Tarefa crb_papers.q063

Veredito

Pergunta feita ao analista

What is the causal effect of a one log-unit increase in logged EU ODA (EV) in year t-1 on the CIRI Human Empowerment index averaged over years t through t+3 in the study population?

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

   What is the causal effect of a one log-unit increase in logged EU ODA (EV) in year t-1 on the CIRI Human Empowerment index averaged over years t through t+3 in the study population?

   ds_0033 (agent)

   | Variable Name | Description | |---------------|-------------| | year | Reference calendar year t for the country–year record; the released extract has reference years 1987–2006. | | ccode | Numeric country identifier (standard country code used to identify panel units). | | new_empinx | Annual CIRI "Human Empowerment" index (composite civil and political rights indicator) for the country–year. | | polity2 | Polity IV combined regime score for the country–year (standard polity measure of regime characteristics). | | EV | Natural logarithm of one plus net EU/European Community official development assistance in year t−1, measured in millions of constant 1995 US dollars. Negative net amounts were set to zero before the logarithmic transformation. | | l2CPcol2 | Equals 1 when the recipient country was a former colony of the EU member holding the Council presidency during July–December of year t−2; otherwise 0. | | covihme_ayem | Average years of educational attainment (lagged educational-attainment measure, source noted in paper). | | covihme_ayemF | Equals 1 when covihme_ayem represents a missing value coded −99, and 0 otherwise. | | covwdi_exp | Exports (World Bank WDI series, lagged; often logged/transformed in the replication). | | covwdi_expF | Missingness flag / indicator for covwdi_exp. | | covwdi_fdi | Foreign direct investment (WDI series, lagged; inward FDI measure). | | covwdi_fdiF | Missingness flag / indicator for covwdi_fdi. | | covwdi_imp | Imports (World Bank WDI series, lagged; often logged/transformed). | | covwdi_impF | Missingness flag / indicator for covwdi_imp. | | covwvs_rel | Lagged religiosity measure included in the source socioeconomic compilation; measured in year t−2, with −99 for missing values. | | covwvs_relF | Missingness flag / indicator for covwvs_rel. | | coviNY_GDP_PETR_RT_ZS | Petroleum/oil rents as percent of GDP (World Bank indicator NY.GDP.PETR.RT.ZS), lagged. | | coviNY_GDP_PETR_RT_ZSF | Missingness flag / indicator for coviNY_GDP_PETR_RT_ZS. | | covdemregion | Regional democracy context: number (or summary count) of democracies in the same region (lagged regional-democracy measure). | | covdemregionF | Missingness flag / indicator for covdemregion. | | covloggdpC | Logged GDP per capita measured in year t−2; missing values are represented by −99 and flagged by covloggdpCF. | | covloggdpCF | Missingness flag / indicator for covloggdpC. | | covloggdp | Logged GDP measured in year t−2; missing values are represented by −99 and flagged by covloggdpF. | | covloggdpF | Missingness flag / indicator for covloggdp. | | _Iyear_1963 … _Iyear_2011 | Binary year-indicator columns retained from the wider source panel. Each denotes the corresponding calendar year; columns for years outside this extract are zero. | | _Iccode_40 … _Iccode_990 | Binary country-indicator columns retained from the wider source panel; each denotes the corresponding ccode. | | new_empinxavg | Arithmetic average of the CIRI Human Empowerment index in years t, t+1, t+2, and t+3; the index ranges from 0 to 14. | | polity2avg | Arithmetic average of the Polity IV combined score over years t, t+1, t+2, and t+3. | Data Description: Each observation is an aid-recipient country in reference year t. The released extract contains 1,792 observations for 115 countries, with reference years 1987–2006. It combines EU/European Community aid records, historical colonial links, Council-presidency calendars, the CIRI Human Empowerment index, Polity IV regime scores, and socioeconomic measures from World Development Indicators, religiosity and education-attainment series, and regional democracy counts. The Council presidency rotates among member governments for six-month terms under a prearranged schedule. During July–December, the presidency participates in setting the following year's aid budget. Historical colonial links connect recipient countries to particular European governments. The European Commission subsequently administers disbursement of the allocated aid; an aid allocation is distinct from the amount actually disbursed. l2CPcol2 refers to the second-half presidency in t−2, EV to aid in t−1, and new_empinxavg to outcomes over t through t+3. Substantive variables prefixed cov are measured two years before the reference year. Missing values were replaced with the placeholder −99; associated variables ending in F equal 1 for those missing values and 0 otherwise. The −99 entries are not measured socioeconomic values. The file also retains binary year and country indicators and the four-year outcome averages.

