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In the periods, following the First and Second World Wars, colonial states across the British empire underwent waves of reforms that were geared toward improving human well-being, from enhancing social conditions, such as health and education, to expanding opportunities for economic and political engagement. The literature on the colonial state typically traces these state-building efforts to the agency of European colonial officials. However, evidence from a historical analysis of Trinidad and Tobago reveals a different agent driving state reform: the colonized. A local labor movement during colonialism forced the colonial state to construct a number of state agencies to ameliorate the economic, political, and social conditions in the colony, thereby resulting in an increase in state capacity. This study, therefore, provides critical intervention into the colonial state literature by showing that the agency of the colonized, as opposed to just the colonizers, is key to state-building, and specifying the mechanisms by which the subaltern constrained colonial officials and forced them to enact policies that improved colonial state capacity.

There is sufficient evidence to prove that the improved health status of a nation’s citizens results in economic growth and development via improved functionality and productivity of labor. It is also commonly accepted that healthcare expenditure significantly influences health status through, for instance, improving life expectancy at birth and reducing morbidity, death, and infant mortality rates. Within healthcare, medicines account for a considerable share of health-related expenditure in both developed and developing countries. Therefore, it seems reasonable to assume that improved access to medicines is likely to contribute not only to the well-being of families and individuals but also to the economic growth and development in all societies. It has been widely advocated that pharmaceutical multinational enterprises (MNEs) can play an important role to address this problem, as they develop and supply a significant proportion of the drugs imported by low- and middle-income countries. This chapter is dedicated to a systematic review of literature in order to identify the strategies implemented by pharmaceutical MNEs to improve access to medicines in the low- and middle-income countries. A total of 76 research articles have been identified, and we have found that the main strategies of pharmaceutical MNEs are related to improving health outcomes through R&D, establishing partnerships for product development, pricing strategies to improve access to medicines, technology transfer, licensing agreements, and nonmarket efforts to improve access to medicines, among other strategies to overcome barriers imposed by intellectual property rights. We have also found that pharmaceutical MNEs’ strategies take place within a complex system and often involve interactions with a wide range of actors, such as international organizations, governments, private not-for-profit sector, universities and research institutes, and generic manufacturers. However, there is still a need for major progress in the field of access to medicines, and pharmaceutical MNEs should be more active in this field in order to avoid potential negative consequences, such as loss of legitimacy and compulsory licensing of their patented medicines.

Understanding culture and the restorative needs of individuals can help students learn cultural competence and provide students a unique look at cultures. The chapter will focus on a pedagogical and historical understanding of restorative justice, how it relates to cultural competence, and structuring curriculum with the use of a variety of activities to help students learn cultural competence.

This chapter studies the dynamic responses of the conditional quantiles and their applications in macroeconomics and finance. The authors build a multi-equation autoregressive conditional quantile model and propose a new construction of quantile impulse response functions (QIRFs). The tool set of QIRFs provides detailed distributional evolution of an outcome variable to economic shocks. The authors show the left tail of economic activity is the most responsive to monetary policy and financial shocks. The impacts of the shocks on Growth-at-Risk (the 5% quantile of economic activity) during the Global Financial Crisis are assessed. The authors also examine how the economy responds to a hypothetical financial distress scenario.

We employ three systemic risk measures of banks, including the systemic risk index (SRISK) and marginal expected shortfall (MES) of Brownlees and Engle (2017) and the conditional Value-at-Risk (ΔCoVaR) of Adrian and Brunnermeier (2016), to analyze bank's exposure and contribution to systemic risk in the banking system when a financial crisis occurs. We find evidence that time-varying systemic risk exists, and systemic risk exposures escalate with the interconnectedness of banks. We also find revenue diversification is another significant factor that reduces a bank's exposure to systemic risk but not for banks in Taiwan and Singapore.

Purpose – This chapter evaluates the shift in black voter support from Mayor Adrian Fenty to Mayor Vincent Gray in the 2010 DC mayoral election. The complexities of new black leadership are used as a theoretical framework for understanding the salience of gentrification, crossover racial appeal, campaign tactics, and policy implementation in the mayoral transition from one black candidate to another.Design/methodology/approach – This study used polling data from The Washington Post one month prior to the 2010 DC Democratic primary (The Washington Post, 2010). Using a sample of 630 respondents, multinomial logistic regression was used to measure the extent to which substantive policy positions, racial crossover appeal, and/or personal traits factor into voter preferences.Findings – The results reveal that a combination of personal, racial, and substantive factors contributed to Adrian Fenty’s defeat in 2010. The implications suggest a reexamination of the significance of symbolic representation in voter candidate preferences and the shifting complexity of black leadership in the procurement of black substantive representation.Originality/value – This chapter captures the transitional nature of black leadership in order to distinguish viable strategies for blacks to secure both elected office and black empowerment, while offering a more nuanced approach to analyzing the changing nature of the black voting calculus in the United States.

This chapter uses an application to explore the utility of Bayesian quantile regression (BQR) methods in producing density nowcasts. Our quantile regression modeling strategy is designed to reflect important nowcasting features, namely the use of mixed-frequency data, the ragged-edge, and large numbers of indicators (big data). An unrestricted mixed data sampling strategy within a BQR is used to accommodate a large mixed-frequency data set when nowcasting; the authors consider various shrinkage priors to avoid parameter proliferation. In an application to euro area GDP growth, using over 100 mixed-frequency indicators, the authors find that the quantile regression approach produces accurate density nowcasts including over recessionary periods when global-local shrinkage priors are used.

A systemic risk measure is proposed accounting for links and mutual dependencies between financial institutions utilizing tail event information. Financial Risk Meter (FRM) is based on least absolute shrinkage and selection operator quantile regression designed to capture tail event co-movements. The FRM focus lies on understanding active set data characteristics and the presentation of interdependencies in a network topology. Two FRM indices are presented, namely, FRM@Americas and FRM@Europe. The FRM indices detect systemic risk at selected areas and identify risk factors. In practice, FRM is applied to the return time series of selected financial institutions and macroeconomic risk factors. The authors identify companies exhibiting extreme “co-stress” as well as “activators” of stress. With the SRM@EuroArea, the authors extend to the government bond asset class, and to credit default swaps with FRM@iTraxx. FRM is a good predictor for recession probabilities, constituting the FRM-implied recession probabilities. Thereby, FRM indicates tail event behavior in a network of financial risk factors.

Long-term interest rates of small open economies (SOE) correlate strongly with the USA long-term rate. Can central banks in those countries decouple from the United States? An estimated Dynamic Stochastic General Equilibrium (DSGE) model for the UK (vis-á-vis the USA) establishes three structural empirical results: (1) Comovement arises due to nominal fluctuations, not through real rates or term premia; (2) the cause of comovement is the central bank of the SOE accommodating foreign inflation trends, rather than systematically curbing them; and (3) SOE may find themselves much more affected by changes in USA inflation trends than the United States itself. All three results are shown to be intuitive and backed by off-model evidence.