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Presents a powerful experiential training tool in the teaching of organizational dynamics. A participant′s and a co‐ordinator′s manual have been developed to guide the training simulation portion which runs from six to eight hours, including briefing and preparation time. In this phase the participants create, operate and develop a live organization as they think that it should be structured. Following this experiential phase, an intensive debriefing and processing phase of four to eight hours is conducted. In the debriefing the participants are assisted in reflecting on both their shared experiences in creating the organization and their learnings from operating in a work community of their own making. Past participants report significant and sometimes life‐changing discoveries about themselves and how they act in organizational settings. What this represents is the creation of a “live case” that teaches through experience a great deal about power and empowerment, motivational dynamics, issues relating to total quality management and leadership, stress and ambiguity, conflict and co‐operation, and emerging issues of managing diversity.

We investigate the Bayesian approach to model comparison within a two-country framework with nominal rigidities using the workhorse New Keynesian open-economy model of Martínez-García and Wynne (2010). We discuss the trade-offs that monetary policy – characterized by a Taylor-type rule – faces in an interconnected world, with perfectly flexible exchange rates. We then use posterior model probabilities to evaluate the weight of evidence in support of such a model when estimated against more parsimonious specifications that either abstract from monetary frictions or assume autarky by means of controlled experiments that employ simulated data. We argue that Bayesian model comparison with posterior odds is sensitive to sample size and the choice of observable variables for estimation. We show that posterior model probabilities strongly penalize overfitting, which can lead us to favor a less parameterized model against the true data-generating process when the two become arbitrarily close to each other. We also illustrate that the spillovers from monetary policy across countries have an added confounding effect.

Oil market VAR models have become the standard tool for understanding the evolution of the real price of oil and its impact on the macro economy. As this literature has expanded at a rapid pace, it has become increasingly difficult for mainstream economists to understand the differences between alternative oil market models, let alone the basis for the sometimes divergent conclusions reached in the literature. The purpose of this survey is to provide a guide to this literature. Our focus is on the econometric foundations of the analysis of oil market models with special attention to the identifying assumptions and methods of inference.

This chapter contributes to the growing global VAR (GVAR) literature by showing how global and national shocks can be identified within a GVAR framework. The usefulness of the proposed approach is illustrated in an application to the analysis of the interactions between public debt and real output growth in a multicountry setting, and the results are compared to those obtained from standard single country VAR analysis. We find that on average (across countries) global shocks explain about one-third of the long-horizon forecast error variance of output growth, and about one-fifth of the long-run variance of the rate of change of debt-to-GDP. Evidence on the degree of cross-sectional dependence in these variables and their innovations are exploited to identify the global shocks, and priors are used to identify the national shocks within a Bayesian framework. It is found that posterior median debt elasticity with respect to output is much larger when the rise in output is due to a fiscal policy shock, as compared to when the rise in output is due to a positive technology shock. The cross-country average of the median debt elasticity is 1.45 when the rise in output is due to a fiscal expansion as compared to 0.76 when the rise in output follows from a favorable output shock.

This chapter seeks to investigate the role of student emotional intelligence (EI) in countering in-class cyberloafing behaviour by students, by exploring the mediating role of boredom proneness through a quantitative approach. A sample of 163 postgraduate university students in India was selected. The authors assessed the mediation model using PROCESS macro. The authors found that students who are more aware of their emotions are better equipped to handle internal and external distractions and work towards a desired goal or outcome and therefore are less likely to experience boredom. Results from this study revealed a significant direct and indirect negative relationship between students’ EI and cyberloafing behaviour. This chapter contributes to the body of literature by highlighting the positive effects of EI as an important antidote to student cyberloafing behaviour. On the practical front, the findings of this study can be used by academicians who are charged with the responsibility of understanding and enhancing student learning by diminishing cyberloafing behaviour among them. The proposed framework could provide a foundation for countering cyberloafing behaviour in educational settings.

This paper aims to explore to what extent can the Saudi–US alliance endure, given the several challenges it has faced over the past decade. Using a conceptual framework from the alliance theory, the paper will trace the historical evolution of the alliance between the two countries, then will identify some of the challenges that have faced the alliance on both the regional and bilateral levels, and finally will assess the impact of these challenges on the resilience of the Saudi–US alliance.

This paper will use the alliance theory literature to analyze the challenges and the resilience of the Saudi–US relations.

The Saudi–US alliance has encountered several challenges in the past decade such as the Arab spring, the Iranian nuclear deal and the Civil War in Syria and Yemen. However, this alliance proved to be resilient, and the strategic partnership between the two countries managed to overcome these challenges.

The importance of this paper stems from the fact that the USA and the Saudi Arabia are two pivotal countries, and their relationship affects regional and international dynamics. The paper contributes to the literature on the Saudi–US bilateral relations as well as their views on recent regional issues such as the Arab Spring, the civil war in Yemen and Syria. Assessing the limits and potentials of the alliance between the two countries could also help us understand the future of regional developments in the Middle East.

This chapter examines the effect of changes in the public debt–gross domestic product (GDP) ratio on long, 10 year, interest rates in a panel of 17 countries over the period 1870–2016 controlling for other variables, in particular the world interest rate. Over this long period, one can argue that most of the big changes in public debt were the product of factors largely exogenous to national interest rate determination, such as war, depression or financial crisis. The issue is of current relevance since the Covid-19 pandemic has caused large increases in the ratio of public debt to GDP in many countries. The estimates suggest that it is the change in debt, rather than the level of debt or the deficit that matters for long interest rates. World interest rates have long- and short-run effects on interest rates which are very well determined and close to one. Current inflation has a small but significant effect.

The study aims to analyze the effects of the Covid-19 pandemic on house prices.

The authors start by discussing the possibility that house price indexes may not fully incorporate the effects of the pandemic as of yet. Against the background of the pandemic, the authors then analyze economic and behavioral effects affecting house prices. The authors also discuss how the linkages between tourism and house prices have been affected. The authors further present evidence of an emerging shift in preferences from urban locations to more peripheral ones.

The authors report variance in the evolution of house prices across countries at the onset of the pandemic, with locations depending heavily on tourism showing slower price appreciation while appreciation has firmed in other places. The authors argue that the resilience of house prices is not only because of the low-interest rate environment and government efforts to support firms and households, but also behavioral factors. In some locations, the price of condominiums has declined relative to the price of detached houses. This could indicate that wealthier households are seeking more space and larger units as a result of the crisis. There is also evidence of a downward pressure on rents, leading to increased price–rent ratios in the USA.

By considering both economic and behavioral factors, this paper provides for a better understanding of the resilience and realignment of house prices at the onset of the Covid-19 pandemic.

On April 2, 1987, IBM unveiled a series of long‐awaited new hardware and software products. The new computer line, dubbed the Personal Systems 30, 50, 60, and 80, seems destined to replace the XT and AT models that are the mainstay of the firm's current personal computer offerings. The numerous changes in hardware and software, while representing improvements on previous IBM technology, will require users purchasing additional computers to make difficult choices as to which of the two IBM architectures to adopt.

This article provides an overview of the panel vector autoregressive models (VAR) used in macroeconomics and finance to study the dynamic relationships between heterogeneous assets, households, firms, sectors, and countries. We discuss what their distinctive features are, what they are used for, and how they can be derived from economic theory. We also describe how they are estimated and how shock identification is performed. We compare panel VAR models to other approaches used in the literature to estimate dynamic models involving heterogeneous units. Finally, we show how structural time variation can be dealt with.