Tarefa paper_repro.thornton_2008.tab4_c1.design

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Pergunta feita ao analista

Do small cash incentives raise the share of people in rural Malawi who return to learn their HIV test results? In the paper's main sample of respondents who were tested, estimate the effect of being offered any incentive on learning one's result, accounting for the fact that incentives were assigned to people within villages.

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1. 0Início

   Do small cash incentives raise the share of people in rural Malawi who return to learn their HIV test results? In the paper's main sample of respondents who were tested, estimate the effect of being offered any incentive on learning one's result, accounting for the fact that incentives were assigned to people within villages.

   thornton (agent)

   Thornton's (2008) Malawi HIV-results experiment, as distributed with 'Causal Inference: The Mixtape' (thornton_hiv.dta): one row per respondent of the 2004 survey (4,820 rows, 133 columns; most are interactions not needed here). Columns used by the paper's main tables: villnum, village identifier (incentives were randomized to individuals within villages); site, district (1 Mchinji, 2 Balaka, 3 Rumphi); rumphi and balaka, 1 for respondents in those districts; got, 1 if the respondent went to the results centre and learned the HIV test result; any, 1 if the respondent was offered any nonzero monetary incentive; tinc, the value of the incentive offered; distvct, distance from home to the assigned results centre (km); under and over, 1 if that distance is under or over 1.5 km; simaverage, simulated average distance; hiv2004, 1 if HIV positive (0 negative; -1 or missing when not tested); test2004, 1 if tested in 2004; male, 1 for men; age, in years; age2, age squared; MainSample, 1 for the paper's main analysis sample (tested, with demographic data) and missing otherwise.

   file 1e05f2cda26106ca979ad70319cae69c237f9fd3369e429d86a4ec5062afb949 · frame —
2. 1Turno do modelo
   call_132d9350referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Texto visível

   Table 4, column (1): OLS of attendance at the results centre on any incentive, HIV status, sex, age, age squared and district dummies, errors clustered by village, in the main sample (tested, with demographic data).

   Chamadas pedidas

   • infer.ols

     {
       "cluster": "villnum",
       "controls": [
         "hiv2004",
         "male",
         "age",
         "age2",
         "rumphi",
         "balaka"
       ],
       "dataset": "thornton",
       "fe": [],
       "subset": "MainSample == 1",
       "x": [
         "any"
       ],
       "y": "got"
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
3. 2Ferramenta
   infer.olsv0.1.0call_1b75cd1ddecidido pelo modeloreexecutável

   Motivo: Table 4, column (1): OLS of attendance at the results centre on any incentive, HIV status, sex, age, age squared and district dummies, errors clustered by village, in the main sample (tested, with demographic data).

   Argumentos

   {
     "cluster": "villnum",
     "controls": [
       "hiv2004",
       "male",
       "age",
       "age2",
       "rumphi",
       "balaka"
     ],
     "dataset": "thornton",
     "fe": [],
     "intercept": true,
     "level": 0.95,
     "se": "HC1",
     "subset": "MainSample == 1",
     "weights": null,
     "x": [
       "any"
     ],
     "y": "got"
   }

   Figuras call_1b75cd1d

   Chave	Valor	Valor bruto	Erro-padrão	IC
   coef.any Coefficient on any in the regression of got	0,431484	0.43148448096904746	0,02290380.022903775310708474	0,386129 – 0,47684

   Diagnósticos

   • n_obs = 2.8122812
   • k = 88
   • r2 = 0,181360.1813597706906881
   • df_resid = 2.8042804
   • se_type = "cluster"
   • n_clusters = 119119

   Tabelas (1)

