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Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS

This paper introduces software packages for efficiently imputing missing data using deep learning methods in Python (MIDASpy) and R (rMIDAS). The packages implement a recently developed approach to multiple imputation known as MIDAS, which involves …

Who should be first in line for the COVID-19 vaccine? Surveys in 13 countries of the publics preferences for prioritisation

How does the public want a COVID-19 vaccine to be allocated? We conducted a conjoint experiment asking 15,536 adults in 13 countries to evaluate 248,576 profiles of potential vaccine recipients that varied randomly on five attributes. Our sample …

When do voters respond to campaign finance disclosure? Evidence from multiple election types

Information about how campaigns are financed is abundant in the United States, but we have only scratched the surface of how this information affects voter behavior. How does disclosure affect vote choice and how is this effect mediated by partisan …

Direct democracy in representative systems: Understanding breakdowns in responsiveness through ballot initiative success

Policy referendums around the world succeed regularly and on important policy areas. But why do these policies pass by direct democracy and not through the legislature? In this paper, I address this puzzle by focussing on ballot initiative success in …

When should we cluster experimental standard errors?

When researchers suspect that error terms are correlated by group in observational research the standard correction is to cluster the standard errors. But what about in experimental contexts where treatment is randomised? Despite their ubiquity in …