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Social and task groups need a few high-status members who can be leaders and trend setters, and many more lower-status members who can follow and contribute work without challenging the group's direction (Caporael (1997). Personality and Social Psychology Review, 1, 276–298; Caporael & Baron (1997). In: J. Simpson, & D. Kenrick (Eds), Evolutionary social psychology (pp. 317–343). Hillsdale, NJ: Lawrence Erlbaum; Brewer (1997). In: C. McGarty, & S.A. Haslam (Eds), The message of social psychology: Perspectives on mind in society (pp. 54–62). Malden, MA: Blackwell). When groups come together without a priori status differentiation, a status hierarchy must be implemented; however, if the new members are too homogeneously status seeking, then it is not clear what will result. We argue that hierarchy will develop even in uniformly status-seeking groups, and that the social context and members’ relational characteristics – specifically, the degree to which they are group oriented rather than self-serving – will predict which status seekers succeed in gaining status. We discuss why and how a “status sorting” process will occur to award status to a few members and withhold it from most, and the consequences of this process for those who are sorted downward.

The theory of third order inference is a theory of how cultural beliefs influence individuals' decisions under conditions of interdependence and uncertainty. In this study, I build on prior work extending the theory to the role of third order information on social trust in public goods dilemmas. Namely, I argue that when second order information on the beliefs of those relevant to the group task are present, this information should influence decision-making over first and third order.

I test this argument in an experimental public goods game. After measuring first order social trust, participants are randomly sorted into one of four conditions – two that pair third and second order information on social trust as parallel and two that pair them as in conflict.

The results suggest that in the presence of second order information on social trust, third order information doesn't have an effect on cooperation.

The study extends the theory of third order inference to understanding the role of social trust at the first, second, and third levels in public goods dilemmas. It puts second order information in competition with third order in predicting cooperation. It suggests that resolving the uncertainty over the second order beliefs of a collective is key to preventing inefficient equilibriums when second and third order beliefs conflict.

This chapter investigates the impact of different state correlation assumptions for out-of-sample performance of unobserved components (UC) models with stochastic volatility. Using several measures of US inflation the author finds that allowing for correlation between inflation’s trend and cyclical (or gap) components is a useful feature to predict inflation in the short run. In contrast, orthogonality between such components improves the out-of-sample performance as the forecasting horizon widens. Accordingly, trend inflation from orthogonal trend-gap UC models closely tracks survey-based measures of long-run inflation expectations. Trend dynamics in the correlated-component case behave similarly to survey-based nowcasts. To carry out estimation, an efficient algorithm which builds upon properties of Toeplitz matrices and recent advances in precision-based samplers is provided.

This chapter examines the connections between systemic police terror, solidarity, collective consciousness, emotion work, and negative health outcomes for black Americans. While much social science and criminological research has focused on police brutality and the black male without much consideration of the collective effects of police violence on communities of color, we shift the conversation from brutality to systemic terror by incorporating the cumulative and collective effects policing has on communities of color, beyond those directly victimized via interactions with the police. In this chapter, we introduce and theorize about the deeper connections between policing, black communities, and emotional labor and the relationship(s) these factors have on negative health outcomes.