The SARS-CoV-2 virus was first identified in Wuhan, China, in late December 2019, and it quickly spread to many countries. By March 2020, the virus had triggered a global pandemic (World Health Organization, 2020). In response to this crisis, governments have implemented unprecedented public health measures. The success of these policies will largely depend on the public's willingness to comply with new rules. A key factor in citizens’ willingness to comply is their understanding of the data that motivate government action. In this study, we examine how different ways of presenting these data visually can affect citizen's perceptions, attitudes and support for public policy.

No abstract

Gender gaps in voter turnout and electoral representation have narrowed, but other forms of gender inequality remain. We examine gendered differences in donations: who donates and to whom? Donations furnish campaigns with necessary resources, provide voters with cues about candidate viability, and influence which issues politicians prioritize. We exploit an administrative data set to analyze donations to Canadian parties and candidates over a 25-year period. We use an automated classifier to estimate donor gender and then link these data to candidate and party characteristics. Importantly, and in contrast to null effects from research on gender affinity voting, we find women are more likely to donate to women candidates, but women donate less often and in smaller amounts than men. The lack of formal gendered donor networks and the reliance on more informal, male-dominated local connections may influence women donors’ behavior. Change over a quarter century has been modest, and large gender gaps persist.

Who runs and is elected is one of the most fundamental questions in political science as it pertains to the issue of descriptive representation. Despite the importance of this issue, until recently there were no longitudinal datasets on candidates in Canadian elections. This article presents two novel datasets including information on all candidates who ran in Canadian federal and Ontario provincial elections from 1867 to 2019. I present how these data were collected and how they can be used to gain new insights. I expect these data will be a valuable resource to Canadian political scientists for both research and teaching purposes.

We study data on the gender of over 21,000 unique candidates in all Canadian federal elections since 1921, when the first women ran for seats in Parliament. This large dataset allows us to compute precise estimates of the difference in the electoral fortunes of men and women candidates. When accounting for party effects and time trends, we find that the difference between the vote shares of men and women is substantively negligible (±0.5 percentage point). This gender gap was larger in the 1920s (±2.5 percentage points), but it is now statistically indistinguishable from zero. Our results have important normative implications: Political parties should recruit and promote more women candidates, because they remain under-represented in Canadian politics, and because they do not suffer from a substantial electoral penalty.