Determinants of cross-border merger premia

Firms have a broad range of rationales for engaging in cross-border mergers and other forms of foreign direct investment (FDI); while some companies are in search of the cost advantages provided by foreign resources, other firms are primarily interested in gaining access to new markets. Although a significant amount of research has explored the patterns of FDI, little work has been done to assess what influences the value of cross-border mergers and, in particular, what determines why some cross-border mergers are expected to result in higher synergies when compared to others. This paper explores what characteristics of a merger are expected to increase the synergies that a firm will accrue from a cross-border merger by testing how a variety of factors impact the premia paid to effectuate a cross-border merger. We find that firms are willing to pay a higher premium to obtain greater control over foreign firms, and that this control is even more important in mergers involving firms in emerging markets. We also find that the factors affecting deal premia in cross-border mergers differ based on whether the acquirer has a high or low intangible asset intensity level.     

Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies Using Resampling Methods

Good statistical practice dictates that summaries in Monte Carlo studies should always be accompanied by standard errors. Those standard errors are easy to provide for summaries that are sample means over the replications of the Monte Carlo output: for example, bias estimates, power estimates for tests and mean squared error estimates. But often more complex summaries are of interest: medians (often displayed in boxplots), sample variances, ratios of sample variances and non‐normality measures such as skewness and kurtosis. In principle, standard errors for most of these latter summaries may be derived from the Delta Method, but that extra step is often a barrier for standard errors to be provided. Here, we highlight the simplicity of using the jackknife and bootstrap to compute these standard errors, even when the summaries are somewhat complicated. © 2014 The Authors. International Statistical Review © 2014 International Statistical Institute     

AGAINST LEVIATHAN: A REVIEW OF CLASSICAL LIBERALISM IN THE 21ST CENTURY: ESSAYS IN HONOUR OF NORMAN P. BARRY1

Classical Liberalism in the 21st Century is a collection of essays from colleagues and friends of the late Norman Barry, Professor of Social and Political Theory at the University of Buckingham. Most share Barry's Hayekian perspective. The essays cover themes such as: international competition in trade and between jurisdictions; the corporate social responsibility fad; secular economic errors; policies relating to alleged global warming; the state's impotence at removing externalities; the moral functions of competition; and, above all, Barry's rigour and eloquence in the economic and political case for freedom.     

The Effects of Victim Anonymity on Unethical Behavior

We theorize that victim anonymity is an important factor in ethical decision making, such that actors engage in more self-interested and unethical behaviors toward anonymous victims than they do toward identifiable victims. Three experiments provided empirical support for this argument. In Study 1, participants withheld more life-saving products from anonymous than from identifiable victims. In Study 2, participants allocated a sum of payment more unfairly when interacting with an anonymous than with an identifiable partner. Finally, in Study 3, participants cheated more from an anonymous than from an identifiable person. Anticipated guilt fully mediated these effects in all three studies. Taken together, our research suggests that anonymous victims may be more likely to incur unethical treatment, which could explain many unethical business behaviors.     

Approach and Avoidance Motivation: Investigating Hedonic Consumption in a Retail Setting

Retail shopping studies often conclude that desirable shopper behaviors, such as spending more money, indicate underlying approach motivation, while undesirable behaviors, such as leaving the store, indicate underlying avoidance motivation. However, hedonic consumption would seem to provide an opportunity not only for approaching fun and excitement but also for avoiding problems and stress in everyday life. This study investigates approach and avoidance motivations in a hedonic consumption context. Results show that both approach and avoidance motivation lead to heightened hedonic motivations for shopping and to more positive shopper evaluations. Additional investigation reveals several differences by gender and across four shopping contexts. Several theoretical and managerial implications are offered.     

Does a factor Phillips curve help? An evaluation of the predictive power for U.S. inflation

This article evaluates various models’ predictive power for U.S. inflation rate using a simulated out-of-sample forecasting framework. The starting point is the traditional unemployment Phillips curve. We show that a factor Phillips curve model is superior to the traditional Phillips curve, and its performance is comparable to other factor models. We find that a factor AR model is superior to the factor Phillips curve model, and is the best bivariate or factor model at longer horizons. Finally, we investigate a New Keynesian Phillips curve model, and find that its forecasting performance dominates all other models at the longer horizons.     

Retail Employment Research: Scarce Evidence in an Environment of Change

National trends in retail employment show that considerable structural change has already taken place within a now stable workforce; future change may be no less radical. As a byproduct of research designed to reveal the detailed characteristics of change, this article aims to review the extremely variable quality and usefulness of both official and alternative sources of information on retail employment and to present a summarised analysis of the most significant components of this change both nationally and regionally. The conclusions are that considerable problems both in terms of data availability and definition will make it increasingly difficult to recognise the effects of forthcoming medium-and long-term employment impacts.