   {
     "coefficients": [
       {
         "ci_high": 0.46315992448391674,
         "ci_low": 0.2287466369483815,
         "coef": 0.3459532807161491,
         "p": 4.5941886333014205e-8,
         "se": 0.059187136420660445,
         "t": 5.845075495076448,
         "term": "Intercept"
       },
       {
         "ci_high": 0.47684019162042696,
         "ci_low": 0.38612877031766796,
         "coef": 0.43148448096904746,
         "p": 2.2667877103064597e-37,
         "se": 0.022903775310708474,
         "t": 18.839011259742424,
         "term": "any"
       },
       {
         "ci_high": 0.007346364068939702,
         "ci_low": -0.11645315494960973,
         "coef": -0.05455339544033501,
         "p": 0.08354447647717793,
         "se": 0.03125820681070506,
         "t": -1.745250320042415,
         "term": "hiv2004"
       },
       {
         "ci_high": 0.026959644688966417,
         "ci_low": -0.04646417870172913,
         "coef": -0.009752267006381356,
         "p": 0.5998437286886793,
         "se": 0.01853882046209857,
         "t": -0.5260457118250452,
         "term": "male"
       },
       {
         "ci_high": 0.010806472749021884,
         "ci_low": -0.001380706983903632,
         "coef": 0.004712882882559126,
         "p": 0.12830390998885716,
         "se": 0.003077147532971754,
         "t": 1.5315752111526681,
         "term": "age"
       },
       {
         "ci_high": 0.00004452430568361621,
         "ci_low": -0.00011913722431766311,
         "coef": -0.00003730645931702345,
         "p": 0.3684704324710839,
         "se": 0.00004132298729666214,
         "t": -0.9028016065052703,
         "term": "age2"
       },
       {
         "ci_high": -0.0792476627094785,
         "ci_low": -0.1949862230531265,
         "coef": -0.1371169428813025,
         "p": 0.000007340978823823163,
         "se": 0.029222891040900964,
         "t": -4.692107385589974,
         "term": "rumphi"
       },
       {
         "ci_high": -0.07180091213444206,
         "ci_low": -0.16396647992205243,
         "coef": -0.11788369602824725,
         "p": 0.0000015197747132819793,
         "se": 0.023270933534883274,
         "t": -5.065705501308697,
         "term": "balaka"
       }
     ]
   }

   Digests dos dados

   thornton dc13aacf7f58cce5e743c7dbaeafdfd387dc91212e8c2bbf48e7948d8ff682d7

   sha256 do resultado

   b9edb7ef8a6af8ff563d9d7944a6004ffd812d39aeafd09d05dba9a94a7b5763

   Resultado mostrado ao modelo
4. 3Turno do modelo
   call_283533edreferenceFim: 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.any = 0,4315.",
       "caveats": [],
       "figure_refs": [
         "call_1b75cd1d:coef.any"
       ]
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
5. 4Guarda
   resposta aceita

   Números encontrados

   0,4315

   Sem lastro

   —

   Não citados

   —

   1 nova(s) tentativa(s) restante(s)
6. 5Resposta

   Estimativa (infer.ols): coef.any = 0,4315.

   Figuras citadas: call_1b75cd1d:coef.any · Parada: answered

   Figura da resposta: call_1b75cd1d:coef.any = 0,4314840.43148448096904746 (se 0,02290380.022903775310708474)
7. 6Pontuação
   #0resposta com lastropassouobrigatóriaevery number backed
8. 7Pontuação
   #1figura da resposta escolhidapassouobrigatóriaanswer figure call_1b75cd1d:coef.any (infer.ols)
9. 8Pontuação
   #2uma entrepassouobrigatóriatool_called(infer.ols): ok | tool_called(infer.ate): answer call is infer.ols | tool_called(infer.neyman): answer call is infer.ols
10. 9Pontuação
    #3argumento igualpassouobrigatóriainfer.ols.y = 'got'
11. 10Pontuação
    #4argumento igualpassouobrigatóriainfer.ols.x[0] = 'any'
12. 11Pontuação
    #5argumento igualpassouobrigatórianot applicable: the answer call is infer.ols, not infer.ate
13. 12Pontuação
    #6argumento igualpassouobrigatórianot applicable: the answer call is infer.ols, not infer.ate
14. 13Pontuação
    #7argumento igualpassouobrigatórianot applicable: the answer call is infer.ols, not infer.neyman
15. 14Pontuação
    #8argumento igualpassouobrigatórianot applicable: the answer call is infer.ols, not infer.neyman
16. 15Pontuação
    #9argumento igualpassouregistradainfer.ols.y = 'got'
17. 16Pontuação
    #10argumento igualpassouregistradainfer.ols.cluster = 'villnum'
18. 17Pontuação
    #11diagnósticopassouregistrada2812 vs 2812
19. 18Pontuação
    #12figura da resposta próximapassouregistrada0.431484481 vs 0.4314844809690622
20. 19Pontuação
    #13figura da resposta próximapassouregistrada0.02290377531 vs 0.022903775310708543
21. 20Pontuação
    #14figura da resposta próximapassouregistrada0.431484481 vs 0.431
22. 21Pontuação
    #15figura da resposta próximapassouregistrada0.02290377531 vs 0.023

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)

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