Tarefa paper_repro.mrw_1992.tab1_inter_ls.agent

Veredito

Pergunta feita ao analista

Mankiw, Romer and Weil (1992), 'A Contribution to the Empirics of Economic Growth', Table I (the unrestricted textbook Solow regression), Intermediate sample: in the 75 'intermediate' countries (no Summers-Heston grade of D and a 1960 population of at least one million), estimate by ordinary least squares the regression of log GDP per working-age person in 1985 on the log of the investment share of GDP and the log of (n + g + δ), where n is the 1960-1985 growth rate of the working-age population and g + δ is assumed to be 0.05. Report the coefficient on the log of the investment share of GDP.

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

   Mankiw, Romer and Weil (1992), 'A Contribution to the Empirics of Economic Growth', Table I (the unrestricted textbook Solow regression), Intermediate sample: in the 75 'intermediate' countries (no Summers-Heston grade of D and a 1960 population of at least one million), estimate by ordinary least squares the regression of log GDP per working-age person in 1985 on the log of the investment share of GDP and the log of (n + g + δ), where n is the 1960-1985 growth rate of the working-age population and g + δ is assumed to be 0.05. Report the coefficient on the log of the investment share of GDP.

   growthdj (agent)

   The data of Mankiw, Romer and Weil (1992), 'A Contribution to the Empirics of Economic Growth', as transcribed by Durlauf and Johnson (R package AER, GrowthDJ): one row per country (121 rows). Columns: rownames, a row number; oil, 'yes' for the oil producers MRW exclude from the non-oil sample, else 'no'; inter, 'yes' for the 'intermediate' sample (no Summers-Heston grade of D, 1960 population of at least one million); oecd, 'yes' for the OECD sample; gdp60 and gdp85, real GDP per working-age person in 1960 and 1985 (dollars); gdpgrowth, average annual growth of GDP per working-age person 1960-1985 (percent); popgrowth, average annual growth of the working-age population 1960-1985 (percent); invest, average share of real investment in real GDP 1960-1985 (percent); school, percent of the working-age population in secondary school; literacy60, adult literacy rate in 1960 (percent). Columns built from the paper's definitions (g + δ = 0.05): ly, log of gdp85; s_share, invest divided by 100; ls, log of s_share (ln(I/GDP)); n_rate, popgrowth divided by 100; g_plus_delta, the constant 0.05; ngd, n_rate + g_plus_delta; lngd, log of ngd (ln(n + g + δ)). Some countries miss gdp85 or popgrowth.

   file 3d06303f1da9959175e990eb068bf242fac0e9bc1f9daad1f5fffe96d100e796 · frame —

   1. derive {"args":{"column":"gdp85"},"name":"ly","op":"log"}
   2. derive {"args":{"column":"invest","factor":0.01},"name":"s_share","op":"scale"}
   3. derive {"args":{"column":"s_share"},"name":"ls","op":"log"}
   4. derive {"args":{"column":"popgrowth","factor":0.01},"name":"n_rate","op":"scale"}
   5. derive {"args":{"value":0.05},"name":"g_plus_delta","op":"constant"}
   6. derive {"args":{"columns":["n_rate","g_plus_delta"]},"name":"ngd","op":"sum"}
   7. derive {"args":{"column":"ngd"},"name":"lngd","op":"log"}
2. 1Transformação
   growthdj · derive {"args":{"column":"gdp85"},"name":"ly","op":"log"}

   121 → 121 linhas

   Frame antes → depois: 6f822eca9c87 → 256189baba87
3. 2Transformação
   growthdj · derive {"args":{"column":"invest","factor":0.01},"name":"s_share","op":"scale"}

   121 → 121 linhas

   Frame antes → depois: 256189baba87 → ddc60cb0ca4e
4. 3Transformação
   growthdj · derive {"args":{"column":"s_share"},"name":"ls","op":"log"}

   121 → 121 linhas

   Frame antes → depois: ddc60cb0ca4e → 832bd9c4b876
5. 4Transformação
   growthdj · derive {"args":{"column":"popgrowth","factor":0.01},"name":"n_rate","op":"scale"}

   121 → 121 linhas

   Frame antes → depois: 832bd9c4b876 → ff997d0e044f
6. 5Transformação
   growthdj · derive {"args":{"value":0.05},"name":"g_plus_delta","op":"constant"}

   121 → 121 linhas

   Frame antes → depois: ff997d0e044f → b9e3acd5adf8
7. 6Transformação
   growthdj · derive {"args":{"columns":["n_rate","g_plus_delta"]},"name":"ngd","op":"sum"}

   121 → 121 linhas

   Frame antes → depois: b9e3acd5adf8 → 837704298f36
8. 7Transformação
   growthdj · derive {"args":{"column":"ngd"},"name":"lngd","op":"log"}

   121 → 121 linhas

   Frame antes → depois: 837704298f36 → e3f509733efe
9. 8Turno do modelo
   call_bb2ab52freferenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Texto visível

   Table I, Intermediate sample: OLS of log GDP per working-age person in 1985 on ln(I/GDP) and ln(n + g + δ) with g + δ = 0.05, classical errors.

