Extent and sources of occupational stress in university staff

Canadian higher education sector has undergone numerous changes during the past decades. Increased student enrolments, massive cuts in human resources and constant restructuring are changes likely to have had a considerable impact on all employees (e.g., administrative, trades, and faculty). While many studies conducted in different countries have shown that stress in universities is a problem of alarming proportions, to date, no study of the entire staff of a university has been carried out in Canada. This research uses an approach based on the prevention and management of the sources of occupational stress to study 1086 employees of a Quebec university. Data were collected by means of questionnaires and semi-structured interviews. It was found that the proportion of individuals who reported a high level of psychological distress was twice as high (40%) than that reported for a Quebec-wide sample (20%). Work overload, the relationship with one's superior and participation in decision making were systematically reported as high risks to employees' health. It was found that human resources management practices have not followed the rapid organizational changes which affected the university in the past years. The results are discussed in light of the risk management approach.     

Brand management: Unveiling the delusion of control

Mainstream brand management literature views brands as products or organisations carrying brand names and brand managers as being in control of brand-related actions and outcomes. By contrast, recent empirical research shows the substantial influence of stakeholders on brands. Together with brand management, stakeholders shape brands by participating in brand-related interaction. European brand research accordingly treats brands as ongoing and complex processes in constant flux. Nevertheless, literature suffers from a significant lack of theoretical underpinnings for understanding brands as complex processes; in this respect, building on European philosophy is a fruitful avenue. This paper introduces the metaphor of the rhizome and draws on European process philosophy to further develop an integrative processual understanding of brands. Brand management claiming control over brands as processes turns out to be a delusion.     

On lachin'S formulae for sample sizes of survival tests

Lachin [1981] and Lachin and Foulkes [1986] consider two groups of identically independently exponentially distributed random variables and four models of data sampling. The test problem they treat is to decide whether the two distributions are identical (null-hypothesis H⁰) or not (alternative hypothesis H¹). Basing the test on maximum-likelihood estimators and their asymptotic normal densities they obtain formulae for the group sizes necessary to yield asymptotic tests with guaranteed power under a prescribed level for specified hypotheses. It is intuitively reasonable to expect the sizes decrease the more the hypotheses differ. It the distance betwen H⁰ and H¹ is measured by the difference of the exponential parameters this assumption time or the deviation of the exponential parameter ratio from unity is the measure larger distances between the hypotheses do not necessarily lead to smaller sample sizes.     

On level and powee of anderson and hauck's peocedure for testing equivalence in compative bioavailability

The paper refers to a new procedure of Anderson and Hauck for the well-known problem of deciding whether two means of normal distributions with common but unknown variance differ within an admissible range. Analytical expressions for level and power of this method are derived and some numerical examples are given. A bound for the difference between real and no¬minal level is obtained which does not involve the variance.     

Modeling Selectivity in Count-Data Models

This article presents a method for modeling endogenous selectivity in count data. As in the case of the switching-regression model, two regimes are distinguished with potentially different data-generating processes. The regime choice is allowed to be correlated with the observed count in each of the regimes. An estimable model is obtained by transforming the underlying processes to the bivariate normal distribution. An empirical application on trip count is provided.     

Collective Labor Supply,Taxes, and Intrahousehold Allocation: An Empirical Approach

ABSTRACT

Most empirical studies of the impact of labor income taxation on the labor supply behavior of households use a unitary modeling approach. In this article, we empirically analyze income taxation and the choice of working hours by combining the collective approach for household behavior and the discrete hours choice framework with fixed costs of work. We identify the sharing rule parameters with data on working hours of both the husband and the wife within a couple. Parameter estimates are used to evaluate various model outcomes, like the wage elasticities of labor supply and the impacts of wage changes on the intrahousehold allocation of income. We also simulate the consequences of a policy change in the tax system. We find that the collective model has different empirical outcomes of income sharing than a restricted model that imposes income pooling. In particular, a specification with income pooling fails to capture asymmetries in the income sharing across spouses. These differences in outcomes have consequences for the evaluation of policy changes in the tax system and shed light on the effectiveness of certain policies.     

A sequential approach to testing seasonal unit roots in high frequency data

In this paper we introduce a sequential seasonal unit root testing approach which explicitly addresses its application to high frequency data. The main idea is to see which unit roots at higher frequency data can also be found in temporally aggregated data. We illustrate our procedure to the analysis of monthly data, and we find, upon analysing the aggregated quarterly data, that a smaller amount of test statistics can sometimes be considered. Monte Carlo simulation and empirical illustrations emphasize the practical relevance of our method.     

Further theoretical results and a comparison between two methods for approximating eigenvalues of perturbed covariance matrices

Covariance matrices, or in general matrices of sums of squares and cross-products, are used as input in many multivariate analyses techniques. The eigenvalues of these matrices play an important role in the statistical analysis of data including estimation and hypotheses testing. It has been recognized that one or few observations can exert an undue influence on the eigenvalues of a covariance matrix. The relationship between the eigenvalues of the covariance matrix computed from all data and the eigenvalues of the perturbed covariance matrix (a covariance matrix computed after a small subset of the observations has been deleted) cannot in general be written in closed-form. Two methods for approximating the eigenvalues of a perturbed covariance matrix have been suggested by Hadi (1988) and Wang and Nyquist (1991) for the case of a perturbation by a single observation. In this paper we improve on these two methods and give some additional theoretical results that may give further insight into the problem. We also compare the two improved approximations in terms of their accuracies.