   file 12fb375d5f7bc7882d97ba1cfcbbdb3f0d005e988762d4b8c98a6a8d00133974 · frame —

   ref_iv (reference)

   file 12fb375d5f7bc7882d97ba1cfcbbdb3f0d005e988762d4b8c98a6a8d00133974 · frame —

   1. select {"columns":["new_empinxavg","EV","l2CPcol2","year","ccode","covloggdp","covloggdpCF","covloggdpC","covdemregionF","covdemregion","coviNY_GDP_PETR_RT_ZSF","coviNY_GDP_PETR_RT_ZS","covwvs_relF","covwvs_rel","covwdi_imp","covwdi_fdiF","covwdi_fdi","covwdi_expF","covwdi_exp","covihme_ayemF","covihme_ayem"]}
   2. dropna {"columns":["new_empinxavg","EV","l2CPcol2","year","ccode","covloggdp","covloggdpCF","covloggdpC","covdemregionF","covdemregion","coviNY_GDP_PETR_RT_ZSF","coviNY_GDP_PETR_RT_ZS","covwvs_relF","covwvs_rel","covwdi_imp","covwdi_fdiF","covwdi_fdi","covwdi_expF","covwdi_exp","covihme_ayemF","covihme_ayem"]}
   3. dummies {"column":"year","drop_first":true,"prefix":"year"}
   4. dummies {"column":"ccode","drop_first":true,"prefix":"ccode"}
2. 1Transformação
   ref_iv · select {"columns":["new_empinxavg","EV","l2CPcol2","year","ccode","covloggdp","covloggdpCF","covloggdpC","covdemregionF","covdemregion","coviNY_GDP_PETR_RT_ZSF","coviNY_GDP_PETR_RT_ZS","covwvs_relF","covwvs_rel","covwdi_imp","covwdi_fdiF","covwdi_fdi","covwdi_expF","covwdi_exp","covihme_ayemF","covihme_ayem"]}

   1792 → 1792 linhas

   Frame antes → depois: b0d30cde4dfd → 7803eba1e9d9
3. 2Transformação
   ref_iv · dropna {"columns":["new_empinxavg","EV","l2CPcol2","year","ccode","covloggdp","covloggdpCF","covloggdpC","covdemregionF","covdemregion","coviNY_GDP_PETR_RT_ZSF","coviNY_GDP_PETR_RT_ZS","covwvs_relF","covwvs_rel","covwdi_imp","covwdi_fdiF","covwdi_fdi","covwdi_expF","covwdi_exp","covihme_ayemF","covihme_ayem"]}

   1792 → 1792 linhas

   Frame antes → depois: 7803eba1e9d9 → 7803eba1e9d9
4. 3Transformação
   ref_iv · dummies {"column":"year","drop_first":true,"prefix":"year"}

   1792 → 1792 linhas

   Frame antes → depois: 7803eba1e9d9 → 9327a8ce09e7
5. 4Transformação
   ref_iv · dummies {"column":"ccode","drop_first":true,"prefix":"ccode"}

   1792 → 1792 linhas

   Frame antes → depois: 9327a8ce09e7 → b68d973c4032
6. 5Turno do modelo
   call_979a3a6freferenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Texto visível

   IV2SLS(new_empinxavg, 1 + controls - covdemregionF + C(year) + C(ccode), EV, l2CPcol2); one of the two cluster dimensions

