

   Tabelas (3)

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         "term": "Intercept"
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       {
         "ci_high": 0.20714955221816717,
         "ci_low": 0.07857370811811398,
         "coef": 0.14286163016814057,
         "p": 0.000013281641183552394,
         "se": 0.03280044244109876,
         "t": 4.355478753821192,
         "term": "sob_39"
       },
       {
         "ci_high": 0.13624694452932523,
         "ci_low": -0.00043948451015657364,
         "coef": 0.06790373000958433,
         "p": 0.05149154100069472,
         "se": 0.03486949962933978,
         "t": 1.9473674911138958,
         "term": "sob_40"
       },
       {
         "ci_high": 0.20788564417928646,
         "ci_low": 0.005911997006078848,
         "coef": 0.10689882059268266,
         "p": 0.03801397836592057,
         "se": 0.05152464706798566,
         "t": 2.0747123304237673,
         "term": "sob_41"
       },
       {
         "ci_high": 0.16987913609769692,
         "ci_low": 0.050651357146552674,
         "coef": 0.1102652466221248,
         "p": 0.00028869827663273933,
         "se": 0.03041569688489749,
         "t": 3.6252743785356283,
         "term": "sob_42"
       },
       {
         "ci_high": 0.09266252307463849,
         "ci_low": -0.04537269601413709,
         "coef": 0.0236449135302507,
         "p": 0.5019207596325899,
         "se": 0.03521358378205637,
         "t": 0.6714713752679536,
         "term": "sob_44"
       },
       {
         "ci_high": -0.04037952205025931,
         "ci_low": -0.10431238040586062,
         "coef": -0.07234595122805997,
         "p": 0.000009177004707610597,
         "se": 0.01630964241584904,
         "t": -4.435777890369757,
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       },
       {
         "ci_high": 0.1320691163265951,
         "ci_low": -0.03204996766667174,
         "coef": 0.05000957432996168,
         "p": 0.2322966319638024,
         "se": 0.04186772877662776,
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         "term": "sob_46"
       },
       {
         "ci_high": 0.07377266702297164,
         "ci_low": 0.028762053842334767,
         "coef": 0.0512673604326532,
         "p": 0.000008015588755139145,
         "se": 0.011482468088805107,
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         "term": "sob_47"
       },
       {
         "ci_high": 0.12211438166895291,
         "ci_low": 0.01941729830089254,
         "coef": 0.07076583998492272,
         "p": 0.006910817545267574,
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         "term": "sob_48"
       },
       {
         "ci_high": 0.21580555190185913,
         "ci_low": -0.015541725755286256,
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       },
       {
         "ci_high": 0.003431319951868503,
         "ci_low": -0.10495027227600642,
         "coef": -0.05075947616206896,
         "p": 0.06637818536813327,
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         "term": "sob_50"
       },
       {
         "ci_high": 0.06100474972900036,
         "ci_low": 0.011488284133942168,
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       },
       {
         "ci_high": 0.253534117738722,
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       },
       {
         "ci_high": 0.14756678930468498,
         "ci_low": 0.10368904406552427,
         "coef": 0.12562791668510462,
         "p": 3.171203287244251e-29,
         "se": 0.01119346691624551,
         "t": 11.223324964920028,
         "term": "sob_54"
       },
       {
         "ci_high": 0.1710830974006074,
         "ci_low": 0.039090483526227376,
         "coef": 0.10508679046341739,
         "p": 0.001803221793095058,
         "se": 0.03367208019779965,
         "t": 3.1208879833412975,
         "term": "sob_55"
       },
       {
         "ci_high": 0.2174301684997997,
         "ci_low": 0.002651921607762231,
         "coef": 0.11004104505378097,
         "p": 0.04460462137490501,
         "se": 0.054791174610530596,
         "t": 2.0083717101518683,
         "term": "sob_56"
       },
       {
         "ci_high": 0.1353667563130701,
         "ci_low": 0.03523897352870618,
         "coef": 0.08530286492088814,
         "p": 0.0008392180558554179,
         "se": 0.025543177250445984,
         "t": 3.3395557680436463,
         "term": "years_of_schooling"
       }
     ],
     "first_stage": [
       {
         "ci_high": 0.12600744808677325,
         "ci_low": 0.07570873736896201,
         "coef": 0.10085809272786762,
         "endog": "years_of_schooling",
         "instrument": "q4",
         "p": 3.846696918374697e-15,
         "se": 0.012831492395081716,
         "t": 7.860199704168965
       }
     ],
     "reduced_form": [
       {
         "ci_high": 0.013911242370463133,
         "ci_low": 0.003295726149817331,
         "coef": 0.008603484260140232,
         "instrument": "q4",
         "p": 0.0014883683423645975,
         "se": 0.002708079664691067,
         "t": 3.1769686735274467
       }
     ]
   }

   Digests dos dados

   ak91_iv bde6e4a5997113d378703b104e7cbce2209be4aa4c18126fa1755f5365803fef

   sha256 do resultado

   85a1b8917183d194477e9a8e5e09283c6a0ad7ef5bff25d86d24439278596e92

   Resultado mostrado ao modelo
8. 7Turno do modelo
   call_22971485referenceFim: 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.years_of_schooling = 0,08530. Caminho de referência inferido à mão.",
       "caveats": [],
       "figure_refs": [
         "call_f3d49934:coef.years_of_schooling"
       ]
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
9. 8Guarda
   resposta aceita

   Números encontrados

   0,08530

   Sem lastro

   —

   Não citados

   —

   1 nova(s) tentativa(s) restante(s)
10. 9Resposta

    Estimativa (infer.iv_2sls): coef.years_of_schooling = 0,08530. Caminho de referência inferido à mão.

    Figuras citadas: call_f3d49934:coef.years_of_schooling · Parada: answered

    Figura da resposta: call_f3d49934:coef.years_of_schooling = 0,08530290.08530286492088814 (se 0,02554320.025543177250445984)
11. 10Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
12. 11Pontuação
    #1figura da resposta próximapassouobrigatória0.0853 in (0.082741, 0.087859)?

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Tentativas

Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.

• época 1, tentativa 1passoupontuada(exibindo)

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