1,721,037 research outputs found
Replication Data for Lieberman, Evan and Prerna Singh, "Census Enumeration and Group Conflict: A Global Analysis of the Consequences of Counting," World Politics, January 2017, 1-53.
No full textArticle Abstract: Does the enumeration of ethnic, racial, and/or religious categories on national household censuses increase the likelihood of conflict? The authors propose a theory of intergroup relations that emphasizes the conflictual effects of institutionalizing boundaries between social identity groups. The article investigates the relationship between counting and various forms of conflict with an original, global data set that classifies the type of enumeration used in more than one thousand census questionnaires, in more than 150 countries spanning more than two centuries. Through a series of cross-national statistical analyses, the authors find a robust association between enumeration of ethnic cleavages on the census and various forms of competition and conflict, including violent ethnic civil war. The plausibility of the theory is further demonstrated through case study analysis of religious conflict in India
Replication Data for Lieberman, Evan and Prerna Singh, "Census Enumeration and Group Conflict: A Global Analysis of the Consequences of Counting," World Politics, January 2017, 1-53.
No full textArticle Abstract: Does the enumeration of ethnic, racial, and/or religious categories on national household censuses increase the likelihood of conflict? The authors propose a theory of intergroup relations that emphasizes the conflictual effects of institutionalizing boundaries between social identity groups. The article investigates the relationship between counting and various forms of conflict with an original, global data set that classifies the type of enumeration used in more than one thousand census questionnaires, in more than 150 countries spanning more than two centuries. Through a series of cross-national statistical analyses, the authors find a robust association between enumeration of ethnic cleavages on the census and various forms of competition and conflict, including violent ethnic civil war. The plausibility of the theory is further demonstrated through case study analysis of religious conflict in India
Historical Memories Survey: South African Citizens, Mogale City 2019
No full textData and supporting information for historical memories survey analyzed in Evan Lieberman's, Until We Have Won Our Liberty. The survey was conducted in 2019 following the May 2019 national election in Mogale City Local Municipality, South Africa
Replication Data for Do online newspapers promote or undermine nation‐building in divided societies? Evidence from Africa
No full textReplication data and code to produce tables and figures: Data include scraped newspaper articles and associated comments from Nigeria's the Vanguard online newspaper and South Africa's Sowetan online. See article for further descriptions and consult readme.txt file first
Replication Data for Harell and Lieberman How Information About Race-based Health Disparities Affects Policy Preferences: Evidence from a Survey Experiment About the COVID-19 Pandemic in the United States
No full textReplication data for journal article appearing in Social Science & Medicine: In this article, we report on the results of an experimental study to estimate the effects of delivering information about racial disparities in COVID-19-related death rates. On the one hand, we find that such information led to increased perception of risk among those Black respondents who lacked prior knowledge; and to increased support for a more concerted public health response among those White respondents who expressed favorable views towards Blacks at baseline. On the other hand, for Whites with colder views towards Blacks, the informational treatment had the opposite effect: it led to decreased risk perception and to lower levels of support for an aggressive response. Our findings highlight that well-intentioned public health campaigns spotlighting disparities might have adverse side effects and those ought to be considered as part of a broader strategy. The study contributes to a larger scholarly literature on the challenges of making and implementing social policy in racially-divided societies
Replication data for Does Stigmatized Social Risk Lead to Denialism? Results from a Survey Experiment on Race, Risk Perception, and Health Policy in the United States
No full textIn this article, we report findings from an original survey experiment investigating the effects of different framings of disease threats on individual risk perceptions and policy priorities. We analyze responses from 1,946 white and African-American participants in a self-administered, web-based survey in the United States. We sought to investigate the effects of: 1) frames emphasizing disparities in the racial prevalence of disease and 2) frames emphasizing non-normative (blameworthy or stigmatized) behavioral risk factors. We find some evidence that when treated with the first frame, African-Americans are more likely to report higher risk of infection (compared to an African-American control group and to whites receiving the same treatment); and that whites are more likely to report trust in government data (compared to a White control group and to African-Americans receiving the same treatment). Notwithstanding, we find no support for our hypotheses concerning the interactive effects of providing both frames, which was a central motivation for our study. We argue that this may be due to very large differences in risk perception at baseline (which generate limits on possible treatment effects) and the fact that in the context of American race relations, it may not be possible to fully differentiate racialized and stigmatized frames
