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The purpose of this paper is to provide an extensive review of the monetary model of exchange rate determination which is the main theoretical framework on analyzing exchange rate behavior over the last 40 years. Furthermore, we test the flexible price monetarist variant and the sticky price Keynesian variant of the monetary model. We conduct our analysis employing a sample of 14 advanced economies using annual data spanning the period 1880–2012.

The theoretical background of the paper relies on the monetary model to the exchange rate determination. We provide a thorough econometric analysis using a battery of unit root and cointegration testing techniques. We test the price-flexible monetarist version and the sticky-price version of the model using annual data from 1880 to 2012 for a group of industrialized countries.

We provide strong evidence of the existence of a nonlinear relationship between exchange rates and fundamentals. Therefore, we model the time-varying nature of this relationship by allowing for Markov regime switches for the exchange rate regimes. Modeling exchange rates within this context can be motivated by the fact that the change in regime should be considered as a random event and not predictable. These results show that linearity is rejected in favor of an MS-VECM specification which forms statistically an adequate representation of the data. Two regimes are implied by the model; the one of the estimated regimes describes the monetary model whereas the other matches in most cases the constant coefficient model with wrong signs. Furthermore it is shown that depending on the nominal exchange rate regime in operation, the adjustment to the long run implied by the monetary model of the exchange rate determination came either from the exchange rate or from the monetary fundamentals. Moreover, based on a Regime Classification Measure, we showed that our chosen Markov-switching specification performed well in distinguishing between the two regimes for all cases. Finally, it is shown that fundamentals are not only significant within each regime but are also significant for the switches between the two regimes.

The results are of interest to practitioners and policy makers since understanding the evolution and determination of exchange rates is of crucial importance. Furthermore, our results are linked to forecasting performance of exchange rate models.

The present analysis extends previous analyses on exchange rate determination and it provides further support in favor of the monetary model as a long-run framework to understand the evolution of exchange rates.

Many jurisdictions fine illegal cartels using penalty guidelines that presume an arbitrary 10% overcharge. This article surveys more than 700 published economic studies and judicial decisions that contain 2,041 quantitative estimates of overcharges of hard-core cartels. The primary findings are: (1) the median average long-run overcharge for all types of cartels over all time periods is 23.0%; (2) the mean average is at least 49%; (3) overcharges reached their zenith in 1891–1945 and have trended downward ever since; (4) 6% of the cartel episodes are zero; (5) median overcharges of international-membership cartels are 38% higher than those of domestic cartels; (6) convicted cartels are on average 19% more effective at raising prices as unpunished cartels; (7) bid-rigging conduct displays 25% lower markups than price-fixing cartels; (8) contemporary cartels targeted by class actions have higher overcharges; and (9) when cartels operate at peak effectiveness, price changes are 60–80% higher than the whole episode. Historical penalty guidelines aimed at optimally deterring cartels are likely to be too low.

Differences in the cost of living and the general attractiveness of communities lead to significant, regional differences in the prices school districts must pay for their most important resource – people. According to the most recent data from the National Center for Education Statistics, labor costs differ by more than 50% from the lowest-cost district to the highest-cost district within California, Florida, New York, Texas, and West Virginia. Furthermore, all states but Hawaii and Rhode Island face at least a 7.7% internal differential in labor cost. Most states fail to account for such cost differences in their school finance formulas, leading to inequitable differences in school district purchasing power. This chapter compares and contrasts the various strategies states use to make geographic cost adjustments to their school funding formula, describes the implications of geographic adjustment for interstate and intrastate measures of school finance equity (and corresponding litigation), and discusses the impact that such adjustments could have on the distribution of federal aid for economically disadvantaged students under Title 1 of the Elementary and Secondary Education Act.

The last few decades have seen the rise of a new field of inquiry – human–animal studies (HAS). As a rich, theoretically and disciplinarily diverse field, HAS shines a light on the various relations that humans have with other animals across time, space and culture. While still a small, but rapidly growing field, HAS has supported the development of multiple theoretical and conceptual initiatives which have aimed to capture the rich diversity of human–animal interactions. Yet the methodologies for doing this have not kept pace with the ambitions of such projects. In this chapter, we seek to shed light on this particular issue.

We consider the difficulties of researching other-than-human beings by asking what might happen if methods incorporated true inter-disciplinarity, for instance if social scientists were able to work with natural scientists on multi-species ethnographies. The lack of established methodology (and the lack of cross disciplinary research between the natural and social sciences) is one of the main problems that we consider here. It is an issue complicated immensely by the ‘otherness’ of animals – the vast differences in the ways that we (humans) and they (animals) see the world, communicate and behave. This chapter provides the opportunity for us to consider how we can take account of (if not resolve) these differences to arrive at meaningful research data, to better understand the contemporary world by embarking upon more precise investigations of our relationships with animals.

Drawing upon a selection of examples from contemporary research of human–animal interactions, both ethnographic and scientific, we shed light on some new possibilities for multi-species research. We suggest that this can be done best by considering and applying a diversity of theoretical frameworks which deal explicitly with the constitution of the social environment.

Our methodological exploration offers the reader insight into new ways of working within the template of human animal studies by drawing upon a range of useful theories such as post-structuralism and actor network theory (ANT) (for example, Callon, 1986; Hamilton & Taylor, 2013; Latour, 2005; Law, Ruppert, & Savage, 2011) and post-humanist perspectives (for example, Anderson, 2014; Haraway, 2003; Wolfe, 2010). Our contribution to this literature is distinctive because rather than remaining at the philosophical level, we suggest how the human politics of method might be navigated practically to the benefit of multiple species.

Interest in psychological resilience has grown rapidly in the last couple of decades (Britt, Sinclair, & McFadden, 2016; King & Rothstein, 2010; Youssef & Luthans, 2007). Psychological resilience occurs when a person can “recover, re-bound, bounce-back, adjust or even thrive” in the face of adversity (Garcia-Dia, DiNapoli, Garcia-Ona, Jakubowski, & O’flaherty, 2013, p. 264). As such, resilience can be conceptualized as a state-like and malleable construct that can be enhanced in response to stressful events (Kossek & Perrigino, 2016). It incorporates a dynamic process by which individuals use protective factors (internal and external) to positively adapt to stress over time (Luthar, Cicchetti, & Becker, 2000; Rutter, 1987). Building on the dual-pathway model of resilience, we integrate adaptive and proactive coping to the resilience development process and add a heretofore unexamined perspective to the ways in which resilience changes over time. We propose that resilience development trajectories differ depending on the type of adversity or stress experienced in combination with the use of adaptive and proactive coping. We outline the need for future longitudinal studies to examine these relationships and the implications for developing resilience interventions in the workplace.