Tarefa crb_papers.q063
crb_papersagentT2publicépoca 1, tentativa 1Execução: 20261015T170925Z-suite-crb_papers-scripted-2dbcf5Veredito
Família do método (das chamadas de ferramentas): Variáveis instrumentais por mínimos quadrados em dois estágios (MQ2E) · infer.iv_2sls (iv · mínimos quadrados em dois estágios)
coef.EV =1,705451.7054492724946613coef.EV =[-0.013648284776121233,3.4245468339091016]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?
Estimativa (infer.iv_2sls): coef.EV = 1,705. Reference path transcribed from the item's own estimation script.
Como o agente resolveu e como foi validado
Resumo passo a passo do que o agente executou, por que o caminho está correto e como cada verificação conferiu o resultado.
- 1Preparação da base de dados
ds_0033— | 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.ref_ivTransformação "select" aplicada à base "ref_iv" (1792 → 1792 linhas).{"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"]}Transformação "dropna" aplicada à base "ref_iv" (1792 → 1792 linhas).{"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"]}Transformação "dummies" aplicada à base "ref_iv" (1792 → 1792 linhas).{"column":"year","drop_first":true,"prefix":"year"}Transformação "dummies" aplicada à base "ref_iv" (1792 → 1792 linhas).{"column":"ccode","drop_first":true,"prefix":"ccode"} - 2Chamada que gerou a resposta finalVer chamada call_dfd673df nos detalhes
infer.iv_2sls(Variáveis instrumentais por mínimos quadrados em dois estágios (MQ2E))citada na respostacoincide com a referênciaIV2SLS(new_empinxavg, 1 + controls - covdemregionF + C(year) + C(ccode), EV, l2CPcol2); one of the two cluster dimensions
Por que este é o caminho de referência: IV2SLS(new_empinxavg, 1 + controls - covdemregionF + C(year) + C(ccode), EV, l2CPcol2); one of the two cluster dimensionsArgumentos principais- 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
0.95 - se:
"HC1"- y:
"new_empinxavg"
Resultado calculadocoef.EV= 1,705451.70544927249466132SLS effect of EV on new_empinxavg
Diagnósticos:first_stage_F.EV= 5,387875.3878660954157676(Wald F of the excluded instruments in the first stage for EV (cluster-robust standard errors (CR1) by 'ccode'); below 10: weak instrument, the estimate and its interval are unreliable) ·partial_r2.EV= 0,002739180.002739183987464755(share of the variation the instruments explain beyond the controls) ·weak_instrument=true(at least one first-stage F is below 10) ·n_obs= 1.7921792·se_type="cluster"(cluster-robust standard errors (CR1) by 'ccode') ·n_clusters= 115115(115 clusters of 'ccode') - 3Conferência de lastro e resposta final
Todos os 1 números escritos na resposta foram conferidos contra as ferramentas e o enunciado (nenhum número sem lastro).
Números encontrados:1,705Figuras citadas:call_dfd673df:coef.EV- #0resposta com lastroevery number traced to a tool call or the question
- #1figura da resposta próximaCRB estimate_within_solution_ci: the answer figure inside the gold 95% interval effect ± 1.96·|SE| of source crb_papers.q063.gold (closed, evaluate_result.py; no --auto-rescale)
- #2figura da resposta próximareplication cell: the gold effect to rel 1e-6 (abs floor 1e-6·SE); never required
- #3figura da resposta próximareplication cell: the gold SE to rel 1e-6; never required
Aprofundamento técnico para especialistas
Acesso direto às fontes primárias, tabela formal de verificações, comparação de argumentos, trajetória completa com prompts brutos e somas SHA-256.
Valores esperados e de onde vêm
crb_papers.q063.gold
- Fonte
- CausalReasoningBenchmark, causal_queries.json, index 63 (revision edd0fe1c1d1c)
- Tipo
- benchmark_gold
- Localização
- causal_queries.json['63'].effect and .standard_error
- Trecho
index 63: effect 1.70545, standard_error 0.877091
- Valor como publicado
1.7054492745664902- Erro-padrão como publicado
0.8770905915013324- Valor
- 1,70545
1.7054492745664902(se 0,8770910.8770905915013324) - Conferido por
- arquivo do benchmark · Read from the catalog at the pinned revision by scripts/freeze_crb_papers.py; the catalog states the value its estimation script prints.
- Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/causal_queries.json- Licença
- MIT
- #2 figura da resposta próxima: 1,70545
1.7054492745664902· relativa 0.000001 · absoluta 8.770905915013323e-7 - #3 figura da resposta próxima: 0,877091
0.8770905915013324· relativa 0.000001 · absoluta 8.770905915013323e-7
crb_papers.q063.script
- Fonte
- CausalReasoningBenchmark reference estimation script for index 63
- Tipo
- software
- Localização
- solutions/research_papers/IV/Carnegie2017/question/estimation.py
- Valor
- —
- Conferido por
- arquivo do benchmark · sha256 of the script's 1957 bytes at the pinned revision; the reference path of the item is a transcription of this script into typed transforms and tool calls (never executed here).
- Implementação
- independente da ferramenta
- sha256 da cópia lida
4eea160dbbebc187010e806862792d0a7901b8831801132dfe104964f9057067(identifica a cópia lida, não um arquivo canônico)- Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/IV/Carnegie2017/question/estimation.py- Licença
- MIT
Especificação técnica do gabarito
CausalReasoningBenchmark gold at the pinned revision: causal_queries.json effect and standard_error (the value the item's estimation.py prints), scored as evaluate_result.py scores estimate_within_solution_ci
Verificações
| # | Verificação | Obrigatória | Resultado | Esperado | Observado | Tolerância | Fonte | Chamada |
|---|---|---|---|---|---|---|---|---|
| 0 | resposta com lastro every number traced to a tool call or the question every number backed | obrigatória | passou | 0 sem lastro | 0 sem lastro[] | — | — | — |
| 1 | figura da resposta próxima CRB estimate_within_solution_ci: the answer figure inside the gold 95% interval effect ± 1.96·|SE| of source crb_papers.q063.gold (closed, evaluate_result.py; no --auto-rescale) 1.705449272 in [-0.01364828478, 3.424546834]? | obrigatória | passou | [-0.013648284776121233,3.4245468339091016] | 1,705451.7054492724946613 | interval · [-0.013648284776121233, 3.4245468339091016] | — | call_dfd673df |
| 2 | figura da resposta próxima replication cell: the gold effect to rel 1e-6 (abs floor 1e-6·SE); never required 1.705449272 vs 1.7054492745664902 | registrada | passou | 1,705451.7054492745664902 | 1,705451.7054492724946613 | relativa 0.000001 · absoluta 8.770905915013323e-7 | crb_papers.q063.gold | call_dfd673df |
| 3 | figura da resposta próxima replication cell: the gold SE to rel 1e-6; never required 1.037407883 vs 0.8770905915013324 | registrada | falhou | 0,8770910.8770905915013324 | 1,037411.0374078828418587 | relativa 0.000001 · absoluta 8.770905915013323e-7 | crb_papers.q063.gold | call_dfd673df |
Caminho de referência e caminho do agente
A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.
caminho de referência do item · benchmark_script
| Argumento | Referência | Agente | |
|---|---|---|---|
| cluster | "ccode" | "ccode" | igual |
| dataset | "ref_iv" | "ref_iv" | igual |
| endog | ["EV"] | ["EV"] | igual |
| 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"] | ["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"] | igual |
| instruments | ["l2CPcol2"] | ["l2CPcol2"] | igual |
| level | — | 0,950.95 | não fixado pela referência |
| se | — | "HC1" | não fixado pela referência |
| subset | — | — | não fixado pela referência |
| y | "new_empinxavg" | "new_empinxavg" | igual |
Pendências do caminho de referência: needs_op:two_way_cluster
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 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.