Replication data for Does Stigmatized Social Risk Lead to Denialism? Results from a Survey Experiment on Race, Risk Perception, and Health Policy in the United States
No full textIn this article, we report findings from an original survey experiment investigating the effects of different framings of disease threats on individual risk perceptions and policy priorities. We analyze responses from 1,946 white and African-American participants in a self-administered, web-based survey in the United States. We sought to investigate the effects of: 1) frames emphasizing disparities in the racial prevalence of disease and 2) frames emphasizing non-normative (blameworthy or stigmatized) behavioral risk factors. We find some evidence that when treated with the first frame, African-Americans are more likely to report higher risk of infection (compared to an African-American control group and to whites receiving the same treatment); and that whites are more likely to report trust in government data (compared to a White control group and to African-Americans receiving the same treatment). Notwithstanding, we find no support for our hypotheses concerning the interactive effects of providing both frames, which was a central motivation for our study. We argue that this may be due to very large differences in risk perception at baseline (which generate limits on possible treatment effects) and the fact that in the context of American race relations, it may not be possible to fully differentiate racialized and stigmatized frames
Can the Biomedical Research Cycle be a Model for Political Science?
No full textIn sciences such as biomedicine, researchers and journal editors are well aware that progress in answering difficult questions generally requires movement through a research cycle: Research on a topic or problem progresses from pure description, through correlational analyses and natural experiments, to phased randomized controlled trials (RCTs). In biomedical research all of these research activities are valued and find publication outlets in major journals. In political science, however, a growing emphasis on valid causal inference has led to the suppression of work early in the research cycle. The result of a potentially myopic emphasis on just one aspect of the cycle reduces incentives for discovery of new types of political phenomena, and more careful, efficient, transparent, and ethical research practices. Political science should recognize the significance of the research cycle and develop distinct criteria to evaluate work at each of its stages
Nuanced Accountability: Voter Responses to Service Delivery in Southern Africa
No full textVarious theories of democratic governance posit that citizens should vote for incumbent politicians when they provide good service, and vote for the opposition when service delivery is poor. But does electoral accountability work as theorized, especially in developing country contexts? Studying Southern African democracies, where infrastructural investment in basic services has expanded widely but not universally, we contribute a new empirical answer to this question. Analyzing the relationship between service provision and voting, we find a surprising negative relationship: improvements in service provision predict decreases in support for dominant party incumbents. Though stronger in areas where opposition parties control local government, the negative relationship persists even in those areas where local government is run by the nationally dominant party. Survey data provides suggestive evidence that citizen concerns about corruption and ratcheting preferences for service delivery may be driving citizen attitudes and behaviors. Voters may thus be responsive to service delivery, but perhaps in ways that are more nuanced than extant theories previously recognized
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Does Stigmatized Social Risk Lead to Denialism? Results from a Survey Experiment on Race, Risk Perception, and Health Policy in the United States.
No full textIn this article, we report findings from an original survey experiment investigating the effects of different framings of disease threats on individual risk perceptions and policy priorities. We analyze responses from 1,946 white and African-American participants in a self-administered, web-based survey in the United States. We sought to investigate the effects of: 1) frames emphasizing disparities in the racial prevalence of disease and 2) frames emphasizing non-normative (blameworthy or stigmatized) behavioral risk factors. We find some evidence that when treated with the first frame, African-Americans are more likely to report higher risk of infection (compared to an African-American control group and to whites receiving the same treatment); and that whites are more likely to report trust in government data (compared to a White control group and to African-Americans receiving the same treatment). Notwithstanding, we find no support for our hypotheses concerning the interactive effects of providing both frames, which was a central motivation for our study. We argue that this may be due to very large differences in risk perception at baseline (which generate limits on possible treatment effects) and the fact that in the context of American race relations, it may not be possible to fully differentiate racialized and stigmatized frames
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