Invention under uncertainty and the threat of ex post entry

This article proposes a theoretical framework for studying the invention of new products when demand is uncertain. In this framework, under general conditions, the threat of ex post entry by a competitor can deter invention ex ante. Asymmetric market power in the ex post market exacerbates the problem. The implications of these general results are examined in a series of examples that represent important markets in the computer industry. The first is a model that shows how an operating system monopolist, by its mere presence, can deter the invention of complements, to its own detriment as well as that of society. The implications of policies such as patent protection, price regulation, and mandatory divestiture are considered. Three additional examples consider the ability of a monopolist in one market to commit to bundling an unrelated product, a pair of horizontally differentiated firms that can add a new feature to their products, and a platform leader that can be challenged in its base market by the supplier of a complementary product.     

Trends and developments in industrial relations and industrial relations law: Trade union discipline and non-strikers

Perhaps the most controversial change introduced in the 1988 Employment Act was the statutory right given to union members not to be disciplined by their unions for continuing to work during lawful industrial action approved by a majority in a secret ballot. Here the authors examine the legal contexts, implications for trade unions and the wider industrial relations and political significance of this important new right.     

The Effects of Norms on Investor Reactions to Derivative Use

Prior research indicates that a firm's use of derivatives to manage business risks is viewed favorably by investors. However, these studies do not consider a potentially key factor in this setting—namely, the typical behavior (or norms) regarding derivatives by other firms in the industry or the firm itself. In this paper, we report the results of multiple experiments that test whether norms are influential in affecting investors’ evaluations of firms’ derivatives choices. Our results show that the generally favorable reactions to derivative use actually reverse and become unfavorable when firms’ derivative decisions are inconsistent with industry or firm norms. Somewhat surprisingly, though, we find that industry and firm norms are not viewed similarly by investors. These results expand our understanding of how investors respond to firm's derivative use decisions and demonstrate the role of norms as factors that influence investors’ judgments in financial reporting settings. Our results have implications for firm managers making decisions about derivative use.     

Dependent care and the workplace: An analysis of management and employee perceptions

This study attempts to identify differences in the perceptions of top management (defined as CEOs, directors, and presidents) and employees (defined as middle and supervisory management) regarding (a) the effects of dependent care responsibilities on job performance, and (b) the extent of a firm's responsibility in providing support for those faced with caring needs concerning eldercare, childcare, substance abuse, and mental/physical handicaps. The results indicate that these two groups have significantly different perceptions of the effect of dependent care responsibilities on job performance, and on the firm's responsibility in providing support for three types of dependent care.     

Developing and Measuring the Impact of an Accounting Ethics Course that is Based on the Moral Philosophy of Adam Smith

Accounting ethics failures have seized headlines and cost investors billions of dollars. Improvement of the ethical reasoning and behavior of accountants has become a key concern for the accounting profession and for higher education in accounting. Researchers have asked a number of questions, including what type of accounting ethics education intervention would be most effective for accounting students. Some researchers have proposed virtue ethics as an appropriate moral framework for accounting. This research tested whether Smithian virtue ethics training, based on Adam Smith’s “The Theory of Moral Sentiments” (1790/1976), is effective in improving accounting student’s cognitive moral development (CMD). This research used a pre-test, treatment, post-test, quasi-experimental design utilizing the Defining Issues Test 2 (DIT-2) instrument to measure students’ CMD. Analysis of DIT-2 gain scores did show a significant improvement in subjects’ personal interest scores and a significant improvement in an overall measure of CMD, the DIT N2 index, whereas their DIT-2 post-conventional scores did not improve significantly. This research supports the proposition that the concepts contained in Smithian virtue ethics can contribute to an effective accounting ethics education intervention. However, further research is required to determine what concepts should be included to improve accounting students’ post-conventional moral reasoning.     

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Closed-form Bayesian inferences for the logit model via polynomial expansions

Articles in Marketing and choice literatures have demonstrated the need for incorporating person-level heterogeneity into behavioral models (e.g., logit models for multiple binary outcomes as studied here). However, the logit likelihood extended with a population distribution of heterogeneity doesn’t yield closed-form inferences, and therefore numerical integration techniques are relied upon (e.g., MCMC methods). We present here an alternative, closed-form Bayesian inferences for the logit model, which we obtain by approximating the logit likelihood via a polynomial expansion, and then positing a distribution of heterogeneity from a flexible family that is now conjugate and integrable. For problems where the response coefficients are independent, choosing the Gamma distribution leads to rapidly convergent closed-form expansions; if there are correlations among the coefficients one can still obtain rapidly convergent closed-form expansions by positing a distribution of heterogeneity from a Multivariate Gamma distribution. The solution then comes from the moment generating function of the Multivariate Gamma distribution or in general from the multivariate heterogeneity distribution assumed. Closed-form Bayesian inferences, derivatives (useful for elasticity calculations), population distribution parameter estimates (useful for summarization) and starting values (useful for complicated algorithms) are hence directly available. Two simulation studies demonstrate the efficacy of our approach. JEL Classification C6 · C8 · M3     

Economic importance and statistical significance: Guidelines for communicating empirical research

Abstract

A critical objective for many empirical studies is a thorough evaluation of both substantive importance and statistical significance. Feminist economists have critiqued neoclassical economics studies for an excessive focus on statistical machinery at the expense of substantive issues. Drawing from the ongoing debate about the rhetoric of economic inquiry and significance tests, this paper examines approaches for presenting empirical results effectively to ensure that the analysis is accurate, meaningful, and relevant for the conceptual and empirical context. To that end, it demonstrates several measurement issues that affect the interpretation of economic significance and are commonly overlooked in empirical studies. This paper provides guidelines for clearly communicating two distinct aspects of “significance” in empirical research, using prose, tables, and charts based on OLS, logit, and probit regression results. These guidelines are illustrated with samples of ineffective writing annotated to show weaknesses, followed by concrete examples and explanations of improved presentation.     

A de-biased direct question approach to measuring consumers' willingness to pay

Knowledge of consumers' willingness to pay (WTP) is a prerequisite to profitable price-setting. To gauge consumers' WTP, practitioners often rely on a direct single question approach in which consumers are asked to explicitly state their WTP for a product. Despite its popularity among practitioners, this approach has been found to suffer from hypothetical bias. In this paper, we propose a rigorous method that improves the accuracy of the direct single question approach. Specifically, we systematically assess the hypothetical biases associated with the direct single question approach and explore ways to de-bias it. Our results show that by using the de-biasing procedures we propose, we can generate a de-biased direct single question approach that is accurate enough to be useful for managerial decision-making. We validate this approach with two studies in this paper.