file12fb375d5f7bc7882d97ba1cfcbbdb3f0d005e988762d4b8c98a6a8d00133974· frame —ref_iv(reference)file12fb375d5f7bc7882d97ba1cfcbbdb3f0d005e988762d4b8c98a6a8d00133974· frame —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"]}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"]}dummies{"column":"year","drop_first":true,"prefix":"year"}dummies{"column":"ccode","drop_first":true,"prefix":"ccode"}
- 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 linhasFrame antes → depois:b0d30cde4dfd→7803eba1e9d9 - 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 linhasFrame antes → depois:7803eba1e9d9→7803eba1e9d9 - 3Transformação
ref_iv·dummies{"column":"year","drop_first":true,"prefix":"year"}1792 → 1792 linhasFrame antes → depois:7803eba1e9d9→9327a8ce09e7 - 4Transformação
ref_iv·dummies{"column":"ccode","drop_first":true,"prefix":"ccode"}1792 → 1792 linhasFrame antes → depois:9327a8ce09e7→b68d973c4032 - 5Turno do modelo
call_6a32c981referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelIV2SLS(new_empinxavg, 1 + controls - covdemregionF + C(year) + C(ccode), EV, l2CPcol2); one of the two cluster dimensions
Chamadas pedidasinfer.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" }
- 6Ferramenta
infer.iv_2sls— Variáveis instrumentais por mínimos quadrados em dois estágios (MQ2E)v0.1.0call_dfd673dfdecidido pelo modeloreexecutávelMotivo: 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_dfd673df Chave Valor Valor bruto Erro-padrão IC coef.EV 2SLS effect of EV on new_empinxavg1,70545 1.70544927249466131,03741 1.0374078828418587-0,349648 – 3,76055 Diagnósticosfirst_stage_F.EV= 5,387875.3878660954157676(Wald F of the excluded instruments in the first stage for EV (cluster-robust standard errors (CR1) by 'ccode'); below 10: weak instrument, the estimate and its interval are unreliable)partial_r2.EV= 0,002739180.002739183987464755(share of the variation the instruments explain beyond the controls)weak_instrument=true(at least one first-stage F is below 10)n_obs= 1.7921792se_type="cluster"(cluster-robust standard errors (CR1) by 'ccode')n_clusters= 115115(115 clusters of 'ccode')
Derivação matemática e pressupostos
coef.EV- Com um instrumento e um regressor endógeno, o MQ2E é a razão entre o coeficiente de l2CPcol2 na forma reduzida (new_empinxavg sobre l2CPcol2 e os controles) e no primeiro estágio (EV sobre l2CPcol2 e os controles).
β = ρ / π→ 1,70545 (1.7054492724946613) - Erro-padrão robusto por conglomerado (CR1): a raiz da variância estimada do coeficiente.
ep = √V_jj→ 1,03741 (1.0374078828418587) - Intervalo de 95% de confiança: a estimativa mais ou menos o valor crítico da distribuição t de Student com 114 graus de liberdade vezes o erro-padrão.
IC = β ± c · ep
Pressupostos do estimador- the instruments affect the outcome only through the endogenous regressors (exclusion restriction)
- the instruments are as good as randomly assigned given the controls
- errors are independent across clusters of 'ccode' and may be correlated within them
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" }, { "ci_high": 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"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 } ] }Hashes SHA-256 e metadados de reprodução
- Digests dos dados
ref_ivb68d973c40321e6339055454fbd14970ab035474b27737334be32ca22faa6507- sha256 do resultado
d1cd66f8ba1deb5e471d91753229831d718d7560aa8191d5cfb4705e9e43c298
- 7Turno do modelo
call_50744b2freferenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_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_dfd673df:coef.EV" ] }
- 8Guardaresposta aceita
- Números encontrados
- 1,705
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 9Resposta
Estimativa (infer.iv_2sls): coef.EV = 1,705. Reference path transcribed from the item's own estimation script.
Figuras citadas:call_dfd673df:coef.EV· Parada:answeredFigura da resposta:call_dfd673df:coef.EV= 1,705451.7054492724946613(se 1,037411.0374078828418587) - 10Pontuação#0resposta com lastropassouobrigatória
every number backed - 11Pontuação#1figura da resposta próximapassouobrigatória
1.705449272 in [-0.01364828478, 3.424546834]? - 12Pontuação#2figura da resposta próximapassouregistrada
1.705449272 vs 1.7054492745664902 - 13Pontuação#3figura da resposta próximafalhouregistrada
1.037407883 vs 0.8770905915013324
Épocas × verificações
| # | 0 | 1 | 2 | 3 |
|---|---|---|---|---|
| Época 1 | passou | passou | passou | falhou |
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
3bfc3dd36ede9407ba7b1fa81a1fd55c2faa0dfe4f0eba700c48613a3a311162O hash de um zip é só de transporte: o que ancora a integridade é o RUN_SHA256SUMS que vai dentro dele, cópia exata do SHA256SUMS da execução.
| Arquivo | Tamanho | sha256 |
|---|---|---|
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| sources/crb_papers.q063.gold.json | 1,1 KB | 7c8e3d458866845846b06cce059f40852892bd448963218ea46387bdbb5c4ec9 |
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| specs/crb_papers.q063.json | 15,5 KB | 69626777482b604972d9690f5a5fbcaaa281281efda7d795ba0c3922a2012f24 |
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