Democratic Accountability During Performance Audits Under Pressure: A Recipe for Institutional Hypocrisy?

This study shows how the tensions between transparency and secrecy are likely to engender ‘institutional hypocrisy’ in the accountability process taking place during Supreme Audit Institutions’ performance audits. The examination of relations between the French Cour des comptes, Administration and Parliament has revealed gaps between Administration and Parliamentarians’ discourse and action, secrets and things left unsaid. This impression of Administration and Parliamentarians’ full participation in this democratic process may give to citizens a false sense of security leading them to believe that accounts are indeed rendered, which is not actually the case. Rather, the appearances of functional democracy have been preserved.     

Risk parity portfolio optimization under a Markov regime-switching framework

We formulate and solve a risk parity optimization problem under a Markov regime-switching framework to improve parameter estimation and to systematically mitigate the sensitivity of optimal portfolios to estimation error. A regime-switching factor model of returns is introduced to account for the abrupt changes in the behaviour of economic time series associated with financial cycles. This model incorporates market dynamics in an effort to improve parameter estimation. We proceed to use this model for risk parity optimization and also consider the construction of a robust version of the risk parity optimization by introducing uncertainty structures to the estimated market parameters. We test our model by constructing a regime-switching risk parity portfolio based on the Fama–French three-factor model. The out-of-sample computational results show that a regime-switching risk parity portfolio can consistently outperform its nominal counterpart, maintaining a similar ex post level of risk while delivering higher-than-nominal returns over a long-term investment horizon. Moreover, we present a dynamic portfolio rebalancing policy that further magnifies the benefits of a regime-switching portfolio.     

Analysing the correlation between social network analysis measures and performance of students in social network-based engineering education

Social network-based engineering education (SNEE) is designed and implemented as a model of Education 3.0 paradigm. SNEE represents a new learning methodology, which is based on the concept of social networks and represents an extended model of project-led education. The concept of social networks was applied in the real-life experiment, considering two different dimensions: (1) to organize the education process as a social network-based process; and (2) to analyze the students’ interactions in the context of evaluation of the students learning performance. The objective of this paper is to present a new model for students evaluation based on their behavior during the course and its validation in comparison with the traditional model of students’ evaluation. The validation of the new evaluation model is made through an analysis of the correlation between social network analysis measures (degree centrality, closeness centrality, betweenness centrality, eigenvector centrality, and average tie strength) and the grades obtained by students (grades for quality of work, grades for volume of work, grades for diversity of work, and final grades) in a social network-based engineering education. The main finding is that the obtained correlation results can be used to make the process of the students’ performance evaluation based on students interactions (behavior) analysis, to make the evaluation partially automatic, increasing the objectivity and productivity of teachers and allowing a more scalable process of evaluation. The results also contribute to the behavioural theory of learning performance evaluation. More specific findings related to the correlation analysis are: (1) the more different interactions a student had (degree centrality) and the more frequently the student was between the interaction paths of other students (betweenness centrality), the better was the quality of the work; (2) all five social network measures had a positive and strong correlation with the grade for volume of work and with the final grades; and (3) a student with high average tie strength had a higher grade for diversity of work than those with low ties.     

Amino acid formula as a new strategy for diagnosing cow’s milk allergy in infants: is it cost-effective?

Aims: To estimate the cost-effectiveness of a new strategy that uses an amino acid formula in the elimination diet of infants with suspected cow’s milk allergy (CMA).

Materials and methods: This pharmacoeconomic study was developed from the perspective of the Brazilian Public Healthcare System. The new strategy proposes using an amino acid formula in the diagnostic elimination diet of infants (≤24 months) with suspected CMA. The rationale is that infants who do not respond to the amino acid formula do not suffer from CMA. Patients with a positive oral challenge test receive a therapeutic elimination diet based on Brazilian Food Allergy Guidelines. This approach was compared to the current recommendations of the Brazilian Food Allergy Guidelines. A decision model was constructed using TreeAge Pro 2012 software. Model inputs were based on a literature review and the opinions of a panel of experts. A univariate sensitivity analysis of incremental cost-effectiveness ratios was performed.

