Local Energy Markets*

In current power markets, the bulk of electricity is sold wholesale and transported to consumers via long-distance transmission lines. Recently, decentralized local energy markets have evolved, often as isolated networks based on solar generation. We analyze strategic pricing, investment, and welfare in local energy markets. We show that local energy markets yield competitive equilibrium prices and provide efficient investment incentives. Yet, we find that strategic behavior leads to allocative inefficiency. We propose a clearing mechanism that induces truth-telling behavior and restores first-best welfare.     

The impact of lay beliefs about AI on adoption of algorithmic advice

Marketing Letters - There is little research on how consumers decide whether they want to use algorithmic advice or not. In this research, we show that consumers’ lay beliefs about artificial...     

Modeling time-varying higher-order conditional moments: A survey

Since the introduction of the Autoregressive Conditional Heteroscedasticity (ARCH) model, the literature on modeling the time-varying second-order conditional moment has become increasingly popular in the last four decades. Its popularity is partly due to its success in capturing volatility in financial time series, which is useful for modeling and predicting risk for financial assets. A natural extension of this is to model time variation in higher-order conditional moments, such as the third and fourth moments, which are related to skewness and kurtosis (tail risk). This leads to an emerging literature on time-varying higher-order conditional moments in the last two decades. This paper outlines recent developments in modeling time-varying higher-order conditional moments in the economics and finance literature. Using the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) framework as a foundation, this paper provides an overview of the two most common approaches for modeling time-varying higher-order conditional moments: autoregressive conditional density (ARCD) and autoregressive conditional moment (ARCM). The discussion covers both the theoretical and empirical aspects of the literature. This includes the identification of the associated skewness–kurtosis domain by using the solutions to the classical moment problems, the structural and statistical properties of the models used to model the higher-order conditional moments and the computational challenges in estimating these models. We also advocate the use of a maximum entropy density (MED) as an alternative method, which circumvents some of the issues prevalent in these common approaches.     

The more the merrier? On the optimality of market size restrictions

Review of Economic Design - This paper provides a novel rationale for the regulation of market size when heterogeneous firms compete. A regulator seeks to maximize total welfare by choosing the...     

Social preferences and sales performance

We use an incentivized experimental game to uncover heterogeneity in social preferences among salespeople in a large Austrian retail chain. Our results show that the majority of agents take the welfare of others into account but a significant fraction reveal selfish behavior. Matching individual behavior in the game with firm data on sales performance shows that agents with social preferences achieve a significantly higher revenue per customer. However, at the same time, they achieve fewer sales per day. Both effects offset each other, so that the overall association with total sales revenue becomes insignificant. Our findings highlight the nuanced role of selfish versus social preferences in sales contexts with important implications for economic research.     

The role of family firm specific resources in innovation: an integrative literature review and framework

Management Review Quarterly - Family firms are the prevalent form of entrepreneurial organizations worldwide. While even long-lasting and successful family firms are said to invest less in...     

Disaster selfies: How ethical reminders can mitigate morally questionable consumption practices

Joyful selfies taken at disaster sites create a controversial topic in terms of moral boundaries in digital life. While some consider it acceptable to take smiley selfies in a tragedy zone, others find this behaviour morally questionable. This article demonstrates empirically that excessive time spent on social media explains, at least partially, a greater tendency to like morally ambiguous content on social media. Specifically, this article shows that consumers tend to like more questionable content (such as smiley disaster selfies) on social media when they spend more time online. Further, this article shows that this effect is mediated by increased individualistic thinking. Responses to the survey experiment (N = 206) compared the tendency to like morally ambiguous content between groups of little, moderate and excessive use of social media, and tested for the mediating role of individualistic thinking on the relationship between time spent and liking behaviour. Second, the moderating role of an ethical reminder on time spent and the fact of liking morally ambiguous contents is demonstrated. In the presence of an ethical reminder, the effect of time spent on social media and liking morally ambiguous content becomes insignificant. This article contributes to theory on social media consumption by offering a novel underlying mechanism, such as increased individualistic thinking, as one variable that partly explains the liking for morally ambiguous content. This article also offers practical contributions for social media platforms and policy makers, showing that ethical reminders could be a possible and simple nudge to help consumers act more morally or become aware of morally questionable content.