Underwriter syndication and corporate governance

The main purpose of this paper is to examine underwriters’ response to issuers’ ineffective corporate governance. Given the growing importance of corporate governance for the success of equity offerings, we examine this response using a sample of seasoned equity offerings (SEOs). Previous studies suggest various rationales behind underwriter syndication, such as risk sharing, market-making, information production, certification, and monitoring. We offer an information-asymmetry-reduction hypothesis for the persistence of underwriter syndication. We argue that less effective corporate governance decreases information credibility, which, in turn, increases information asymmetry, leading underwriters to increase syndicate size to mitigate subsequent agency problems. Consistent with this prediction, we find that the size of the underwriter syndication is inversely related to proxies that measure the effectiveness of corporate governance. Results remain robust even after controlling for other confounding factors.     

Mexican national cross-border shopping: Exploration of retail tourism

This exploration of cross-border shopping by Mexican national shoppers at a regional discount outlet mall studies the: (1) economic impacts of their expenditures on the local and regional economies, and (2) activities they engage in while at the outlet malls and benefits received from shopping there. Spending by cross-border shoppers varied by accommodation type; hotels or motels/friends and family spent approximately $800 (U.S.) on clothing daily and condominiums/day visitors between $400 and $475 (U.S.). The multiplier for cross-border spending at the local level ranged from 1.27 to 1.45. Top cross-border shopper activities were shopping and buying, followed by eating, and visiting.     

To Do Well by Doing Good: Improving Corporate Image Through Cause-Related Marketing

As part of their corporate social responsibility, many organizations practice cause-related marketing, in which organizations donate to a chosen cause with every consumer purchase. The extant literature has identified the importance of the fit between the organization and the nature of the cause in influencing corporate image, as well as the influence of a connection between the cause and consumer preferences on brand attitudes and brand choice. However, prior research has not addressed which cause composition most appeals to consumers or the impact of cause choice on corporate image. A between-subjects field experiment in the Netherlands examines the influence of three core cause attributes??cause type, cause scope, and cause acuteness??on consumers?? perceptions of corporate image. Furthermore, this experiment examines the extent to which consumer identification with the cause mediates the influence of the cause attributes on corporate image. The findings indicate that identification with the cause leads to more positive evaluations of marketing campaigns for cause type and cause scope. Also, however, our results uncover a negative direct relationship between cause scope and corporate image. Cause acuteness is only marginally influential in corporate image perceptions. By proposing and testing a comprehensive model of the influence of cause attributes on corporate image in cause-related marketing, this article provides important implications and suggests avenues for further research.     

Research and development target‐setting difficulties addressed through the emergent method: technology forecasting using data envelopment analysis

The aim of this study is to provide a foundation for researchers and managers to discuss and resolve difficulties associated with research and development (R&D) target‐setting. While multiple studies mention the difficulty of R&D target‐setting, few have compiled reasons for these difficulties or addressed this issue in detail. This paper provides one of the first studies outlining reasons for R&D target‐setting difficulties through a literature review. It also provides an initial set of analyses and results after applying an emerging quantitative method, Technology Forecasting Using Data Envelopment Analysis (TFDEA), to illustrate these difficulties step‐by‐step to commercial airplanes. Results include determining the state of art in commercial airplane technology and technological rate‐of‐change variants in setting R&D targets.     

Characteristics and Information Value of Credit Watches

We analyze credit watch and rating actions to better understand the role of credit watches in the credit rating process. We find that watch actions are more frequently prompted by specific, publicly known events than are rating actions. The likelihood that a watch action precedes a rating action varies systematically with proxies for investor demand for credit quality information and the adverse consequences of issuing a rating change prematurely. Credit watches occur more often in response to deterioration in credit quality, and issuers make concerted efforts to address the concerns that prompted down watches. Down watches are less likely than up watches to indicate the direction of the subsequent rating change. Watch announcements are associated with abnormal stock returns, indicating that credit watch actions are significant information events. Our results suggest that credit watches are informative and facilitate the stability of ratings by allowing firms to correct deficiencies and prevent downgrades.     

