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This chapter aims at shedding light upon how transforming or detrending a series can substantially impact predictions of mixed causal-noncausal (MAR) models, namely dynamic processes that depend not only on their lags but also on their leads. MAR models have been successfully implemented on commodity prices as they allow to generate nonlinear features such as locally explosive episodes (denoted here as bubbles) in a strictly stationary setting. The authors consider multiple detrending methods and investigate, using Monte Carlo simulations, to what extent they preserve the bubble patterns observed in the raw data. MAR models relies on the dynamics observed in the series alone and does not require economical background to construct a structural model, which can sometimes be intricate to specify or which may lack parsimony. The authors investigate oil prices and estimate probabilities of crashes before and during the first 2020 wave of the COVID-19 pandemic. The authors consider three different mechanical detrending methods and compare them to a detrending performed using the level of strategic petroleum reserves.

This chapter examines the impact of banking competition, bank regulation, and the global financial crisis (GFC) of 2008–2009 on banks’ productivity changes. For the empirical analysis, I apply a semi-parametric two-step approach of Malmquist index estimates and bootstrap regression to a cross-country panel data of 8,451 commercial banks from 82 countries over the period 2004–2012. Empirical results show that (1) banking competition and capital regulation significantly enhance bank productivity, (2) a tighter bank supervision have a positive impact on bank productivity, and (3) bank productivity decreases during the GFC, but starts to increase as the GFC recovers. I also present consistent evidence that commercial banks in countries with better national governance have higher productivity growth before, during and after the GFC.

Economic theory posits that production factors that are both difficult to imitate and capable of creating organizational efficiencies can generate economic rents and sustain long-term competitive advantage. Using survey data for 106 firms, we measure four dimensions of strategic human capital and find that the market values strategic human capital that has the capability to create efficiencies in the organization and is also difficult for competitors to imitate. We discuss implications for the reporting of human capital in intellectual capital reports and offer suggestions for future research.

In this chapter, I review recent evidence on the developmental origins of health inequality. I discuss the origins of the education-health gradient, the long-term costs caused by early life adversity, and how early life experiences affect the biology of the body. Additionally, I provide complementary evidence on enrichment interventions which can at least partially compensate for these gaps. I highlight emerging lines of scientific inquiry which are likely to have a significant impact on the field. I argue that, while the evidence that early life conditions have long-term effects is now uncontroversial, the literature needs to be expanded both in a theoretical and empirical direction. On the one hand, a model linking early life origins to ageing needs to be developed; on the other hand, a better understanding of the mechanisms – both biological and socioeconomic – is required, in order to design more effective interventions.

Possible reasons for using kites to kill gazelles are comprehensively reviewed in this article. Even though they are now well inventoried and documented, desert kites are still not well understood, as exemplified by the recurrent controversies about their function and dating. According to the dominant view, kites were hunting structures used to drive and to mass kill large herds of wild ungulates, particularly gazelles. Although kites were intensively used during the Early Bronze Age, some of them could have been built and used before that. Beyond these issues, the cultural and socioeconomic aspects of the kites phenomenon are even less understood, and therefore, we focus on changing reasons for the long-lasting use of kites as hunting devices. We contend that the reasons why they were used during the period of utilization for hunting gazelles changed, in most cases, in response to socioeconomic development. It is hypothesized, for example, that, as a result of urban development, kites may have been increasingly (but not exclusively) used to kill gazelles to trade their products with urban communities and farmers, even though they had other uses as well which are also considered. The main hypothesis presented in this article enables diverse opinions about the types of uses and reasons for utilizing desert kites to be reconciled, including in particular varied reasons given in the literature about why they were used for killing gazelles.

This chapter examines lessons for response gleaned from 70 years of research on human and organizational behavior. These lessons for response are examined in the context of the current homeland security policy environment for national preparedness. This chapter also focuses on implementation steps for current preparedness guidance by law enforcement agencies. It joins research knowledge and policy to inform law enforcement planners in the development of local strategic-, operational-, and tactical-level response plans.

The origins of the PSC in Singapore can be traced to the White Paper (Command Paper no. 197) entitled Organization of the Colonial Service issued by the British government in 1946.² Command Paper No. 197 stressed that progress toward self-government could only be achieved if the public services of the colonies were adapted to local conditions and staffed to the maximum possible extent by local people. More importantly, it recommended the establishment of PSCs in the colonies to ensure that qualified local candidates would be recruited into the public services.