Risk-based audits in a behavioural model.

The tools of predictive analytics are widely used in the analysis of large data sets to predict future patterns in the system. In particular, predictive analytics is used to estimate risk of engaging in certain behavior. Risk-based audits are used by revenue services to target potentially noncompliant taxpayers, but the results of predictive analytics serve predominantly only as a guide rather than a rule. “Auditor judgment” retains an important role in selecting audit targets. This article assesses the effectiveness of using predictive analytics in a model of the compliance decision that incorporates several components from behavioral economics: subjective beliefs about audit probabilities, a social custom reward from honest tax payment, and a degree of risk aversion that increases with age. Simulation analysis shows that predictive analytics are successful in raising compliance and that the resulting pattern of audits is very close to being a cutoff rule

The Face of an Intergenerational Community in Higher Education

With a rapidly growing non-traditional student population in higher education, institutions must begin to reshape much of their framework in how to serve a diverse population of students. With this diversifying of perspective, the older adult student must be given due consideration as an underrepresented student population. As we begin to consider this population of underrepresented students, we must examine the barriers and discrimination that older adults face, and the difficulties colleges encounter attempting to serve this population. Then as administrators, student affairs professionals, and faculty we must support initiatives of inclusion and equity that best serve these students

The Marginal Cost of Public Funds in Growing Economies

The marginal cost of public funds (MCF) measures the cost to the economy of raising government revenue. The MCF can be used to guide reform of the tax system and to determine an efficient level of government expenditure. It can also be used as an input into cost-benefit analysis. Previous applications of the concept have developed a methodology in a context of a static economy. We develop the methodology of the MCF to extend the concept to growing economies. The extended concept is then applied to variants of the Barro endogenous growth model with a productive public input. The MCF is used to address the choice between labour and capital taxes and to explore the implications of infrastructural spill-overs across regions

Risk-Based Audits in a Behavioural Model

The tools of predictive analytics are widely used in the analysis of large data sets to predict future patterns in the system. In particular, predictive analytics is used to estimate risk of engaging in certain behavior. Risk-based audits are used by revenue services to target potentially noncompliant taxpayers, but the results of predictive analytics serve predominantly only as a guide rather than a rule. “Auditor judgment” retains an important role in selecting audit targets. This article assesses the effectiveness of using predictive analytics in a model of the compliance decision that incorporates several components from behavioral economics: subjective beliefs about audit probabilities, a social custom reward from honest tax payment, and a degree of risk aversion that increases with age. Simulation analysis shows that predictive analytics are successful in raising compliance and that the resulting pattern of audits is very close to being a cutoff rule

Z-Selectivity in Olefin Metathesis with Chelated Ru Catalysts: Computational Studies of Mechanism and Selectivity

The mechanism and origins of Z-selectivity in olefin metathesis with chelated Ru catalysts were explored using density functional theory. The olefin approaches from the “side” position of the chelated Ru catalysts, in contrast to reactions with previous unchelated Ru catalysts that favor the bottom-bound pathway. Steric repulsions between the substituents on the olefin and the N-substituent on the N-heterocyclic carbene ligand lead to highly selective formation of the Z product

Can authority be sustained while balancing accessibility and formality?

Economics has developed into a quantitative discipline that makes extensive use of mathematical and statistical concepts. When writing a dictionary for economics undergraduates it has to be recognised that many users will not have suffi cient training in mathematics to benefi t from formal defi nitions of mathematical and statistical concepts. In fact, it is more than likely that the user will want the dictionary to provide an accessible version of a defi nition that avoids mathematical notation. Providing a verbal description of a mathematical concept has the risk that the outcome is both verbose (compared to a defi nition using appropriate mathematical symbols) and imprecise. For the author of a dictionary this raises the question of how to resolve this confl ict between accessibility and formal correctness. We use a range of examples from the Oxford Dictionary of Economics to illustrate this confl ict and to assess the extent to which a non-formal defi nition can be viewed as authoritative.Nigar Hashimzade, Georgina A. Myles and Gareth D. Myle

The Use of Agent-Based Modelling to Investigate Tax Compliance

Agent-based modelling can be used to investigate the behavioural and social aspects of tax compliance. We illustrate the approach with two models. The first model emphasises the role of occupational choice in tax compliance, and explores the effect of non-compliance on risk-taking and income distribution. The modelling of the compliance decision is discussed with an emphasis on decision-making under uncertainty and social interaction. We then add to the model a social network which governs the transmission of information on attitudes and beliefs, and investigate alternative audit strategies. A strategy of auditing a fixed number of taxpayers from each occupation dominates alternative strategies (including random and focussed strategies) in the sense of first-order stochastic dominance

The Mediating Role of Perceived Control and Desire for Control in the Relationship between Personality and Depressive Symptomology

open access articleIntroduction: Depression constitutes a fundamental problem for society and understanding its aetiology is of unequivocal importance. Seminal theories implicated low perceived control, low desire for control and variations in personality factors in the manifestation of depression. This study, however, is the first to examine the mediating roles of both desire for control and perceived control in the relationship between personality and depressive symptomology. Methods: A sample of 350 participants, ranging from 18 to 67 years of age (M = 22.8, SD = 9.0), were recruited through Durham University’s social media pages. Participants completed the Revised NEO Personality Inventory, the Spheres of Control Scale, the Desire for Control Scale and Beck’s Depression Inventory. Results: Path analysis using Maximum-Likelihood Method indicated that desire for control and perceived control serially mediated the effect of extraversion, conscientiousness and agreeableness on depressive symptomology, with only neuroticism maintaining a direct effect. Extraversion and conscientiousness increased desire for control, whereas agreeableness diminished desire for control. Greater desire for control subsequently elevated perceived control, manifesting reductions in depressive symptomology. Discussion: This study provides novel evidence that desire for control and perceived control mediate the relationship between personality and depressive symptoms. The clinical implications are discussed, evaluating the potential efficacy of therapies that bolster desire for control

Opportunities for mesoporous nanocrystalline SnO2 electrodes in kinetic and catalytic analyses of redox proteins

PFV (protein film voltammetry) allows kinetic analysis of redox and coupled-chemical events. However, the voltammograms report on the electron transfer through a flow of electrical current such that simultaneous spectroscopy is required for chemical insights into the species involved. Mesoporous nanocrystalline SnO2 electrodes provide opportunities for such ‘spectroelectrochemical’ analyses through their high surface area and optical transparency at visible wavelengths. Here, we illustrate kinetic and mechanistic insights that may be afforded by working with such electrodes through studies of Escherichia coli NrfA, a pentahaem cytochrome with nitrite and nitric oxide reductase activities. In addition, we demonstrate that the ability to characterize electrocatalytically active protein films by MCD (magnetic circular dichroism) spectroscopy is an advance that should ultimately assist our efforts to resolve catalytic intermediates in many redox enzymes