{"attempt":1,"datasets":{"rebeira_does_rising":{"description_shown":"This dataset aims to study the effect of income inequality on mortality rates for men and women in a subset of OECD countries from 1950 to 2000 using adult mortality rates at age sixty-five as the measure of mortality. Likewise, for measuring income inequality, the inverted Pareto-Lorenz coefficient was used. The coefficient is directly obtained from the World Top Income Database. More specifically, the measure was derived from individual taxation and income data as well as national account statistics. The Pareto-Lorenz coefficient ranges from 1.5 to 3. Values in the range of 1.5 to 1.8 are considered low inequality, while values above 2.5 are considered high inequality.\n\nData variables:\nyear: Year observation was taken\ncc: Country code\nqxall: Averaged rate between qxfemale and qxmale\nqxfemale: Five-year mortality rate for females at age sixty-five (the probability of dying within 5 years for 65-year-old women)\ninvertedplc: Inverted Pareto-Lorenz coefficient (measure of income inequality at the top end of distribution, ranging from ~1.5-3)\nexfemale: Life expectancy for females at age 65\nqxmale: Five-year mortality rate for males at age sixty-five (the probability of dying within 5 years for 65-year-old men)\nexmale: Life expectancy for males (at age 65)\ncountry: Country name\nrgdpe: Real GDP obtained from Penn World Table; values adjusted for purchasing power parity\npop: Population (in millions)\nhc: Health capital index - a measure capturing educational attainment that serves as a proxy for human capital stock\nrpcgdp: Real per capita GDP - GDP per person adjusted for purchasing power parity","file_sha256":"a45e6b911277627d6b75a1c955aef5765405b77452b959c26188af44c238bd91","frame_sha256":null,"role":"agent","transforms":[]}},"epoch":1,"event":"sample_init","question":"Does a greater inequality in income lead to a higher average mortality rate among males and females?","question_sha256":"aa2cb7ee30b7bd5c91837859edc3b18a1c9664e3ce6baefd6d8d9bfe285bbabb","run_id":"20261015T171142Z-suite-causcibench_real-naive-d6494d","seq":0,"skills":[],"task_id":"causcibench_real.q108","task_sha256":"c798a4b8e0b2a76809f2e597b0948f67a9707cbbf604d7c25b5b029f7e3e8a47","timestamp":"2026-10-15T17:11:44.773789Z"}
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