Does peer group size influence social preferences and risk taking?

This paper examines whether the ex post relative payoffs of peers as well as the size of the peer group impact an agent's willingness to take risks. For example, persons in a flood plain may be less likely to purchase flood insurance if their neighbors also refrain from purchasing. We generalize the Fehr‐Schmidt (1999) model to allow the intensity of the social preferences to vary with the size of the peer group. Our experiment tests whether subjects are more or less likely to choose a lottery over a fixed payment when others have been assigned either the same lottery or the fixed payment. Using both between and within subject designs, we find risk‐taking behaviour is not responsive to the risks faced by others regardless of the size of peer group.     

Arena-based events and crime: an analysis of hourly robbery data

This article makes use of hourly crime counts to model the relationship between events that take place at the Prudential Center in Newark, NJ and robberies, an arena that has caused local controversy regarding the costs and benefits of hosting such an entertainment venue. Results from the econometric model suggest that the NHL’s New Jersey Devils ice hockey games, concerts, and Disney-themed events are all associated with increases in robbery, while various other event categories such as the NBA basketball games played by the Nets and boxing, and mixed martial arts (MMA) matches are not associated with an increase. These findings support two complementary ecological theories of crime that focus on how events provide additional opportunities for crime by increasing the associated benefits while simultaneously decreasing the cost for economically motivated offenders to take advantage of.     

ISO order imbalances and individual stock returns

I examine the relation between intermarket sweep order (ISO) order imbalances and the daily returns of individual stocks. First, I show that ISO order imbalances are positively related to contemporaneous returns. Second, I find that price pressures emanating from ISO imbalances are persistent and predict cumulative abnormal returns up to 2 months. The predictive power of ISO order imbalances on contemporaneous and future abnormal returns is strongest for firms in the smallest firm size quintile. Finally, I analyze herding among ISO order imbalances and find strong commonality. My results indicate that ISOs contribute to both short‐ and long‐term return formation.     

Inference for large financial systems

We treat the parameter estimation problem for mean‐field models of large interacting financial systems such as the banking system and a pool of assets held by an institution or backing a security. We develop an asymptotic inference approach that addresses the scale and complexity of such systems. Harnessing the weak convergence results developed for mean‐field financial systems in the literature, we construct an approximate likelihood for large systems. The approximate likelihood has a conditionally Gaussian structure, enabling us to design an efficient numerical method for its evaluation. We provide a representation of the corresponding approximate estimator in terms of a weighted least‐squares estimator, and use it to analyze the large‐system and large‐sample behavior of the estimator. Numerical results for a mean‐field model of systemic financial risk highlight the efficiency and accuracy of our estimator.     

On the quest for supply chain transparency through Blockchain: Lessons learned from two serialized data projects

The ability to look into the supply chain has long enticed SCM scholars and practitioners. The possibilities created by such visibility are endless—from risk reduction and continuity planning to inventory management and cost reduction, nothing is off the table when end‐to‐end visibility is a possibility. Because of such enticements, there is usually much buzz in the industry every time a new technology that promises visibility and transparency is brought forward. Yet, years later, stories sometimes emerge that said technologies either failed to deliver or were not everything they were made out to be. Blockchain is yet another emerging technology in this space. Some consultants promise that it will be the final answer to the transparency and visibility woes that companies currently face. Yet, there is little empirical investigation regarding how the technology may benefit adopters, what the bottlenecks may be, and to what extent it may be able to deliver on these promises, without massive system‐wide upgrades of extant hardware and computing prowess. The current study takes a step in this direction by investigating a blockchain‐driven proof of concept across an industry consortium to identify promises, possibilities, and challenges of blockchain.     

Correction to: Are two brands better than one? Investigating the effects of co-branding in advertising on audience memory

Marketing Letters - The article Are two brands better than one? Investigating the effects of co-branding in advertising on audience memory, written by Cathy Nguyen, Jenni Romaniuk, Margaret...     

When it pays to have a friend on the inside: contingent effects of buyer advocacy on B2B suppliers

As organizational buying systems grow more complex and sophisticated, suppliers increasingly rely on buyer advocacy: an individual buyer’s efforts to influence his/her colleagues such that the supplier’s standing is improved. Drawing from cognitive response theory, the authors hypothesize an inverted U-shaped relationship between a buyer’s advocacy for a supplier and the customer’s purchases from that supplier. They theorize that this effect is moderated by the advocate’s industry experience and customer–supplier relationship characteristics. An analysis of multisource data from a B2B service provider (Study 1) supports the predicted inverted U-shaped relationship, while a unique dataset from a large industrial supplier (Study 2) provides broad support for the hypothesized moderators. Finally, a randomized experiment (Study 3) replicates key findings and corroborates the theorized cognitive response mechanisms. Findings contribute to the limited literature on buyer advocacy within the organizational buying domain and offer practical implications for suppliers and buyers.

     

Modern Money Theory and Distributive Justice

Modern money theory is a conjecture concerning fiscal spending and the nature of money. I show that modern money theory provides two interesting insights into distributive justice that have not been addressed in the recent Anglo-American distributive justice literature: (i) that the nature of a sovereign fiat currency allows for some distributive conflicts to be avoided; and (ii) that recent Anglo-American distributive justice theories assume that the economy is at capacity. Based on this, I consider whether the policy results of modern money theory can help foster a sense of justice.