Most stable sample size determination in clinical trials

This paper is devoted to robust Bayes sample size determination under the quadratic loss function. The idea behind the proposed approach is that the smaller a chosen posterior functional, the more robust the posterior inference. Such desired posterior functional has been taken, in the literature, as the range of posterior mean over a class of priors but we show that dealing with the posterior mean is not the only method leading to an optimal sample size. To provide an alternative approach, we propose implementing most stable rules into the context of sample size determination. We discuss properties of the desired most stable estimate and provide some examples in the normal model. We then compare the proposed approach with that of a recent global robustness study from both numerical and theoretical aspects. We illustrate the practical utility of our proposed method by analyzing a real data set.     

Value relevance of advertising expenditure: A review of the literature

This paper presents a review of the relevant empirical literature on advertising value relevance. The current dominant accounting practice is to treat advertising as a current period expense. There has been growing evidence, however, to suggest that advertising should be viewed as an investment in long‐term brand equity. While the primary focus is on the valuation studies of advertising expenditure, the paper also provides an overview of various other studies that relate advertising to profitability or sales of the firm or industry to investigate the effects of advertising expenditure. As a consequence, it is emphasized that there has been a recent shift to the use of valuation models in exploring the nature of advertising expenditure. Since market value captures both the current and future profitability effects of advertising, valuation models are often seen as a better alternative in exploring the intangible nature of advertising expenditure. It is found that the bulk of evidence on advertising value relevance comes from the US, where there has historically been greater disclosure of advertising expenditure. There appears to be little evidence on this matter in the UK, however. This may largely be attributed to the lack of advertising data availability in the UK.     

Vacation Leave,Work Hours,and Wages: New Evidence from Linked Employer–Employee Data

This paper provides new evidence on the determinants of vacation leave and its relationship to hours worked and hourly wages by examining the case of Canada. Previous studies from the USA, using individual‐level data, have revealed that annual work hours fall by around 53 hours for each additional week of vacation used. Exploiting a linked employer–employee dataset that allows to control for detailed observed demographic, job, and firm characteristics, we find instead that annual hours of work fall by only 29 hours for each additional week of vacation used. Our findings support the hypothesis that pressure at work may lead employees to use more vacation days but also causes them to work for longer hours.