A solution to the random assignment problem on the full preference domain

We consider the problem of allocating a set of indivisible objects to agents in a fair and efficient manner. In a recent paper, Bogomolnaia and Moulin consider the case in which all agents have strict preferences, and propose the probabilistic serial (PS) mechanism; they define a new notion of efficiency, called ordinal efficiency, and prove that the probabilistic serial mechanism finds an envy-free ordinally efficient assignment. However, the restrictive assumption of strict preferences is critical to their algorithm. Our main contribution is an analogous algorithm for the full preference domain in which agents are allowed to be indifferent between objects. Our algorithm is based on a reinterpretation of the PS mechanism as an iterative algorithm to compute a “flow” in an associated network. In addition we show that on the full preference domain it is impossible for even a weak strategyproof mechanism to find a random assignment that is both ordinally efficient and envy-free.     

The Cost of Monopoly in Australian Manufacturing

This article looks at the deadweight loss arising from monopoly elements in Australian manufacturing under various assumptions and its relationship with the level of concentration.     

Accelerating leadership performance at the top: Lessons from the Bank of America's executive on-boarding process

This article examines the critical role that on-boarding processes play in the successful development of executive leadership talent. It is based on an in-depth case analysis of one organization's sophisticated on-boarding intervention. Specifically, we explore the potential of these interventions both to pre-empt leadership failures and to accelerate the knowledge and relationships necessary to step into an executive role. Lessons are provided on designing on-boarding interventions for senior leaders.     

Do converters facilitate the transition to a new incompatible technology? A dynamic analysis of converters

This paper analyzes the process of transition in standards between incompatible technologies when converters are available. Contrary to a common presumption that converters facilitate the transition from an old technology to an otherwise incompatible new technology, I find circumstances in which the possibility of transition is blockaded by the existence of converters. In the welfare analysis of converters, a distinction is made between ex ante and ex post efficiency effects. Finally, I also analyze the equilibrium behavior in the provision of converters and compare it to the socially optimal outcome.     

Do analysts who understand accounting conservatism exhibit better forecasting performance?

This study investigates the performance of analysts when they match the asymmetric timeliness of their earnings forecast revisions (i.e., asymmetric forecast timeliness) with the asymmetric timeliness of firms’ reported earnings (i.e., asymmetric earnings timeliness). We find that better timeliness‐matching analysts produce more accurate earnings forecasts and elicit stronger market reactions to their forecast revisions. Further, better timeliness‐matching analysts issue less biased earnings forecasts, more profitable stock recommendations and have more favorable career outcomes. Overall, our results indicate that analysts’ ability to incorporate conditional conservatism into their earnings forecasts is an important reflection of analyst expertise and professional success.     

A Content Analysis of Bonus Pack Promotions

Bonus packs created by manufacturers have been characterized by scholars as special factory packs offering the consumer extra product for the same price or at no additional cost. However, this portrayal may fail to fully capture what consumers actually encounter in stores during and following a bonus pack promotion. Indeed, little is known about the types of products that manufacturers promote as bonus packs and how offers for them are specified, how retailers price them, and also what happens when the offers are discontinued. To address these shortcomings, a content analysis is conducted. The results illustrate a richness to bonus pack promotions that previous views of the topic have not described.     

Cents of self: How and when self-signals influence consumer value derived from choices of green products

Consumers choosing between green and conventional products often believe such choices imply trade-off decisions, such that green products provide morally-related advantages but embody price or quality-related disadvantages compared to standard products. We study the consequences of such trade-offs for consumer value in the context of privately consumed green products. To develop our theoretical model, we draw from the perspective of self-signaling – consumers' act of signaling information about their internal qualities to their own self through choice. We explore how and when self-signals from such trade-off decisions influence consumer value gained from comparative choices of green versus standard products. Six studies were conducted, using divergent measures of the dependent variable, multiple product categories, and measured as well as manipulated self-concept clarity (SCC). We find a joint effect of self-signals from comparative choices and self-concept clarity on consumer value, such that positive self-signals lead to incrementally higher satisfaction and willingness to pay for consumers with low SCC but not significantly so for those with high SCC. Results show that this joint effect may occur for consumers with low SCC because they gain incremental value from perceived self-concept alignment – a state that is construed from the perception that a self-signal is aligned with the consumer's self-concept. This study contributes to marketing research by proposing and testing a novel mechanism that can underlie self-signaling.     