Extreme jobs: the dangerous allure of the 70-hour workweek

Today's overachieving professionals labor longer, take on more responsibility, and earn more than the workaholics of yore. They hold what Hewlett and Luce call "extreme jobs", which entail workweeks of 60 or more hours and have at least five often characteristics-such as tight deadlines and lots of travel--culled from the authors' research on this work model. A project of the Hidden Brain Drain Task Force, a private-sector initiative, this research consists of two large surveys (one of high earners across various professions in the United States and the other of high-earning managers in large multinational corporations) that map the shape and scope of such jobs, as well as focus groups and in-depth interviews that get at extreme workers' attitudes and motivations. In this article, Hewlett and Luce consider their data in relation to increasing competitive pressures, vastly improved communication technology, cultural shifts, and other sweeping changes that have made high-stakes employment more prominent. What emerges is a complex picture of the all-consuming career-rewarding in many ways, but not without danger to individuals and to society. By and large, extreme professionals don't feel exploited; they feel exalted. A strong majority of them in the United States-66%-say they love their jobs, and in the global companies survey, this figure rises to 76%. The authors' research suggests, however, that women are at a disadvantage. Although they don't shirk the pressure or responsibility of extreme work, they are not matching the hours logged by their male colleagues. This constitutes a barrier for ambitious women, but it also means that employers face a real opportunity: They can find better ways to tap the talents of women who will commit to hard work and responsibility but cannot put in over-long days.     

Linking nursing workload and performance indicators in ambulatory care

More and more ambulatory care organizations are using nursing report cards to monitor and evaluate the quality and effectiveness of nursing care in the ambulatory setting. Nurse staffing levels is usually one of the items included in a nursing report card and the one most scrutinized by ambulatory care administrators. One strategy employed by the nursing leadership at the South Texas Veterans Healthcare System to justify nurse staffing levels is linking administrative staffing monitors with nurse-sensitive outcomes via workload and performance indicators. Through this approach, nurse leaders are able to justify nurse staffing level changes, needed technology changes, process improvements, and/or workflow needs to administrators with positive results and support.     

Effect of foreign GAAP earnings and Form 20-F reconciliations on revisions of analysts' forecasts

A controversial area of U.S. securities regulations involves the Securities and Exchange Commission's (SEC) financial reporting requirements for foreign firms, specifically, the necessity of providing a quantitative reconciliation to U.S. GAAP (Form 20-F). The results of earnings-returns research to date indicate that the release of foreign GAAP earnings provides important information. However, the results of earnings-returns studies using reconciled information are mixed. Instead of using an earnings-returns methodology adopted in prior research, this study utilizes analysts' revisions as a market indicator of the effect of information released in foreign GAAP earnings and the reconciled information in Form 20-F. Additionally, the study investigates the influence of four firm-specific variables in the firm's information environment—similarities of accounting systems, analyst following, difference between reconciled earnings and foreign GAAP earnings, and dispersion of analysts' expectations—on positive abnormal revision activities of financial analysts at the time of filing Form 20-F.The results indicate that the release of foreign GAAP earnings (at earnings announcement dates) and reconciled information (at the time of filing Form 20-F) contains relevant information as measured by analysts' revisions. Further, variables representing analyst following, change in reconciled earnings, and dispersion of analysts' expectations are significant in explaining the variation observed in positive abnormal revisions.     

Bayesian selection of technology assumptions for the transformation from supply-use to input–output tables

ABSTRACT

In the construction of input–output models from supply-use tables, technology assumptions disambiguate how an industry uses inputs in the production recipe of multiple outputs. This paper uses Bayes' theorem to select technology assumptions, taking into account empirical observations. The paper presents a formulation to explore hybrids between product and industry technology assumptions in product-by-product tables. We then present Markov chain Monte-Carlo techniques to implement the Bayesian method for selecting technology assumptions. We apply the method in a case study using Eurostat supply-use tables of 2004 and 2005, exhibiting a volume of secondary products of less than 13%, and 59 products and industries per country. The results show that the choice of technology is not important, given that there is no strong evidence in favour of any of them.     

Phases of Globalization,Wages and Inequality

Open Economies Review - To analyse the globalization-wages-inequality relationship, we extend the North-South Heckscher-Ohlin-Samuelson (HOS) model by assuming (i) that the size of the South...