Results: The mean cost per patient of the new amino acid formula strategy was R$3,341.57, while the cost of the current Brazilian guidelines strategy was R$3,641.08. The mean number of symptom-free days per patient, which was used as an indicator of effectiveness, was 900.6 and 875.7 days, respectively. The new strategy is, therefore, dominant. In the sensitivity analysis, the dominance was maintained with parameter variation.

Limitations: In the absence of information in the literature, some premises were defined by a panel of specialists.

Conclusions: The new strategy, which uses an amino acid formula in the elimination diagnostic diet followed by an oral food challenge, is a dominant pharmacoeconomic approach that has a lower cost and results in an increased number of symptom-free days.     

Fashion consumer profiles in the Portuguese market: involvement,innovativeness, self‐expression and impulsiveness as segmentation criteria

This study identified fashion consumer profiles among Portuguese young adults. The work was based on four constructs: fashion involvement, fashion innovativeness, self‐expression through fashion products and impulsiveness. Another purpose of this study was to test these instruments in this cultural context in order to contribute to the generalizability of the scales. A cluster analysis uncovered three groups: Moderates, Apathetic and Enthusiasts. On the whole, this study proposes a new way of segmenting Portuguese fashion consumers and demonstrates that the four constructs employed can be used in different cultural contexts.     

Hybrid heuristics for planning job rotation schedules in assembly lines with heterogeneous workers

We investigate the problem of balancing assembly lines with heterogeneous workers while considering job rotation schedules. This problem typically occurs in assembly lines in sheltered work centers for disabled. We propose a hybrid algorithm that uses a Mixed Integer Programming (MIP) to select appropriate schedules from a pool of heuristically constructed solutions. A local search based on MIP neighborhoods is used as a post-optimization method. Our results show that this approach is fast, flexible and accurate when compared with current available methods.     

The heteroskedasticity-consistent covariance estimator in accounting

The main purpose of this paper is to compare the White (1980) heteroskedasticity-consistent (HC) covariance matrix estimator with alternative estimators. Many regression packages compute the White (1980) heteroskedasticity-consistent (HC) covariance matrix estimator. The common procedure in Accounting and Finance research to deal with the heteroskedasticity problem is based on this estimator, despite its worse finite-samples properties when compared with other consistent estimators. In this paper we compare several HC covariance matrix estimators based on a sample of 3706 European listed companies from Austria, Finland, France, Germany, Greece, Ireland, Italy, Netherlands, Norway, Portugal, Spain, Sweden and the United Kingdom. We conclude that HC standard errors increase when finite-samples more appropriate estimators are considered and in the most part of countries the Ohlson (1995) model coefficients estimates became statistically insignificant. This can be explained by the high leverage points in the design matrix. To the best of our knowledge it is the first time that these alternative estimators are compared with the one of White (1980) in accounting research.     

Paradisal discourse: A critical analysis of marketing and consuming Hawaii

The marketing of certain tourist destinations can be analyzed as discourse that conveys meaning to the consumer and to the consumed. This discourse, which I refer to hereafter as paradisal discourse, is a combination of Orientalism, travel writing, discourse of the Primitive, and diverse forms of Otherness. This paper begins with an exploration of discourse as a tool of knowledge and of power, illustrated through a detailed assessment of Said's Orientalism and other relevant works and concepts. The discourses of “Orientalism,” “primitivism” and travel writing are likened to the paradisal discourse found in the marketing of certain types of tourist destinations. The second section of the paper presents an historical and cultural analysis of the concept of paradise in Western society, summarizing the elements which, over time, have come to form this distinctive discourse. The third section of the paper assesses the way in which this discourse forms the framework by which a specific tropical paradise, Hawaii, is marketed and consumed today.