Do reputation feedback systems really improve trust among anonymous traders? An experimental study

Feedback systems are claimed to be a crucial component of the success of electronic marketplaces like eBay or Amazon Marketplace. This article aims to compare the effects of various feedback systems on trust between anonymous traders, through a set of experiments based on the trust game. Our results indicate that trust is significantly improved by the introduction of a reputation feedback system. However, such mechanisms are far from being perfect and are vulnerable to strategic ratings and reciprocation. Our findings indicate that some changes in rating rules may significantly improve the efficiency of feedback systems, by avoiding strategic rating or reciprocation, and hence stimulate trust and trustworthiness among traders. In particular, a system in which individuals are not informed of their partner's rating decision before making their own decision provides better results, both in terms of trust and earnings.     

Moment conditions for Almost Stochastic Dominance

This study establishes necessary conditions for Almost Stochastic Dominance criteria of various orders. These conditions take the form of restrictions on algebraic combinations of moments of the probability distributions in question. The relevant set of conditions depends on the relevant order of ASD but not on the critical value for the admissible violation area. These conditions can help to reduce the information requirement and computational burden in practical applications. A numerical example and an empirical application to historical stock market data illustrate the moment conditions. The first four moment conditions in particular seem appealing for many applications.     

Corporate hierarchies and international trade: Theory and evidence

Corporate organization varies within countries and between countries. We develop a theory which explains the variation in levels of decentralization across firms and links it to the trade environment that firms face. We introduce firms with internal hierarchies in a Melitz and Ottaviano (2008) model of international trade. We show that international trade increases the conflict of interest between CEO/owners and middle managers within firms and these eventually lead to decentralized corporate hierarchies. We test the theory with original data on the internal organizations of 2200 Austrian and German firms and find that the empirical evidence is consistent with the model's predictions.     

FDH Directional Distance Functions with an Application to European Commercial Banks

Weextend Free Disposable Hull (FDH) efficiency analysis towardsthe general directional distance function framework. The profitinterpretation of directional distance functions is extendedto the non-convex FDH technologies. In addition, we derive anefficient enumerative algorithm for computing distance measuresin Free Disposable Hull (FDH) technologies, which applies tothe entire (infinitely large) family of directional distancefunctions. A simple numerical example and an application to Europeancommercial banks illustrate the algorithm.     

Property Rights, Corruption and the Allocation of Talent: a General Equilibrium Approach

We consider an economy where contracts are necessary to encourage investments. Contract enforcement requires that a fraction of the agents work in the public sector and do not accept bribes. We find that: (1) It may be optimal to allow some corruption and not enforce property rights fully. (2) Less developed economies may choose lower levels of property right enforcement and more corruption. (3) There may exist a 'free-lunch' such that over a certain range it is possible simultaneously to reduce corruption, increase investment, and achieve a better allocation of talent.     

Revisiting the finite mixture of Gaussian distributions with application to futures markets

We present a new estimation method for Gaussian mixture modeling, namely, the kurtosis‐controlled expectation‐maximization (EM) algorithm, which overcomes the limitations of the usual estimation techniques via kurtosis control and kernel splitting. Our simulation study shows that the dynamic allocation of kernels according to the value of the total kurtosis measure makes the proposed kurtosis‐controlled EM algorithm an efficient method for Gaussian mixture density estimation. This algorithm yielded considerable improvements over the classical EM algorithm. We then used the discrete Gaussian mixture framework to account for the observed thick‐tailed distributions of futures returns and applied the kurtosis‐controlled EM algorithm to estimate the distributions of real (agricultural, metal, and energy) and financial (stock index and currency) futures returns. We proved that this framework is perfectly adapted to capturing the departures from normality of the observed return distributions. Unlike in previous studies, we found that a two‐component Gaussian mixture is too poor a model to accurately capture the distributional properties of returns. Similar results have been obtained for stocks, indexes, currencies, interest rates, and commodities. This has important implications in many financial studies using Gaussian mixtures to incorporate the thickness of the tails of the distributions in the computation of the value at risk or to infer implied risk‐neutral densities from option prices, to name but a few. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21: 347–376, 2001     

Digital touch in sponsorship: Getting closer to the brand through virtual reality

Supporters are consuming more and more sporting events through digital platforms. Brands should adapt to these new consumption patterns in order to strengthen their connection with their customers. Today, researchers and practitioners can create more interactive and enjoyable experiences through virtual reality (VR) applications. Through two studies conducted on VR during sporting events, we show that mentally representing the touch experiences of players on the field reduces the psychological distance between the supporter and the player, which strengthens the supporter's attachment to the team and, through the same attachment, to the sponsor (Study 1). We also highlight that these positive effects of VR compared to real touch (using a player's jersey) is linked to the improvement of immersion, which stimulates touch imagery (Study 2). We discuss the implications of this research for theory and practice in the sports business and other sectors.     

The effect of the informal economy on bilateral exports from sub-Saharan African countries

The purpose of this study is to analyse the impact of the informal economy on bilateral exports in sub-Saharan African countries. We use a gravity model, to which we add indicators of the informal economy and indicator variables for different economic regions. The study used Pseudo-Poisson Maximum Likelihood (PPML) and Heckman estimation techniques on data from the period 2002–2018. The results show that the informal economy has a negative impact on bilateral inter-community exports and a positive impact on bilateral intra-community exports. These results thus support the idea that the informal economy can accelerate the integration of regional economic communities and ultimately facilitate the establishment of bilateral export free trade areas at the continental level.