{"attempt":1,"datasets":{"reinsberg_does_earmarked":{"description_shown":"The dataset compiles performance evaluations of 32 international organizations (IOs) from 2009 to 2021, encompassing 64 assessments conducted by the Multilateral Organization Performance Assessment Network (MOPAN). Organizations vary significantly in their funding composition, with some receiving predominantly core contributions that provide operational flexibility, while others rely heavily on earmarked resources that restrict fund usage to specific purposes, sectors, or geographic areas. Due to their specific nature, earmarked funding does not offer flexibility. Thus, there is a possibility that earmarked funding may limit organizational performance. The dataset tracks both short-term and long-term earmarked funding patterns alongside core funding levels. International organizations' performance is given by two metrics: 1) Process performance, the extent to which organizations have rules to plan and manage operations strategically, and 2) outcome performance, which measures the organization's success in achieving desired results.\n\nVariables:\norganization: international organization name\nacronym: organization abbreviation\nyear: assessment year\nmopan: The version of MOPAN methodology used in the assessment (one of 3.0, 3.1, or 3.0*, CA = older version)\nnewmopan: Binary variable that is 1 if the new MOPAN assessment methodology was used\ny1: process performance factor score\ny2: outcome performance factor score\ny1n: process performance factor score after removing 2 micro indicators\ny2n: outcome performance factor score after removing 2 micro indicators\nEMST: earmarked funding share in the year before MOPAN assessment (t-1 year)\nEMLT: earmarked funding share in the years t-2 and t-3 before MOPAN assessment, i.e., 2 and 3 years before\nun: indicator for UN system organizations (1 = UN organization, 0 = non-UN organization)\ncoreSTd: non-core funding amount\ncoreST: core funding amount\nemST: earmarked funding amount\nemST_MBI: earmarked funding amount computed by MOPAN\nemshareLTd: Share of earmarked funding in the IO budget based on data from UN DESA Data\nemshareLTb: Share of earmarked funding in the IO budget based on data from UN Data Cube\nemshareLT: Share of earmarked funding share for long-term projects\nnproj_lt: number of earmarked projects\nndon_lt: number of donors providing earmarked funding\nstates_num: number of member states\nstates_unga_sd: standard deviation of the preferences of the member states with respect to ideal point estimates\ntenure: executive head tenure length\nselectorate: Variable indicating how the executive is selected (1 = appointed by the chief of parent organization, 2 = selected by the board, 3 = chosen by the assembly of member states)\nfounding: organization founding year\nhq: headquarters location\nfield_presence: number of staff in the field\nstaff_count: total staff size\nnormio: indicator for norm-making IOs: FAO, ILO, UNESCO, UNHCR, UNIDO, WHO, GEF\nlnsectors: logarithm of the number of sectors in which the organization receives donor funding\nmeanwSIM: weighted mean cosine similarity of sector-specific contribution profile, which is proportional to the total budget of the IOs","file_sha256":"c6e6f76a45840b38e6b9ab7ca8618731926c8df7c3c57d54ce2a34d8d362f330","frame_sha256":null,"role":"agent","transforms":[]}},"epoch":1,"event":"sample_init","question":"How much does earmarked funding affect the performance of international organisations?","question_sha256":"63c8f698507baa0cd8196736c58fe842e2cc87f32dc6b337ee0d51344418274e","run_id":"20261015T171142Z-suite-causcibench_real-naive-d6494d","seq":0,"skills":[],"task_id":"causcibench_real.q150","task_sha256":"2f99073863d349754f552179d57a358119c8ac3f02ba36d09353ad724a5581e0","timestamp":"2026-10-15T17:11:46.436251Z"}
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