   Chamadas pedidas

   • infer.iv_2sls

     {
       "cluster": "ccode",
       "dataset": "ref_iv",
       "endog": [
         "EV"
       ],
       "exog": [
         "covloggdp",
         "covloggdpCF",
         "covloggdpC",
         "covdemregion",
         "coviNY_GDP_PETR_RT_ZSF",
         "coviNY_GDP_PETR_RT_ZS",
         "covwvs_relF",
         "covwvs_rel",
         "covwdi_imp",
         "covwdi_fdiF",
         "covwdi_fdi",
         "covwdi_expF",
         "covwdi_exp",
         "covihme_ayemF",
         "covihme_ayem",
         "year_1988.0",
         "year_1989.0",
         "year_1990.0",
         "year_1991.0",
         "year_1992.0",
         "year_1993.0",
         "year_1994.0",
         "year_1995.0",
         "year_1996.0",
         "year_1997.0",
         "year_1998.0",
         "year_1999.0",
         "year_2000.0",
         "year_2001.0",
         "year_2002.0",
         "year_2003.0",
         "year_2004.0",
         "year_2005.0",
         "year_2006.0",
         "ccode_40.0",
         "ccode_41.0",
         "ccode_42.0",
         "ccode_51.0",
         "ccode_52.0",
         "ccode_53.0",
         "ccode_54.0",
         "ccode_55.0",
         "ccode_56.0",
         "ccode_57.0",
         "ccode_58.0",
         "ccode_60.0",
         "ccode_70.0",
         "ccode_80.0",
         "ccode_90.0",
         "ccode_91.0",
         "ccode_92.0",
         "ccode_93.0",
         "ccode_94.0",
         "ccode_95.0",
         "ccode_100.0",
         "ccode_101.0",
         "ccode_110.0",
         "ccode_115.0",
         "ccode_130.0",
         "ccode_135.0",
         "ccode_140.0",
         "ccode_145.0",
         "ccode_150.0",
         "ccode_155.0",
         "ccode_160.0",
         "ccode_165.0",
         "ccode_352.0",
         "ccode_402.0",
         "ccode_403.0",
         "ccode_404.0",
         "ccode_411.0",
         "ccode_420.0",
         "ccode_432.0",
         "ccode_433.0",
         "ccode_434.0",
         "ccode_435.0",
         "ccode_436.0",
         "ccode_437.0",
         "ccode_438.0",
         "ccode_439.0",
         "ccode_451.0",
         "ccode_452.0",
         "ccode_461.0",
         "ccode_471.0",
         "ccode_475.0",
         "ccode_481.0",
         "ccode_482.0",
         "ccode_483.0",
         "ccode_484.0",
         "ccode_490.0",
         "ccode_500.0",
         "ccode_501.0",
         "ccode_510.0",
         "ccode_516.0",
         "ccode_517.0",
         "ccode_520.0",
         "ccode_522.0",
         "ccode_531.0",
         "ccode_540.0",
         "ccode_541.0",
         "ccode_551.0",
         "ccode_552.0",
         "ccode_553.0",
         "ccode_560.0",
         "ccode_565.0",
         "ccode_570.0",
         "ccode_571.0",
         "ccode_572.0",
         "ccode_580.0",
         "ccode_581.0",
         "ccode_590.0",
         "ccode_591.0",
         "ccode_600.0",
         "ccode_615.0",
         "ccode_616.0",
         "ccode_620.0",
         "ccode_625.0",
         "ccode_645.0",
         "ccode_651.0",
         "ccode_652.0",
         "ccode_660.0",
         "ccode_663.0",
         "ccode_678.0",
         "ccode_692.0",
         "ccode_694.0",
         "ccode_696.0",
         "ccode_698.0",
         "ccode_750.0",
         "ccode_760.0",
         "ccode_770.0",
         "ccode_771.0",
         "ccode_775.0",
         "ccode_780.0",
         "ccode_781.0",
         "ccode_811.0",
         "ccode_812.0",
         "ccode_816.0",
         "ccode_820.0",
         "ccode_830.0",
         "ccode_835.0",
         "ccode_850.0",
         "ccode_935.0",
         "ccode_940.0",
         "ccode_946.0",
         "ccode_947.0",
         "ccode_950.0",
         "ccode_955.0",
         "ccode_990.0"
       ],
       "instruments": [
         "l2CPcol2"
       ],
       "y": "new_empinxavg"
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
7. 6Ferramenta
   infer.iv_2slsv0.1.0call_537d2782decidido pelo modeloreexecutável

   Motivo: IV2SLS(new_empinxavg, 1 + controls - covdemregionF + C(year) + C(ccode), EV, l2CPcol2); one of the two cluster dimensions

