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This chapter revisits the Hausman (1978) test for panel data. It emphasizes that it is a general specification test and that rejection of the null signals misspecification and is not an endorsement of the fixed effects estimator as is done in practice. Non-rejection of the null provides support for the random effects estimator which is efficient under the null. The chapter offers practical tips on what to do in case the null is rejected including checking for endogeneity of the regressors, misspecified dynamics, and applying a nonparametric Hausman test, see Amini, Delgado, Henderson, and Parmeter (2012, chapter 16). Alternatively, for the fixed effects die hard, the chapter suggests testing the fixed effects restrictions before adopting this estimator. The chapter also recommends a pretest estimator that is based on an additional Hausman test based on the difference between the Hausman and Taylor estimator and the fixed effects estimator.

Using the examples of Grenadian-born Jean Augustine, the first Black Member of Parliament in Canada, and Barbados' Prime Minister Mia Mottley, the piece argues that the ethos of the Emigrant Ambassador—the collective empowerment of Black feminism, liberation, and radicalism—ushered in a new era for change abroad and in Canada, as transnational and international change was driven by Black women from the West Indies.

The author used historical research and social science theoretical frameworks to formulate conclusions, lessons learnt and steps forward for current equity, diversity and inclusion (EDI) practitioners.

Black women born in the West Indies in the mid-twentieth century were the catalysts for social justice movements in the 2010 and 2020s. Many methods used for social change in the twentieth century are applicable in the 2020s and beyond.

Research is focused on Canadian and West Indian relations but will have implications for those across the British Commonwealth.

Practitioners and students of EDI will have a new tool on how to approach and confront anti-Black racism, particularly after May 25, 2020.

This article provides opportunities to support the dwindling efforts of anti-racism to support the lives of Black people across the Black Atlantic.

This is an original article built on previous scholarship of the author.

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.

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.

Scarcity of resources, ecological imbalance, global warming, rising energy prices and the ever-changing need for variety have attracted the government and manufacturers for sustainable development of the industries. The integrated sustainable-green-lean-six sigma-agile manufacturing system (ISGLSAMS) provides a solid platform for meeting both the customers’ variety needs and business sustainability requirements. Many organizations opted for ISGLSAMS, but still due to various barriers organizations are not able to fully implement ISGLSAMS. The purpose of this paper is to identify the barriers to the ISGLSAMS, so that a more sustainable industrial manufacturing system and industrial symbiosis can be developed.

A literature review, from the Web of Science and Google Scholar database, has been carried out to identify the various barriers to the implementation of ISGLSAMS in the entire value chain. A total of 168 research papers have been reviewed for identifying the ISGLSAMS barriers.

This paper elaborates the concept of the ISGLSAMS, its attributes and various barriers and contributes to a better understanding and successful implementation of ISGLSAMS to meet business’ sustainability and market performance goals in the entire value chain. The paper also projects the future research framework and directions for the ISGLSAMS, integrated sustainable-green-lean-six sigma-agile (ISGLSA) product and ISGLSA supply and value chain.

The study contributes to a better understanding of ISGLSAMS’ barriers. The government, stakeholders and policymakers may plan the policy, road map and strategies to overcome the ISGLSAMS’ barriers. In-depth knowledge of subclauses of ISGLSAMS’ barriers will help the practitioners to overcome the ISGLSAMS’ barriers strategically. By overcoming the ISGLSAMS barriers, a more sustainable 7 Rs based market focused manufacturing system can be designed. This will also increase the opportunities to enhance the industrial ecology, industrial symbiosis and better recovery of the product, process and supply chain residual value. This will reduce the waste to the ecosystem.

This work has been carried out in search of a more sustainable manufacturing system, i.e. ISGLSAMS (which is 7 Rs based, i.e. 6 Rs of sustainability with 7th R, reconfiguration) to meet the customer variety needs along with sustainability in the ever-changing customer market. This study adds value to the practitioners to identify and prioritize the ISGLSAMS’ industry-specific barriers and design the solution for the more sustainable development of (1) industries, (2) the industrial symbiosis system and (3) the ISGLSA product, process, system and supply value chain with minimum resource consumption and environmental impact. The research also contributes to the (a) ISGLSAMS (b) ISGLSA supply chain (c) reconfigurable, sustainable and modular products and (d) redesign, recovery and refurbishing of the product to increase the product life cycle.

