Derived versus full name brand extensions

Most brand extension studies follow the assumption that brand extensions use the full original parent brand name (e.g., Oral-B tooth brush may extend to Oral-B dental floss). However, some companies use derived brand names in their brand extension strategies (e.g. Nestea Iced Tea). This study explores the advantages and disadvantages of derived brand extensions compared to full name extensions. The study examines the importance of target market effects on the evaluation of both brand extension strategies. Findings support the idea that derived brand names leverage parent brand evaluations and protect parent brand from extension failures.     

Optimal Debt? On the Insurance Value of International Debt Flows to Developing Countries

According to reputation models of sovereign debt, the incentives to repay are proportional to the income insurance benefits provided by the access to international markets. This paper, however, documents that private net lending to developing countries exhibits a procyclical or acyclical pattern, contradicting this premise. By contrast, official debt net flows exhibit a countercyclical patter. In addition, the paper shows that (both current and past) defaults are associated with lower net debt flows. The findings suggest that, while reputation models may explain the preferred creditor status enjoyed by official lenders, they cannot account for the presence of sovereign debt markets in developing countries.     

Productivity and efficiency with discrete variables and quadratic cost function

We propose an index of productivity based on a quadratic cost function and developed for discrete data including technical and allocative inefficiency, jointly with technical change and returns to scale, as determinants of Total Factor Productivity. This new index is applied to Spanish stevedoring industry so as to identify the sources of change in the productivity of a multiproductive activity, where some companies do not produce some of the outputs. In this context, the functional quadratic form and the productivity index proposed prove particularly useful.     

Using a 401(h) account to fund retiree health benefits from your pension plan

If a health and welfare plan covering retirees faces financial shortfalls, administrators and trustees can fund retiree health benefit payments from a related pension plan that may be in better condition. This method is legal and ethical, but it requires sophisticated accounting techniques for creating an account that provides retiree members with promised benefits while meeting statutory and regulatory requirements.     

Complete and incomplete markets with short-sale constraints

Summary. This paper argues that the introduction of a short-sale constraint in the Arrow-Radner framework invalidates standard definitions of complete and incomplete markets. Two threshold values with familiar properties arise in this constrained set-up. If short sales are not allowed on some security, then financial markets will be incomplete in the standard sense. Beyond a particular level of the short-sale bound, financial markets are “complete”, since the short-sale constraint is not effective. For intermediate bounds the distinction between complete and incomplete financial markets is blurred. Although some technical definitions hold, agents can not fully transfer wealth among states. These intermediate cases, called “technically incomplete markets”, exhibit interesting welfare properties. For instance, the resulting equilibrium allocations may not be Pareto-dominated by those of the non-restricted complete markets equilibrium. Received: November 28, 2000; / revised version: November 9, 2001     

A re-examination of international portfolio diversification based on evidence from leveraged bootstrap methods

This article investigates the issue of international portfolio diversification with respect to the three largest financial markets in the world—namely the US, Japan and the UK. In addition to making use of traditional portfolio analysis, we also suggest a procedure to calculate bootstrap correlation coefficients that can take into account the dynamic structure between the markets as measured by bootstrapped causality tests. Weekly data is used. The results from the first approach are supporting international diversification. The bootstrapped causality tests provide additional empirical support for this conclusion since the size of the causal effects is negligible and the bootstrap correlations are similar as the standard ones.     

How Much Do Strategic Groups Matter?

Understanding firm heterogeneity is the first step towards explaining the dispersion of profit rates between firms. This paper proposes a framework that distinguishes between three sources of competitiveness, related to three levels of firm heterogeneity, which give rise to industry competencies, strategy-specific competencies and firm-specific competencies. Using data from a Spanish survey we estimate the relative importance of these three sources of heterogeneity. We show that taking the group effect into account significantly differentiates our results from those obtained in previous research. We provide new evidence on the existence of a significant group effect and also an estimate of its relative importance vis á vis firm and industry effects.     

Debt Sustainability Under Catastrophic Risk: The Case for Government Budget Insurance

Natural disasters are an important source of vulnerability in the Caribbean region. Despite being one of the more disaster-prone areas of the world, it has the lowest levels of insurance coverage. This article examines the vulnerability of Belize's public finance to the occurrence of hurricanes and the potential impact of insurance instruments in reducing that vulnerability. The article finds that catastrophic risk insurance significantly improves Belize's debt sustainability. In addition, the methodology employed makes it possible to estimate the appropriate level of insurance, which for the case of Belize is a maximum coverage of US$120 million per year. International organizations can play a role in assisting countries to overcome distortions in insurance markets, as well as in helping to relax internal political resistance to the purchase of insurance policies.     

Personal values and leadership effectiveness

The study sought to evaluate the personal values profile, the predominant leadership styles, the leadership effectiveness, and the relationship between personal values balance and leadership effectiveness of a group of Brazilian executives. In order to evaluate the personal values profile a closed instrument of the rank order type has been developed and applied. To identify the predominant leadership styles, as well as the leadership effectiveness of the involved executives, it has been used as an instrument available in the market. To verify the relationship between personal values balance and leadership effectiveness, the linear regression method has been used computing the linear correlation coefficient between the before mentioned variables, involving 400 executives. The study has shown that the executives have an unbalance in their personal values profile, with predominance of economic and theoretical values. Additionally the study has uncovered lack of flexibility regarding the leadership styles, presenting styles of selling and sharing ideas as dominants. The study also showed that the leadership effectiveness of the involved executives was at a moderate level. Finally, the research pointed out a high positive relationship between personal values balance and leadership effectiveness, and, furthermore, it showed a better balance of personal values, if one considered only the part of the sample involving executives working in organizations which presented better results in the three previous years (50 executives).     

On the effect of prior assumptions in Bayesian model averaging with applications to growth regression

We consider the problem of variable selection in linear regression models. Bayesian model averaging has become an important tool in empirical settings with large numbers of potential regressors and relatively limited numbers of observations. We examine the effect of a variety of prior assumptions on the inference concerning model size, posterior inclusion probabilities of regressors and on predictive performance. We illustrate these issues in the context of cross‐country growth regressions using three datasets with 41–67 potential drivers of growth and 72–93 observations. Finally, we recommend priors for use in this and related contexts. Copyright © 2009 John Wiley & Sons, Ltd.