The Many Layers of Meaning of 007

Until Umberto Eco developed a semiotic analysis of Ian Fleming's series of novels with James Bond as the protagonist, few literary critics took them seriously. That was a mistake. There are many layers of meaning in Fleming's simple prose, and some of those layers may still elude analysts. The Bond series of books and novels have been mined for ideas about cultural change, sexuality, politics, consumerism, the body as symbol, and other features of the Bond persona. Yet, all of these methods of analysis fail to dig beneath the surface. To fully comprehend the character of James Bond, this article suggests that one must take into account the imperialism of the author, Ian Fleming, who strongly believed in the national destiny of England. Another crucial feature that underlies the motivations of James Bond is the ideology of eugenics, which Fleming wholeheartedly embraced. Finally, some features of the Bond series only make sense if one considers the mystical and alchemical beliefs of Fleming. The heroic archetype of James Bond is not merely a symbol of patriotism. Bond, in a sense, is an alchemist who is able to draw upon elements of fantasy to bring about a purpose that is even higher than nationalism.     

Major bleeding risk and healthcare economic outcomes of non-valvular atrial fibrillation patients newly-initiated with oral anticoagulant therapy in the real-world setting

Aims: This study compared the risk for major bleeding (MB) and healthcare economic outcomes of patients with non-valvular atrial fibrillation (NVAF) after initiating treatment with apixaban vs rivaroxaban, dabigatran, or warfarin.

Methods: NVAF patients who initiated apixaban, rivaroxaban, dabigatran, or warfarin were identified from the IMS Pharmetrics Plus database (January 1, 2013–September 30, 2015). Propensity score matching (PSM) was used to balance differences in patient characteristics between study cohorts: patients treated with apixaban vs rivaroxaban, apixaban vs dabigatran, and apixaban vs warfarin. Risk of hospitalization and healthcare costs (all-cause and MB-related) were compared between matched cohorts during the follow-up.

Results: During the follow-up, risks for all-cause (hazard ratio [HR]?=?1.44, 95% confidence interval [CI]?=?1.2–1.7) and MB-related (HR?=?1.57, 95% CI?=?1.0–2.4) hospitalizations were significantly greater for patients treated with rivaroxaban vs apixaban. Adjusted total all-cause healthcare costs were significantly lower for patients treated with apixaban vs rivaroxaban ($3,950 vs $4,333 per patient per month [PPPM], p?=?.002) and MB-related medical costs were not statistically significantly different ($100 vs $233 PPPM, p?=?.096). Risk for all-cause hospitalization (HR?=?1.98, 95% CI?=?1.6–2.4) was significantly greater for patients treated with dabigatran vs apixaban, although total all-cause healthcare costs were not statistically different. Risks for all-cause (HR?=?2.22, 95% CI?=?1.9–2.5) and MB-related (HR?=?2.05, 95% CI?=?1.4–3.0) hospitalizations were significantly greater for patients treated with warfarin vs apixaban. Total all-cause healthcare costs ($3,919 vs $4,177 PPPM, p?=?.025) and MB-related medical costs ($96 vs $212 PPPM, p?=?.026) were significantly lower for patients treated with apixaban vs warfarin.

Limitations: This retrospective database analysis does not establish causation.

Conclusions: In the real-world setting, compared with rivaroxaban and warfarin, apixaban is associated with reduced risk of hospitalization and lower healthcare costs. Compared with dabigatran, apixaban is associated with lower risk of hospitalizations.