Four reputed leaders for the coming years in the field of special education for individuals with emotional and behavioral disorders (EBD) each with a slightly different perspective on the field were asked to respond independently to a prompt asking what does special education mean for students with EBD and what is being done and how do we maintain tradition? The contributors' responses to the prompt are presented and then summarized across the essays. A remarkable consistency emerges across the independent essays. In addition to the tradition of providing a free and appropriate education in the least restrictive environment, the contributors identify needs to support teachers serving this population. Needs in teacher training and the expertise required to meet the needs of individuals with EBD are outlined as well as potential contributions of technology to carry out specific tasks. We conclude with a call for increased advocacy for use of the knowledge that we currently possess and that which will soon be discovered to support students with EBD as well as their teachers. We also note that the contributors' names are listed alphabetically to acknowledge the equality of each person to the final product.

As social media has become an ingrained aspect of our lives—including our political relationships with other citizens and the state—various governments have warned public servants that being politically active online might threaten the reputed impartiality of themselves and the public service. This study examines whether public servants are less likely to be politically active on social media than other citizens, and seeks to understand public servants’ varying disposition to be politically active online by investigating the role of employees’ underlying Big 5 personality traits.

Multivariate regression, along with marginal effects and predicted probabilities, are used to investigate public servants’ online political activity with survey data from Canada, a country where impartiality is a core public service value, and where governments, public service commissions and even public sector unions have voiced cautious messages about the threat online political activity presents to the reputed impartiality of public servants, and the public service at large.

Analysis of the direct effects of being a public servant and each Big 5 personality trait finds that being a public servant significantly, and substantively, reduces the probability of engaging in online political activity, meanwhile, Extraversion and Conscientiousness have consistent, significant and substantive relationships with being politically active online. Subsequent analysis investigating the dynamic between the Big 5 and being a public servant, uncovers a more complex story. Among public servants, Openness and Neuroticism, rather than Extraversion and Conscientiousness, are associated with significant and substantive changes in the probability of engaging in some online politically activities. This is consistent with research investigating the relationship between the Big 5 and risk aversion, given that public servants in Canada work in an environment with a highly cautious discourse portraying social media as a serious risk to impartiality.

The findings also speak to best practices for public service human resource managers by shedding light how public servants’ behavior can be better understood and managed by paying attention to their underlying personality traits.

This study moves beyond analyzing trends between public and private sector employees, to instead examine public servants’ online political activity. This study offers theoretical and empirical insight into how public servants’ disposition to be politically active online is, in part, influenced by their underlying Big 5 personality traits, specifically, Neuroticism and Openness.

This chapter provides a study of how gambling companies use the cultural and social capital of Newcastle United Football Club, in the English Premier League, to establish a connection with the club's fans to promote gambling. Newcastle United had two gambling sponsors during the period of this study, from 2017 to 2020, including a front of shirt sponsor, FUN88, an online gambling brand with a large following in Asia. Data were gathered from a range of sources, including from the social media platform, Twitter, to identify the methods the company used to engage fans and to encourage betting on the outcome of matches. The data from the study were explored thematically to describe the relationship developed between the football club and its principal gambling sponsor in order to drive business for the latter with the club's followers. The findings showed how FUN88 evoked Newcastle United's cultural tradition to promote gambling and generate business globally whilst the club actively promoted their ‘primary partner’ through its media channels. The lure of free match tickets was used to encourage fan engagement. Corporate practices promote the consumption of unhealthy commodities through their marketing whilst consumers (fans) are responsibilised for any harms engendered by their gambling practices. The ubiquity of gambling brands has enabled gambling to become a normalised part of football culture. The findings from this study show how FUN88 has used all elements of the sponsorship assemblage to create an emotional connection whilst engaging with Newcastle United's fans to increase consumption of its products.