   Argumentos

   {
     "cluster": "ccode",
     "dataset": "ref_iv",
     "endog": [
       "EV"
     ],
     "exog": [
       "covloggdp",
       "covloggdpCF",
       "covloggdpC",
       "covdemregion",
       "coviNY_GDP_PETR_RT_ZSF",
       "coviNY_GDP_PETR_RT_ZS",
       "covwvs_relF",
       "covwvs_rel",
       "covwdi_imp",
       "covwdi_fdiF",
       "covwdi_fdi",
       "covwdi_expF",
       "covwdi_exp",
       "covihme_ayemF",
       "covihme_ayem",
       "year_1988.0",
       "year_1989.0",
       "year_1990.0",
       "year_1991.0",
       "year_1992.0",
       "year_1993.0",
       "year_1994.0",
       "year_1995.0",
       "year_1996.0",
       "year_1997.0",
       "year_1998.0",
       "year_1999.0",
       "year_2000.0",
       "year_2001.0",
       "year_2002.0",
       "year_2003.0",
       "year_2004.0",
       "year_2005.0",
       "year_2006.0",
       "ccode_40.0",
       "ccode_41.0",
       "ccode_42.0",
       "ccode_51.0",
       "ccode_52.0",
       "ccode_53.0",
       "ccode_54.0",
       "ccode_55.0",
       "ccode_56.0",
       "ccode_57.0",
       "ccode_58.0",
       "ccode_60.0",
       "ccode_70.0",
       "ccode_80.0",
       "ccode_90.0",
       "ccode_91.0",
       "ccode_92.0",
       "ccode_93.0",
       "ccode_94.0",
       "ccode_95.0",
       "ccode_100.0",
       "ccode_101.0",
       "ccode_110.0",
       "ccode_115.0",
       "ccode_130.0",
       "ccode_135.0",
       "ccode_140.0",
       "ccode_145.0",
       "ccode_150.0",
       "ccode_155.0",
       "ccode_160.0",
       "ccode_165.0",
       "ccode_352.0",
       "ccode_402.0",
       "ccode_403.0",
       "ccode_404.0",
       "ccode_411.0",
       "ccode_420.0",
       "ccode_432.0",
       "ccode_433.0",
       "ccode_434.0",
       "ccode_435.0",
       "ccode_436.0",
       "ccode_437.0",
       "ccode_438.0",
       "ccode_439.0",
       "ccode_451.0",
       "ccode_452.0",
       "ccode_461.0",
       "ccode_471.0",
       "ccode_475.0",
       "ccode_481.0",
       "ccode_482.0",
       "ccode_483.0",
       "ccode_484.0",
       "ccode_490.0",
       "ccode_500.0",
       "ccode_501.0",
       "ccode_510.0",
       "ccode_516.0",
       "ccode_517.0",
       "ccode_520.0",
       "ccode_522.0",
       "ccode_531.0",
       "ccode_540.0",
       "ccode_541.0",
       "ccode_551.0",
       "ccode_552.0",
       "ccode_553.0",
       "ccode_560.0",
       "ccode_565.0",
       "ccode_570.0",
       "ccode_571.0",
       "ccode_572.0",
       "ccode_580.0",
       "ccode_581.0",
       "ccode_590.0",
       "ccode_591.0",
       "ccode_600.0",
       "ccode_615.0",
       "ccode_616.0",
       "ccode_620.0",
       "ccode_625.0",
       "ccode_645.0",
       "ccode_651.0",
       "ccode_652.0",
       "ccode_660.0",
       "ccode_663.0",
       "ccode_678.0",
       "ccode_692.0",
       "ccode_694.0",
       "ccode_696.0",
       "ccode_698.0",
       "ccode_750.0",
       "ccode_760.0",
       "ccode_770.0",
       "ccode_771.0",
       "ccode_775.0",
       "ccode_780.0",
       "ccode_781.0",
       "ccode_811.0",
       "ccode_812.0",
       "ccode_816.0",
       "ccode_820.0",
       "ccode_830.0",
       "ccode_835.0",
       "ccode_850.0",
       "ccode_935.0",
       "ccode_940.0",
       "ccode_946.0",
       "ccode_947.0",
       "ccode_950.0",
       "ccode_955.0",
       "ccode_990.0"
     ],
     "instruments": [
       "l2CPcol2"
     ],
     "level": 0.95,
     "se": "HC1",
     "subset": null,
     "y": "new_empinxavg"
   }

