Varieties of Clientelism: Machine Politics during Elections

Although many studies of clientelism focus exclusively on vote buying, political machines often employ diverse portfolios of strategies. We provide a theoretical framework and formal model to explain how and why machines mix four clientelist strategies during elections: vote buying, turnout buying, abstention buying, and double persuasion. Machines tailor their portfolios to the political preferences and voting costs of the electorate. They also adapt their mix to at least five contextual factors: compulsory voting, ballot secrecy, political salience, machine support, and political polarization. Our analysis yields numerous insights, such as why the introduction of compulsory voting may increase vote buying, and why enhanced ballot secrecy may increase turnout buying and abstention buying. Evidence from various countries is consistent with our predictions and suggests the need for empirical studies to pay closer attention to the ways in which machines combine clientelist strategies.     

Comparing and Combining List and Endorsement Experiments: Evidence from Afghanistan

List and endorsement experiments are becoming increasingly popular among social scientists as indirect survey techniques for sensitive questions. When studying issues such as racial prejudice and support for militant groups, these survey methodologies may improve the validity of measurements by reducing nonresponse and social desirability biases. We develop a statistical test and multivariate regression models for comparing and combining the results from list and endorsement experiments. We demonstrate that when carefully designed and analyzed, the two survey experiments can produce substantively similar empirical findings. Such agreement is shown to be possible even when these experiments are applied to one of the most challenging research environments: contemporary Afghanistan. We find that both experiments uncover similar patterns of support for the International Security Assistance Force (ISAF) among Pashtun respondents. Our findings suggest that multiple measurement strategies can enhance the credibility of empirical conclusions. Open‐source software is available for implementing the proposed methods.     

Exploring the perceived extent of and citizens' support for consumer racial profiling: Results from a national poll

Using data from a national Gallup poll, this article examines several hypotheses related to citizens' perceptions regarding the prevalence of consumer racial profiling (CRP) in the retail setting in America, as well as their support for the practice. The oversampling of Black and Hispanic respondents allowed for analyses that tested for racial differences in perceptions concerning the extent of CRP, and also for racial differences in the support for the use of CRP. The multivariate analysis found that Blacks were more likely than Hispanics and Whites to believe that CRP was widespread; there were no differences in the views of residents from urban and suburban areas; there were no differences between racial and ethnic groups regarding whether profiling was justified; and the more liberal the respondents were, the more likely they felt CRP was widespread and not justified. The authors also discuss the implications of these findings and present some future directions for CRP research.     

Spousal violence in Bangladesh as reported by men: prevalence and risk factors

To study risk factors for perpetration of spousal violence among men in Bangladesh, self-reported Demographic and Health Surveys data from 2,780 married men using bivariate and multivariate techniques are analyzed. Of the respondents, 74% report having ever been violent toward their wives; 37% report violence in the past year. Nonnormative behaviors increase the risk for violence: Men who marry more than once, men who use drugs, and men who are unfaithful to their wives are all significantly more likely to report violence against their spouses. Egalitarian attitudes toward women do not decrease the risk for violence. However, attitudes explicitly about wife-beating are the strongest predictor of violence: Men who believe wife-beating is acceptable are more than 4 times as likely to report recent violence against their wives. While men's self-reports of spousal violence indicate that wife-beating is prevalent in Bangladesh, the results indicate opportunities for programmatic intervention.     

Overestimating Self-Blame for Stressful Life Events and Adolescents’ Latent Trait Cortisol: The Moderating Role of Parental Warmth

Journal of Youth and Adolescence - Cognitive interpretations of stressful events impact their implications for physiological stress processes. However, whether such interpretations are related to...