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While bilinguals frequently mix languages in everyday conversation, these hybrid language practices have often been viewed from a deficit perspective, particularly in classroom contexts. However, an emerging literature documents the complexity of hybrid language practices and their usefulness as an academic and social resource for bilingual students. This chapter examines hybrid language practices among English- and Spanish-speaking high school students in an astronomy/oceanography classroom in southern Arizona. Microethnography, or fine-grained analysis of video recordings from long-term ethnographic observation, is used to reveal what bilingual students accomplished with hybrid language practices in the classroom and to outline implications for teachers who want to engage their students’ hybrid repertoires. Specifically, the analyses reveal that careful attention to hybrid language practices can provide teachers with insights into students’ academic learning across linguistic codes, their use of language mixing for particular functions, and their beliefs about language and identity. The research is necessarily limited in scope because such in-depth analysis can only be done with a very small amount of data. Nevertheless, the findings affirm that hybrid language practices can enrich classroom discourse, academic learning, and social interaction for emergent bilinguals. The chapter highlights a teacher’s story in order to offer practical guidance to other teachers who seek to capitalize on the promise of hybrid language practices in their own classrooms.

The European Union (EU) is not a state, though it has some statelike attributes; it is not an empire, though it includes many former European imperial powers; and it is not a federation, though Euro-federalists seek to make it one. There is, however, no need to argue that the Union is a singularity, nor to invent novel terminology, such as that deployed by “neo-functionalists” and “intergovernmentalists” to capture its legal and political form. The EU is a confederation, but with consociational characteristics in its decision-making styles. This conceptualization facilitates understanding and helps explain the patterns of crises within the Union.

The variance targeting estimator (VTE) for generalized autoregressive conditionally heteroskedastic (GARCH) processes has been proposed as a computationally simpler and misspecification-robust alternative to the quasi-maximum likelihood estimator (QMLE). In this paper we investigate the asymptotic behavior of the VTE when the stationary distribution of the GARCH process has infinite fourth moment. Existing studies of historical asset returns indicate that this may be a case of empirical relevance. Under suitable technical conditions, we establish a stable limit theory for the VTE, with the rate of convergence determined by the tails of the stationary distribution. This rate is slower than that achieved by the QMLE. The limit distribution of the VTE is nondegenerate but singular. We investigate the use of subsampling techniques for inference, but find that finite sample performance is poor in empirically relevant scenarios.

Homelessness has many causes and also is stigmatized in the United States, leading to much misunderstanding of its causes and what policy solutions may ameliorate the problem. The problem is of course getting worse and impacting many communities far removed from the West Coast cities the authors examine in this study. This analysis examines the socioeconomic variables influencing homelessness on the West Coast in recent years. The authors utilize a panel fixed effects model that explicitly includes measures of healthcare access and availability to account for the additional health risks faced by individuals who lack shelter. The authors estimate a spatial error model (SEM) in order to better understand the impacts that systemic shocks, such as the COVID-19 pandemic, have on a variety of factors that directly influence productivity and other measures of welfare such as income inequality, housing supply, healthcare investment, and homelessness.