   Figuras call_537d2782

   Chave	Valor	Valor bruto	Erro-padrão	IC
   coef.EV 2SLS effect of EV on new_empinxavg	1,70545	1.7054492724946613	1,037411.0374078828418587	-0,349648 – 3,76055

   Diagnósticos

   • first_stage_F.EV = 5,387875.3878660954157676
   • partial_r2.EV = 0,002739180.002739183987464755
   • weak_instrument = true
   • n_obs = 1.7921792
   • se_type = "cluster"
   • n_clusters = 115115

   Tabelas (3)

   {
     "coefficients": [
       {
         "ci_high": 310.2383648556391,
         "ci_low": -108.1687224053768,
         "coef": 101.03482122513114,
         "p": 0.34073312113797993,
         "se": 105.60543008888446,
         "t": 0.9567199446097951,
         "term": "Intercept"
       },
       {
         "ci_high": -0.03997958943671026,
         "ci_low": -0.7950913640131285,
         "coef": -0.41753547672491936,
         "p": 0.030504214480135627,
         "se": 0.19058927572509446,
         "t": -2.1907606035880614,
         "term": "covloggdp"
       },
       {
         "ci_high": 7.30369522337638,
         "ci_low": -112.24106342426145,
         "coef": -52.46868410044254,
         "p": 0.08474637410792255,
         "se": 30.172948872589398,
         "t": -1.7389312632981555,
         "term": "covloggdpCF"
       },
       {
         "ci_high": 0.5428883776881399,
         "ci_low": -0.5665420820541356,
         "coef": -0.011826852182997859,
         "p": 0.9663845211378614,
         "se": 0.2800188725811483,
         "t": -0.04223591100835707,
         "term": "covloggdpC"
       },
       {
         "ci_high": 2.868730681956319,
         "ci_low": -1.3562485575195353,
         "coef": 0.7562410622183919,
         "p": 0.47966874388602393,
         "se": 1.0663795219680723,
         "t": 0.7091669022513675,
         "term": "covdemregion"
       },
       {
         "ci_high": 2.7309457002630886,
         "ci_low": -7.983886063854024,
         "coef": -2.626470181795468,
         "p": 0.33351455738485913,
         "se": 2.7044102531507415,
         "t": -0.9711803816508718,
         "term": "coviNY_GDP_PETR_RT_ZSF"
       },
       {
         "ci_high": 0.020276885246054213,
         "ci_low": -0.03893920558033727,
         "coef": -0.009331160167141526,
         "p": 0.5336635273958275,
         "se": 0.014946067909223433,
         "t": -0.6243220774731749,
         "term": "coviNY_GDP_PETR_RT_ZS"
       },
       {
         "ci_high": 31.35708159712084,
         "ci_low": -20.636083835367216,
         "coef": 5.3604988808768095,
         "p": 0.6836869329686006,
         "se": 13.123010494693432,
         "t": 0.408480880438558,
         "term": "covwvs_relF"
       },
       {
         "ci_high": 0.30831044964266097,
         "ci_low": -0.20287716701138803,
         "coef": 0.05271664131563647,
         "p": 0.6836122614494151,
         "se": 0.12902312067956334,
         "t": 0.4085829038855866,
         "term": "covwvs_rel"
       },
       {
         "ci_high": 0.9993429745672748,
         "ci_low": -1.3012844969424031,
         "coef": -0.1509707611875642,
         "p": 0.7953392316159187,
         "se": 0.5806755215203054,
         "t": -0.25999160562562984,
         "term": "covwdi_imp"
       },
       {
         "ci_high": 5.112853617113448,
         "ci_low": -4.448944958395813,
         "coef": 0.33195432935881736,
         "p": 0.8908409878271185,
         "se": 2.4133861058620316,
         "t": 0.13754712872196942,
         "term": "covwdi_fdiF"
       },
       {
         "ci_high": 0.03612938359750216,
         "ci_low": -0.04955032621687626,
         "coef": -0.00671047130968705,
         "p": 0.7568961270797824,
         "se": 0.021625452532532417,
         "t": -0.31030431846880896,
         "term": "covwdi_fdi"
       },
       {
         "ci_high": 50.3058411777984,
         "ci_low": -67.92713783052304,
         "coef": -8.810648326362317,
         "p": 0.7683440517587927,
         "se": 29.841857317953686,
         "t": -0.2952446368363804,
         "term": "covwdi_expF"
       },
       {
         "ci_high": 1.1245777335424008,
         "ci_low": -0.9906921117754719,
         "coef": 0.0669428108834644,
         "p": 0.9004383880516277,
         "se": 0.5338914864735259,
         "t": 0.12538654872666508,
         "term": "covwdi_exp"
       },
       {
         "ci_high": 24.055993768902955,
         "ci_low": -58.21912736442732,
         "coef": -17.081566797762182,
         "p": 0.412470791662167,
         "se": 20.766138570401697,
         "t": -0.8225682757462096,
         "term": "covihme_ayemF"
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         "ci_high": -1.608292749966159,
         "ci_low": -6.854645371312369,
         "coef": -4.231469060639264,
         "p": 0.0018056259921372308,
         "se": 1.3241728972663953,
         "t": -3.195556312453345,
         "term": "ccode_950.0"
       },
       {
         "ci_high": -4.385876678225424,
         "ci_low": -8.54877650010509,
         "coef": -6.467326589165257,
         "p": 1.1492891313985714e-8,
         "se": 1.050710753932068,
         "t": -6.155192154417972,
         "term": "ccode_955.0"
       },
       {
         "ci_high": 284.23474426857456,
         "ci_low": -131.23288260190242,
         "coef": 76.50093083333607,
         "p": 0.46717469148642937,
         "se": 104.86351393061813,
         "t": 0.7295285840216277,
         "term": "ccode_990.0"
       },
       {
         "ci_high": 3.7605462982638236,
         "ci_low": -0.34964775327450104,
         "coef": 1.7054492724946613,
         "p": 0.1029411106201029,
         "se": 1.0374078828418587,
         "t": 1.643952490338497,
         "term": "EV"
       }
     ],
     "first_stage": [
       {
         "ci_high": 0.28607023392200764,
         "ci_low": 0.022620428253513736,
         "coef": 0.1543453310877607,
         "endog": "EV",
         "instrument": "l2CPcol2",
         "p": 0.02205462811336294,
         "se": 0.06649440432900276,
         "t": 2.3211777388678723
       }
     ],
     "reduced_form": [
       {
         "ci_high": 0.5000153719460901,
         "ci_low": 0.02644089328694907,
         "coef": 0.2632281326165196,
         "instrument": "l2CPcol2",
         "p": 0.029664106149156867,
         "se": 0.11952961128193965,
         "t": 2.2022001895047754
       }
     ]
   }

