Conflicts of interest,information provision,and competition in the financial services industry

In some markets sellers have better information than buyers over which products best serve a buyer's needs. Depending on the market structure, this may lead to conflicts of interest in the provision of information by sellers. This paper studies this issue in the market for financial services. The analysis presents a new model of competition between banks, where price competition influences the ensuing incentives for truthful information revelation. We also compare conflicts of interest in two different firm structures, specialized banking and one-stop banking.     

Estimating temporal trends in preferences measured by graded paired comparisons

A sizable marketing research literature on preference measurement, prediction, and explanation has thus far been more concerned with point estimates of preference than with consistent changes over time. Such temporal trends can be estimated using data collected from graded paired comparisons. An appropriate technique for deriving individual and group trend parameters is first described and then illustrated using data from an experiment dealing with aesthetic preferences. Suggestions are offered concerning its advantages and limitations for applications in marketing.     

Relocation Opportunities and Mortgage Default

This paper presents a theoretical model of residential mortgage default when borrowers face beneficial as well as costly relocation opportunities. It amplifies and extends previous work by providing explicit conditions leading to default. The model also establishes when a borrower's relocation decision and default decision are dependent and when they are not.
A central result is that there is a range of book equity wherein the decision to default is not determined solely by the current level of equity or the borrower's ability to continue the mortgage payments. Rather, various costs and benefits, both tangible and intangible, enter into the decision. Specific conditions are identified that lead to relocation without default, default and relocation, and no default or relocation. The effects of changes in the variables upon default probability are presented.
Assuming that the borrower does not wish to retain ownership in the property, the model also predicts whether an individual borrower will choose prepayment or default when a relocation is made. The choice depends on the value of the relocation opportunity faced by the borrower, as well as financial variables such as house value, mortgage balance, and transaction costs. This finding suggests that existing empirical analyses of default may have omitted explanatory variables.     

Optimal capital structures for private firms

This article shows how to construct an optimal capital structure for a private firm. Since the agents who supply the firm’s capital are risk averse, they diversify by holding both debt and equity. This can mitigate, or even eliminate, the classical risk shifting problem. There is a wealth effect since the optimal capital structure, which can involve multiple types of debt, depends on the amount of wealth that each agent contributes to the firm. However, it is shown that the agents’ equity holdings do not depend on the contributed amounts of wealth. Thus the model can produce a wedge between ownership rights and equity cashflow rights. These features are illustrated in a firm with three agents.     

ORGANIZATIONAL CONTEXT AND THE INTERPRETATION OF STRATEGIC ISSUES: A NOTE ON CEOS’ INTERPRETATIONS OF FOREIGN INVESTMENT*

This paper explores the relationship between organizational context and the interpretation of strategic issues by examining the hypothesis that CEOs' interpretations of foreign investment in the USA are influenced by the organizational context in which they are embedded. Three aspects of organizational context - the global business experience of the firm; the firm's level of organizational inertia (as represented by firm age and size); and the resources available for responding - are examined as predictors of CEOs' perceptions of foreign investment as a threat or an opportunity. Analysis of data from 320 organizations, controlled by industry, shows that global business experience, firm size, and perceived capability are significant predictors of the perception of threat and opportunity. the discussion addresses the implications of these findings for future research on issue interpretation and organizational context.     

The Effects of Bailouts and Soft Budget Constraints on the Environment

This paper investigates the effects of financial relief programs, commonly referred to as ‘bailouts’, on pollution. A partial equilibrium soft budget constraint model of the firm is developed to identify the effect of bailouts on the emission decisions of firms. The results from the model indicate that the expectation of bailouts increases ex ante emissions. A more stringent emissions tax is required to achieve the same level of emissions if bailouts are available than if bailouts are not available; however, a tradable permit system will maintain the same emissions level if bailouts are available as when bailouts are not available.     

Literature-related discovery (LRD): Lessons learned, and future research directions

Literature-related discovery (LRD) is the linking of two or more literature concepts that have heretofore not been linked (i.e., disjoint), in order to produce novel, interesting, plausible, and intelligible knowledge (i.e., potential discovery). The open discovery systems (ODS) component of LRD starts with a problem to be solved, and generates solutions to that problem through potential discovery. We have been using ODS LRD to identify potential treatments or preventative actions for challenging medical problems, among myriad other applications. The five immediately preceding papers in this Special Issue describe the application of ODS LRD to Raynaud's Phenomenon (RP), cataracts, Parkinson's Disease (PD), Multiple Sclerosis (MS), and Water Purification (WP). We describe the lessons learned from each application, and how the techniques can be improved further.Generation of much potential discovery using ODS LRD is possible when the conceptual roadblocks to discovery are removed. Some of these roadblocks include use of numerical filters that are unrelated to generating discovery, and excessive reliance on literatures directly related to the problem literature of interest. The issue of how to handle large amounts of potential discovery has not been addressed in the literature, since most ODS LRD researchers have tried to find a relatively few potential discovery items. We present a development strategy that capitalizes on the large amounts of potential discovery we have identified.     

Do we now collect any revenue from taxing capital income?

The U.S. income tax system has long been recognized as a hybrid of an income and consumption tax system, with elements that do not fit naturally into either pure system. What it actually is has important policy implications for, among other things, understanding the impact of moving closer to a pure consumption tax regime. In this paper, we examine the nature of the U.S. income tax system by calculating the revenue and distributional implications of switching from the current system to one form of consumption tax, a modified cash flow tax.     

Domain‐Relevant Commitment and Individual Technical Innovation Performance

Individual innovators play a critical organizational role in that they generate and often champion technology and product ideas. Amidst an ongoing stream of organizational and team innovation research, few empirical studies focus on differences in individual innovation performance despite the importance of the individual innovator to a firm's innovation efforts. Based on goal commitment theory, we introduce a new domain‐relevant commitment construct and develop a conceptualization of conditional indirect effects. Our model suggests that relevant individual abilities enhance commitment to technical innovation and innovation performance while also insulating against the impact of situational variables, making employees' commitment to innovation performance less dependent upon context. Hypotheses are tested using two sources of data and a sample of 339 R&D professionals from a Fortune 100 industrial firm. Results suggest that commitment to innovation is a key motivational factor in explaining individual technical innovation performance. Situational characteristics impact motivation differently for individuals with lower vs. higher ability levels, even in this context in which truly low‐ability individuals, in the absolute sense, have been screened out by the employment selection process. The relationship between commitment and innovation performance is strengthened by higher levels of individual ability.