Politics in American cities is largely driven by racial group cleavages, and voting in urban elections is polarized along racial lines. Several cities have implemented a relatively new reform to urban elections called ranked-choice voting (RCV), which eliminates the plurality run-off election by giving voters the option to rank-order several vote preferences. This article examines whether the expanded preference choices associated with ranked-choice voting reduce the level of racially polarized voting in mayoral elections. In the first stage of analysis, precinct-level election results from Oakland, CA, and San Francisco, CA, are used to explore variation in racially polarized voting before and after the implementation of RCV. The second stage of analysis uses a difference-in-differences design to analyze racially polarized voting in RCV cities compared to non-RCV cities. The results indicate that racially polarized voting did not decrease due to the implementation of RCV. Rather, the results show that RCV contributed to higher levels of racially polarized voting between white and Asian voters.
The adoption of the top two primary system in California is resulting in a rising number of general elections in which candidates from the same party compete. Incidentally, California is also home to a large and diverse Latino community. When party identification is no longer a reliable cue, do Latino voters turn to the race or ethnicity of a candidate in selecting whom to support? We examine co-partisan Republican general elections in California’s state assembly from 2012‒2016. Using surname-matched precinct-level voter data, we conduct ecological inference analysis to estimate support for candidates based on the ethnicity of voters. Taking the case of Latino voters, we find a strong level of support for Latino Republican candidates, suggesting that a candidate’s ethnicity may inform voters’ strategic decision making in partisan elections.
Pakistan, Afghanistan, United States, Japan, China, Indonesia, Malaysia, India, Taiwan, South Korea, North Korea, Vietnam, Philippines, Cambodia, Nepal, Australia, Singapore, Thailand, Hong Kong, Laos, Myanmar, Brunei, and Papua New Guinea