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We propose a research design involving the use of Bloom’s taxonomy both in facilitating the teaching–learning process and in the educator assessing students’ final grades. The latter are compared with students’ self-acknowledged grades. Testing is done by considering a sample of accounting students enrolled for the Controlling course in Romania.

The employed research methodology relies on two instruments: a questionnaire and the examination process. Cluster analysis is used in analyzing students’ grades. Determinants of students’ academic performance are discussed by using factor analysis.

Comparing students’ self-acknowledged grades with those assessed by the educator, we document the necessity of further work in enhancing students’ ability to better assess their academic performance. Questions belonging to the application and analysis levels seem to be preferred by students.

We raise a series of theoretical questions in the area of examination performance. The obtained results in relation to the assessment of accounting students’ academic performance and its determinants offer useful insights for accounting educators.

Our chapter tests the use of Bloom’s taxonomy in the context of an emerging country’s educational system that lacked consistency and faced significant challenges throughout history. We also consider two measures for students’ academic performance as perceptions upon what should be the same result of the teaching–learning process. The chapter addresses the evolutions and particularities of the Romanian academic environment in the area of economics, developing a brief analysis meant to position the testing of the proposed research design.

Ranked preference data arise when a set of judges rank, in order of their preference, a set of objects. Such data arise in preferential voting systems and market research surveys. Covariate data associated with the judges are also often recorded. Such covariate data should be used in conjunction with preference data when drawing inferences about judges.

To cluster a population of judges, the population is modeled as a collection of homogeneous groups. The Plackett-Luce model for ranked data is employed to model a judge's ranked preferences within a group. A mixture of Plackett- Luce models is employed to model the population of judges, where each component in the mixture represents a group of judges.

Mixture of experts models provide a framework in which covariates are included in mixture models. Covariates are included through the mixing proportions and the component density parameters. A mixture of experts model for ranked preference data is developed by combining a mixture of experts model and a mixture of Plackett-Luce models. Particular attention is given to the manner in which covariates enter the model. The mixing proportions and group specific parameters are potentially dependent on covariates. Model selection procedures are employed to choose optimal models.

Model parameters are estimated via the ‘EMM algorithm’, a hybrid of the expectation–maximization and the minorization–maximization algorithms. Examples are provided through a menu survey and through Irish election data. Results indicate mixture modeling using covariates is insightful when examining a population of judges who express preferences.

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.

There is no exaggeration in the claim that abstract-deductive political economy in pre-Tractarian Oxford was driven by Richard Whately and hence centred at Oriel College. At this time Oriel was defined by a group of intellectuals now commonly referred to as the Oriel Noetics, of whom Whately was one, and the nature of Oxford political economy in the opening decades of the nineteenth century (including William F. Lloyd's contribution to it) cannot be understood outside the context of the intellectual tradition established by the Oriel Noetics. The Noetics were unconventional reformist clerics (one could not use the slippery mid-Victorian word ‘liberal’, as they were predominantly conservative Whigs or reform-minded Tories of the Pitt mould, in which order and tradition were maintained through moderate, but not radical, change); admired rational thought and absent-mindedly tested social conventions with their speech; were unafraid to question religious shibboleths if they deemed them bereft of scriptural foundation (such as Sabbatarianism); deployed logical processes to bolster their religious beliefs, which they held in an unsentimental fashion, and thereby to some extent practised that most contradictory of creeds, a logical faith; and, most importantly for this chapter, constructed a Christian Political Economy by dichotomising knowledge into a theological domain, in which they inferred from scriptural evidence that individuals should pursue the ends of attaining specific virtues (not utility!), and a scientific domain, in which they deduced scientific laws that would enable individuals to achieve the ends of attaining these virtues. They looked upon the rising Romantic Movement in general and the spiritualist yearnings of the Oxford Tractarians in particular with simple incomprehension, if not disgust. They deplored with equal measure the Evangelicals' enthusiasms, willing incogitency and lack of institutional anchor, yet sought to establish a broader national church that included dissenters (but not Catholics). They were most prominent in the 1810s and 1820s before colliding violently in the 1830s with, and being sidelined by, the Tractarians, many of whom they had, ironically enough, mentored and promoted.²

In this chapter the author studies the capital market efficiency hypothesis and checks whether the stock price adjustment dynamics is instantaneous, continuous, and linear or not. In particular, the author proposes to analyze the stock price evolution while taking into account the presence of transaction costs, the coexistence of heterogeneous investors, and the interdependence between stock markets. On the one hand, he provides strong evidence to suggest that the efficiency hypothesis is rejected. On the other hand, he proves that the stock index adjustment is rather discontinuous, asymmetrical, and nonlinear. Using threshold cointegration techniques, he proposes a new nonlinear modeling to reproduce the CAC40 adjustment dynamics that not only replicates the French market adjustment dynamics in the presence of market frictions but also captures the interdependence between the French and American stock markets, highlighting the reaction of French shareholders in relation to the changes in the behaviour of American speculators.

This paper proposes an efficient test designed to have power against alternatives where the error correction term follows a Markov switching dynamics. The adjustment to long run equilibrium is different in different regimes characterised by the hidden state Markov chain process. Using a general nonlinear MS-ECM framework, we propose an optimal test for the null of no cointegration against an alternative of a globally stationary MS cointegration. The Monte Carlo studies demonstrate that our proposed tests display superior powers compared to the linear tests. In an application to price-dividend relationships, our test is able to find cointegration while linear based tests fail to do so.

The nutritive properties of various dietary components and their effects on health are regularly debated in the scientific literature and popular media. The study of the regular consumption of cake in relation to the risk of developing metabolic disorders is however an exciting new development in the field. This chapter suggests that cake consumption is amongst a number of factors that may explain The Ambridge Paradox: the extremely low incidence of metabolic disorders such as obesity and Type 2 diabetes observed in a small Borsetshire village. The chapter identifies 10 dietary and lifestyle habits observed in this population that may be beneficial for cardiovascular health, acting through a variety of mechanisms. Key amongst these may be the synergic properties of several biochemical components of cake, especially the phenolic compounds in varieties with a fruit-based element, such as lemon drizzle. The chapter concludes that the dietary and lifestyle habits of the Ambridge cohort show promise as a model for improving the metabolic health of wider populations. In particular, it suggests that cake consumption may be a promising therapeutic supplement to prevent and even treat metabolic disorders.