More Inclusive States,Less Poverty Among Immigrants? An Examination of Poverty,Citizenship Stratification,and State Immigrant Policies

Over the last 20 years, policymaking related to immigrant populations has increasingly been conducted at the state-level. State immigrant polices may influence immigrant poverty by determining immigrants’ level of access to social, economic, political, and health resources and by shaping the social environment. Further, these immigrant policies may shape the stratification between citizens and noncitizens, potentially contributing to distinct patterns of disparities in poverty by both citizenship and race/ethnicity. To assess the relationship between immigrant policy and socioeconomic stratification of immigrants across citizenship status and race/ethnicity in the U.S., we combined data from the 2014 American Community Survey and a measure of level of inclusion of state immigrant policies. We estimated fixed-effects logistic regressions to test the associations between poverty and the interaction of level of inclusiveness, citizenship, and race/ethnicity, controlling for state- and individual-level characteristics. Results showed that there are significant disparities in poverty by citizenship status and race/ethnicity. Asian/Pacific Islander (API) noncitizens experienced lower levels of poverty in states with higher levels of inclusion. Both Latino and API citizens experienced lower levels of poverty in states with higher versus lower levels of inclusion. Among Latinos, the gap in poverty rates between noncitizens and citizens is larger in more inclusive than less inclusive ones, suggesting that the potential positive impact of more inclusive environments does not necessarily translate to the most vulnerable Latino group. The level of inclusion was not associated with differences among Whites and Blacks. Findings suggest that states with more inclusive immigrant policies may foster environments that advance the economic well-being of API noncitizens, as well as API and Latino citizens.     

PROPERTY RIGHTS AND LOSS AVERSION IN CONTESTS

We analyze the effects of property rights and the resulting loss aversion on contest outcomes. We study three situations: in “gain” two players start with no prize and make sunk bids to win a prize; in “loss” both the players start with prizes and whoever loses the contest loses their prize; and in “mixed” only one player starts with a prize that stays with him if he wins, but is transferred to the rival otherwise. Since the differences among the treatments arise only from framing, the expected utility and the standard loss aversion models predict no difference in bids across treatments. We introduce a loss aversion model in which the property rights are made salient, and as a result the reference point varies across treatments. This model predicts average bids in descending order in the loss, the mixed, and the gain treatment; and higher bids by the player with property rights in the mixed treatment. The results from a laboratory experiment broadly support these predictions. There is no significant difference in bids in the loss (gain) treatment and bids by property rights holder (nonholder) in the mixed treatment. A model incorporating both loss aversion and social preferences explains this result. (JEL C91, C72, D23, D74)     

Character work in social movements

Social movements carry out extensive character work, trying to define not only their own reputations but those of other major players in their strategic arenas. Victims, villains, and heroes form the essential triad of character work, suggesting not only likely plots but also the emotions that audiences are supposed to feel for various players. Characters have been overlooked in cultural analysis, possibly because they often take visual, non-narrative forms. By focusing on characters within movements, we illuminate some cultural dilemmas that both organizers and their opponents face as they try to influence players’ reputations.     

Note on power propagation time and lower bounds for the power domination number

We present a counterexample to a lower bound for the power domination number given in Liao (J Comb Optim 31:725–742, 2016). We also define the power propagation time, using the power domination propagation ideas in Liao and the (zero forcing) propagation time in Hogben et al. (Discrete Appl Math 160:1994–2005, 2012).     

Establishing symmetric connectivity in directional wireless sensor networks equipped with $$2\pi /3$$ antennas

In this paper, we study the antenna orientation problem concerning symmetric connectivity in directional wireless sensor networks. We are given a set of nodes each of which is equipped with one directional antenna with beam-width \(\theta = 2\pi /3\) and is initially assigned a transmission range 1 that yields a connected unit disk graph spanning all nodes. The objective of the problem is to compute an orientation of the antennas and to find a minimum transmission power range \(r=O(1)\) such that the induced symmetric communication graph is connected. We propose two algorithms that orient the antennas to yield symmetric connected communication graphs where the transmission power ranges are bounded by 6 and 5, which are currently the best results for this problem. We also study the performance of our algorithms through simulations.     

Predicting Undergraduate Student Retention in STEM Majors Based on Career Development Factors

A research gap exists with regard to examining the influence of career interventions and career readiness assessments on student retention in college majors related to science, technology, engineering, and mathematics (STEM). To address this gap, the authors examined 3 variables as potential predictors of retention in STEM‐related majors: (a) a STEM‐focused career planning intervention, (b) students' initial major declarations, and (c) changes in scores on a measure of career readiness. Results revealed that all 3 independent variables were significant predictors of STEM retention but did not accurately predict students who would not be retained. These results have implications for undergraduate STEM initiatives, college counselors and career advisors, and researchers investigating the predictors of STEM retention. Future research should include additional predictor variables.     

Exploring trust and distrust as conceptually and empirically distinct constructs: Association with symmetrical communication and public engagement across four pairings of trust and distrust

Existing relationship research has interpreted low trust as being equivalent to high distrust and high trust as the evidence of low distrust, which has failed to capture the full scope of the functions of trust and distrust in organization–public relationships. Recent research in this area suggests that trust and distrust might simultaneously exist during relational interactions and might play uniquely positive and negative functions in certain social contexts. The main purpose of this study was to offer a new insight in trust–distrust research by providing distinctions in conceptualization and operationalization between trust and distrust. This study also empirically tested the functions of four pairings of trust and distrust on two core public relations concepts (i.e., symmetrical communication and public engagement). The results from the surveys (N = 704; in 20 companies) of US consumers showed sound discriminant validity of trust and distrust. Further, the statistical results revealed that symmetrical communication and public engagement were most strongly associated with the high trust and high distrust pairing, supporting the utilities of distrust in public relations and the coexistence of trust and distrust in social interactions.