   Digests dos dados

   ref_iv b68d973c40321e6339055454fbd14970ab035474b27737334be32ca22faa6507

   sha256 do resultado

   0fc4c01b79300a720b998a3c88c31b6b912012f4d7406fa4e36e4354c31e23fc

   Resultado mostrado ao modelo
8. 7Turno do modelo
   call_1ba09d5freferenceFim: 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.EV = 1,705. Reference path transcribed from the item's own estimation script.",
       "caveats": [],
       "figure_refs": [
         "call_537d2782:coef.EV"
       ]
     }

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

   Números encontrados

   1,705

   Sem lastro

   —

   Não citados

   —

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

    Estimativa (infer.iv_2sls): coef.EV = 1,705. Reference path transcribed from the item's own estimation script.

    Figuras citadas: call_537d2782:coef.EV · Parada: answered

    Figura da resposta: call_537d2782:coef.EV = 1,705451.7054492724946613 (se 1,037411.0374078828418587)
11. 10Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
12. 11Pontuação
    #1figura da resposta próximapassouobrigatória1.705449272 in [-0.01364828478, 3.424546834]?
13. 12Pontuação
    #2figura da resposta próximapassouregistrada1.705449272 vs 1.7054492745664902
14. 13Pontuação
    #3figura da resposta próximafalhouregistrada1.037407883 vs 0.8770905915013324

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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