United Nations General Assembly Voting Data
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
United Nations General Assembly Voting Data
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Identifier |
https://doi.org/10.7910/DVN/LEJUQZ
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Creator |
Voeten, Erik
Strezhnev, Anton Bailey, Michael |
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Publisher |
Harvard Dataverse
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Description |
This is a dataset of roll-call votes in the UN General Assembly 1946-2022 (sessions 1-77). Note that most votes take place in the Fall but some votes also occur in the spring of the following year. Note that for the five most recent years, failed votes and votes on amendments and paragraphs have not yet been added. Moreover, "important votes" are also not yet coded for these years. There will be an update to the raw data, likely in the Fall. Note the codebook as there are some issues with dates and other features of the raw data, which are pieced together from numerous sources. The dataset includes issue codes and descriptions. It also contains ideal point estimates derived from these votes as described in Bailey, Michael A., Anton Strezhnev, and Erik Voeten. "Estimating dynamic state preferences from United Nations voting data." Journal of Conflict Resolution 61.2 (2017): 430-456. Code to estimate ideal points and issue ideal points are available at: https://github.com/evoeten/United-Nations-General-Assembly-Votes-and-Ideal-Points. The ideal point estimates are based on sessions, not years. There are also dyadic agreement scores, See the Bailey, Strezhnevr, Voeten article for why these should not be used in most instances.
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Subject |
Law
Social Sciences United Nations roll-calls |
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Date |
2015-08
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Type |
roll-call data
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