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Many Information Theoretic Measures have been proposed for a quantitative assessment of causality relationships. While Gouriéroux, Monfort, and Renault (1987) had introduced the so-called “Kullback Causality Measures,” extending Geweke’s (1982) work in the context of Gaussian VAR processes, Schreiber (2000) has set a special focus on Granger causality and dubbed the same measure “transfer entropy.” Both papers measure causality in the context of Markov processes. One contribution of this paper is to set the focus on the interplay between measurement of (non)-markovianity and measurement of Granger causality. Both of them can be framed in terms of prediction: how much is the forecast accuracy deteriorated when forgetting some relevant conditioning information? In this paper we argue that this common feature between (non)-markovianity and Granger causality has led people to overestimate the amount of causality because what they consider as a causality measure may also convey a measure of the amount of (non)-markovianity. We set a special focus on the design of measures that properly disentangle these two components. Furthermore, this disentangling leads us to revisit the equivalence between the Sims and Granger concepts of noncausality and the log-likelihood ratio tests for each of them. We argue that Granger causality implies testing for non-nested hypotheses.

This chapter explores the laws and unique challenges associated with the investigation and prosecution of cybercrime. Crimes that involve the misuse of computers (e.g., hacking, denial of service, and ransomware attacks) and criminal activity that uses computers to commit the act are both covered (e.g., fraud, theft, and money laundering). This chapter also describes the roles of the various federal agencies involved in investigating cybercrime, common cybercrime terms and trends, the statutes frequently used to prosecute cybercrimes, and the challenges and complexity of investigating cybercrime.

A state space representation of a linearized DSGE model implies a VAR in terms of observable variables. The model is said be non-invertible if there exists no linear rotation of the VAR innovations which can recover the economic shocks. Non-invertibility arises when the observed variables fail to perfectly reveal the state variables of the model. The imperfect observation of the state drives a wedge between the VAR innovations and the deep shocks, potentially invalidating conclusions drawn from structural impulse response analysis in the VAR. The principal contribution of this chapter is to show that non-invertibility should not be thought of as an “either/or” proposition – even when a model has a non-invertibility, the wedge between VAR innovations and economic shocks may be small, and structural VARs may nonetheless perform reliably. As an increasingly popular example, so-called “news shocks” generate foresight about changes in future fundamentals – such as productivity, taxes, or government spending – and lead to an unassailable missing state variable problem and hence non-invertible VAR representations. Simulation evidence from a medium scale DSGE model augmented with news shocks about future productivity reveals that structural VAR methods often perform well in practice, in spite of a known non-invertibility. Impulse responses obtained from VARs closely correspond to the theoretical responses from the model, and the estimated VAR responses are successful in discriminating between alternative, nested specifications of the underlying DSGE model. Since the non-invertibility problem is, at its core, one of missing information, conditioning on more information, for example through factor augmented VARs, is shown to either ameliorate or eliminate invertibility problems altogether.

This chapter examines the topic of internal branding from an organizational/behavioral science perspective, theoretically and empirically investigating how organizational members actually enact corporate brands. A mixed-method research procedure serves to surface conscious (i.e., deliberate) and unconscious (i.e., tacit) internal brand meaning enactments in an internationally operating Austrian corporate business-to-business (B2B) brand. The results are an evidence of the potential complexity of real-life internal branding processes that limit the possibility of achieving a cohesive intended internal implementation of corporate brands. The chapter concludes with the managerial implication that purposeful managerial interventions necessitate an understanding of the social system that is the target of the internal branding initiative

Recent scholarship has focused on the schooling experiences of Black boys in early childhood; however research on the experiences and outcomes of Black girls in early childhood remains virtually nonexistent. More research is needed to ensure that every Black girl excels in early childhood education. Through three reflections from Black early educators, written iteratively through a process of reflection, discussion, writing, and revision, this chapter highlights aspects of Black girls' schooling that can promote Black girls' rapidly developing social, emotional, regulatory, and moral capacities. Within each reflection, the educator's advance our understanding of culturally relevant pedagogy by showing how educators can “teach to and through” Black girls’ funds of knowledge. Additionally, the reflections highlight the powerful role schools play in the lives of Black girls, underscoring the need to more deeply investigate teacher's perceptions of Black girls in addition to the positive and the negative policies and practices enacted in classrooms. The chapter concludes with critical and timely recommendations for research, practice, and policy.