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The authors propose to estimate a varying coefficient panel data model with different smoothing variables and fixed effects using a two-step approach. The pilot step estimates the varying coefficients by a series method. We then use the pilot estimates to perform a one-step backfitting through local linear kernel smoothing, which is shown to be oracle efficient in the sense of being asymptotically equivalent to the estimate knowing the other components of the varying coefficients. In both steps, the authors remove the fixed effects through properly constructed weights. The authors obtain the asymptotic properties of both the pilot and efficient estimators. The Monte Carlo simulations show that the proposed estimator performs well. The authors illustrate their applicability by estimating a varying coefficient production frontier using a panel data, without assuming distributions of the efficiency and error terms.

The onset of the COVID-19 pandemic certainly exacerbated the teacher shortage in the United States for all racial/ethnic groups, but especially for Black teachers. Black teachers account for 7–8% of the total teacher population and this percentage is the direct result of decades of systemic and structural barriers set against Black teachers in the form of racism. Still, Black teachers who enter the profession do so with the willingness to support all students and uplift Black students who often go years without seeing a teacher that looks like them. Black teachers often face different expectations than their white counterparts and these expectations, without the proper support, lead to Black teachers burning out at higher rates. In an effort to understand Black teachers' and the experiences that contribute them remaining in the classroom, the researchers explored Black teachers' working conditions through a phenomenological approach. The findings of this study suggest that Black teachers deserve working conditions that nurture who they are culturally and professionally, that reject actions of oppression toward them – both implicitly and explicitly, and offer spaces for Black teachers to be authentically heard.

In recent years, the relationship between Manchester United fans and their club has been put under the spotlight due to the contentious relationship between the fanbase and the club’s American owners, the Glazer family. However, the commercialisation of Manchester United and their ramping up of their associated brand accelerated massively during the 1990s, as a result of the coincident timing of the country’s glamour club returning to dominance during a period of ever-greater financial returns for top-flight success. As the undoubted commercial trailblazers in English football (and the first English club to be listed on the Stock Exchange), analysing their development during the 1990s is, arguably, the best way of understanding how and why top-flight football clubs operate the way they do and, in a knock-on effect on the league’s competitiveness, why the clubs below them can so easily fall away.

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.

Myra Hindley is typically described as an ‘icon of evil’. In the 1960s, Hindley and her boyfriend Ian Brady sexually tortured and murdered at least two girls and three boys, aged between 10 and 17 years, in the Manchester area of the UK. All except one were sexually assaulted. She has provoked a huge amount of public commentary for more than three and a half decades after her conviction. This chapter asks how Hindley's actions were understood and interpreted at the time. Central themes are the concept ‘evil’, sexual violence, pornography, permissive society and patriarchy, as refracted through gender and class.

First-generation college students in the United States are a unique demographic that is often characterized by the institutions that serve them with a risk-laden and deficit-based model. However, our analysis of the transcripts of open-ended, semi-structured interviews with 22 “first-gen” respondents suggests they are actively deft, agentic, self-determining parties to processes of identity construction that are both externally imposed and potentially stigmatizing, as well as exemplars of survivance and determination. We deploy a grounded theory approach to an open-coding process, modeled after the extended case method, while viewing our data through a novel synthesis of the dual theoretical lenses of structural and radical/structural symbolic interactionism and intersectional/standpoint feminist traditions, in order to reveal the complex, unfolding, active strategies students used to make sense of their obstacles, successes, co-created identities, and distinctive institutional encounters. We find that contrary to the dictates of prevailing paradigms, identity-building among first-gens is an incremental and bidirectional process through which students actively perceive and engage existing power structures to persist and even thrive amid incredibly trying, challenging, distressing, and even traumatic circumstances. Our findings suggest that successful institutional interventional strategies designed to serve this functionally unique student population (and particularly those tailored to the COVID-moment) would do well to listen deeply to their voices, consider the secondary consequences of “protectionary” policies as potentially more harmful than helpful, and fundamentally, to reexamine the presumption that such students present just institutional risk and vulnerability, but also present a valuable addition to university environments, due to the unique perspective and broader scale of vision their experiences afford them.

A semiparametric stochastic frontier model is proposed for panel data, incorporating several flexible features. First, a constant elasticity of substitution (CES) production frontier is considered without log-transformation to prevent induced non-negligible estimation bias. Second, the model flexibility is improved via semiparameterization, where the technology is an unknown function of a set of environment variables. The technology function accounts for latent heterogeneity across individual units, which can be freely correlated with inputs, environment variables, and/or inefficiency determinants. Furthermore, the technology function incorporates a single-index structure to circumvent the curse of dimensionality. Third, distributional assumptions are eschewed on both stochastic noise and inefficiency for model identification. Instead, only the conditional mean of the inefficiency is assumed, which depends on related determinants with a wide range of choice, via a positive parametric function. As a result, technical efficiency is constructed without relying on an assumed distribution on composite error. The model provides flexible structures on both the production frontier and inefficiency, thereby alleviating the risk of model misspecification in production and efficiency analysis. The estimator involves a series based nonlinear least squares estimation for the unknown parameters and a kernel based local estimation for the technology function. Promising finite-sample performance is demonstrated through simulations, and the model is applied to investigate productive efficiency among OECD countries from 1970–2019.

This chapter builds upon the analysis of the last chapter, as fans have to deal with the issues that arise from their team’s financial superiority. Here, we question what happens when that financial superiority is accompanied by significant moral and ethical issues. Recent involvement of state actors in the ownership of English football has been evidencable and occasionally appears clear. Various reflexes and cognitive distancing occur from fandoms when football club ownership engages in practices that, according to the normative models that fans ascribe to their clubs, are mutually exclusive with the values of the fanbase and the club’s history. A common form of fan reflex often takes the form of distancing the players on the pitch from the club’s institutional structures, effectively teasing out the matchday experience from the structures that benefit from the raw emotion it generates. Another reflex is questioning why the fan should surrender their club when a morally, ethically problematic ownership model has acquired it. Here we have perhaps the greatest challenge to the normative model and, rather than negotiating that tension, as often as not the response is to try and ignore it.