   Chamadas pedidas

   • infer.ols

     {
       "controls": [],
       "dataset": "growthdj",
       "fe": [],
       "se": "classical",
       "subset": "inter == 'yes'",
       "x": [
         "ls",
         "lngd"
       ],
       "y": "ly"
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
10. 9Ferramenta
    infer.olsv0.1.0call_d1db91fbdecidido pelo modeloreexecutável

    Motivo: Table I, Intermediate sample: OLS of log GDP per working-age person in 1985 on ln(I/GDP) and ln(n + g + δ) with g + δ = 0.05, classical errors.

    Argumentos

    {
      "cluster": null,
      "controls": [],
      "dataset": "growthdj",
      "fe": [],
      "intercept": true,
      "level": 0.95,
      "se": "classical",
      "subset": "inter == 'yes'",
      "weights": null,
      "x": [
        "ls",
        "lngd"
      ],
      "y": "ly"
    }

    Figuras call_d1db91fb

    Chave	Valor	Valor bruto	Erro-padrão	IC
    coef.ls Coefficient on ls in the regression of ly	1,31755	1.3175526551860068	0,1709430.17094253097708434	0,976785 – 1,65832
    coef.lngd Coefficient on lngd in the regression of ly	-2,0172	-2.017199495235038	0,5338660.533865871049398	-3,08144 – -0,952957

    Diagnósticos

    • n_obs = 7575
    • k = 33
    • r2 = 0,5989080.5989084353517702
    • df_resid = 7272
    • se_type = "classical"
    • n_clusters = —

    Tabelas (1)

    {
      "coefficients": [
        {
          "ci_high": 8.42193032533697,
          "ci_low": 2.269800088693116,
          "coef": 5.345865207015043,
          "p": 0.0008989504601296264,
          "se": 1.5430756647701926,
          "t": 3.464421952251572,
          "term": "Intercept"
        },
        {
          "ci_high": 1.6583203626817928,
          "ci_low": 0.9767849476902208,
          "coef": 1.3175526551860068,
          "p": 5.383213566571891e-11,
          "se": 0.17094253097708434,
          "t": 7.707576620370919,
          "term": "ls"
        },
        {
          "ci_high": -0.9529573318138582,
          "ci_low": -3.081441658656218,
          "coef": -2.017199495235038,
          "p": 0.00032237256258626346,
          "se": 0.533865871049398,
          "t": -3.778476214015915,
          "term": "lngd"
        }
      ]
    }

    Digests dos dados

    growthdj e3f509733efe06358f9503c526bd45111b6a64feb75b292419aae56055b598f2

    sha256 do resultado

    815fa5e5c8f6806ce4ede7b4bf7465cbb5ea2ae1eed9e9479f83218f9aee54f5

    Resultado mostrado ao modelo
11. 10Turno do modelo
    call_096284ebreferenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

    Chamadas pedidas

    • submit_answer (meta-ferramenta)

      {
        "answer": "Estimativa (infer.ols): coef.ls = 1,318.",
        "caveats": [],
        "figure_refs": [
          "call_d1db91fb:coef.ls"
        ]
      }

    Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
12. 11Guarda
    resposta aceita

    Números encontrados

    1,318

    Sem lastro

    —

    Não citados

    —

    1 nova(s) tentativa(s) restante(s)
13. 12Resposta

    Estimativa (infer.ols): coef.ls = 1,318.

    Figuras citadas: call_d1db91fb:coef.ls · Parada: answered

    Figura da resposta: call_d1db91fb:coef.ls = 1,317551.3175526551860068 (se 0,1709430.17094253097708434)
14. 13Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
15. 14Pontuação
    #1figura da resposta escolhidapassouobrigatóriaanswer figure call_d1db91fb:coef.ls (infer.ols)
16. 15Pontuação
    #2ferramenta chamadapassouobrigatóriaanswer call is infer.ols
17. 16Pontuação
    #3argumento igualpassouobrigatóriainfer.ols.y = 'ly'
18. 17Pontuação
    #4diagnósticopassouobrigatória75 vs 75
19. 18Pontuação
    #5figura da resposta próximapassouobrigatória1.317552655 vs 1.3175526551860062
20. 19Pontuação
    #6figura da resposta próximapassouregistrada0.170942531 vs 0.17094253097708437
21. 20Pontuação
    #7figura da resposta próximafalhouregistrada1.317552655 vs 1.31
22. 21Pontuação
    #8figura da resposta próximapassouregistrada0.170942531 vs 0.17

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