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Replication Data for: Descriptive Representation and Innovation in American Legislatures

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Mendeley Data2024-01-31 更新2024-06-28 收录
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https://dataverse.unc.edu/citation?persistentId=doi:10.15139/S3/MOO24J
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Previous scholarship has linked increased representation of women, racial/ethnic minorities, the LGB community, and the working class to more representative legislative agendas and roll call voting. But it is unclear if descriptive representation of historically excluded groups also affects policy innovativeness. Borrowing from interdisciplinary research, we argue that diverse legislatures are more innovative, so long as legislators operate in a quality deliberative environment. We measure the descriptive representation of seven different underrepresented groups in state legislatures from 1984-2016. We find that representation of women is a key predictor of innovation, operationalized as the tendency for states to adopt new policies early. We also find the effect of women is not dependent on critical mass, is undermined by high levels of polarization, and helps boost the capacity of legislatures to produce unique policy language. Some models are suggestive of a relationship between racial/ethnic minority (Black, Latinx, Native American) representation and innovation, but the results are inconsistent. The study provides insights into how representation of women can enhance legislative capacity to innovate in public policy.
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2024-01-31
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