Understanding employee preferences for investing in employer stock: evidence from France

In this article, we broaden the focus of existing research on employee stock purchase plans by analysing employee preferences for investing in employer stock as a construct distinct from actual investment behaviour. In our analysis of original survey data in a sample of 900 employees in four French companies, we find that employee preferences are influenced by two common cognitive heuristics (representativeness and familiarity), organisational commitment, the perceived quality of corporate communications about these plans and perceived managerial commitment to employee ownership. We did not find, however, that risk aversion, turnover intentions or perceived employee involvement in decision making influenced preferences for investing in employer stock. Our findings have both theoretical and practical implications for understanding and operating these types of employee benefit plans, which are becoming more common across the globe.     

EXTREME VALUE THEORY IN FINANCE: A SURVEY

Extreme value theory is concerned with the study of the asymptotic distribution of extreme events, that is to say events which are rare in frequency and huge in magnitude with respect to the majority of observations. Statistical methods derived from it have been employed increasingly in finance, especially for risk measurement. This paper surveys some of those main applications, namely for testing different distributional assumptions for the data, for Value‐at‐Risk and Expected Shortfall calculations, for asset allocation under safety‐first type constraints, and for the study of contagion and dependence across markets under conditions of stress.     

Bids as a Vehicle of (Mis)Information: Collusion in English Auctions with Affiliated Values

In an English auction, a bidder’s strategy depends on the prices at which his competitors drop out, because these convey information on the value of the object on sale. A ring of colluding bidders can strategically manipulate the information transmitted through its members’ bids, in order to mislead other bidders into bidding less aggressively and thus allow a designated bidder to bid more aggressively. Collusion increases the probability that the ring wins the auction and reduces the price it pays. The presence of a ring harms other bidders (as well as the seller) and reduces efficiency.     

Peer punishment in teams: expressive or instrumental choice?

A key question about human societies is how social norms of cooperation are enforced. Subjects who violate norms are often targeted by their peers for punishment. In an experiment with small teams we examine whether subjects treat punishment itself as a second-order public good. Results do not support this view and rather suggest a hard-wired taste for punishment; subjects are engaged in a cooperative task but ignore the public good characteristics of punishment.     

Evaluating the median voter model’s explanatory power

We match individual senators’ voting behavior on legislative proposals with 24 real referendum decisions on exactly the same issues with identical wording. This setting allows us to evaluate the median voter model’s quality with revealed constituents’ preferences. Results indicate a limited explanatory power of the median voter model: It explains 17.6% points more than random voting and that a senator’s probability to accept a proposal in parliament increases on average by 8.4% points when the district median voter accepts the proposal.     

Expected benefits and perceived risks of cloud computing: an investigation within an Italian setting

Over the past several years, cloud computing has increasingly been regarded as able to improve efficiency within organisations. The aim of this study is to address under-investigated issues related to the implementation of cloud computing, with a particular focus on expected benefits and the perception of risks. Towards this aim, on the basis of an adapted version of the technology acceptance model, we carried out a semi-structured survey among first-time cloud computing users to identify expected benefits and perceived risks. The survey of this study included a sample of 130 individuals in 65 enterprises located within Italy. We chose an Italian setting because it is characterised by an increasing number of programmes that emphasise the importance of cloud computing and support its wide dissemination. The findings of this study identify possible areas for improvement within the implementation phases of cloud computing.     

Economic Openness and Fiscal Multipliers*

Recent empirical findings attribute a central role to the degree of economic openness to determine the size of the fiscal multiplier. See, for instance, Ilzetzki et al. (2013) [How big (small?) are fiscal multipliers? Journal of Monetary Economics, 60(2), 239–254]. However, traditional macroeconomic models have difficulties to account for this evidence. By introducing ‘deep-habit’ formation into a New Keynesian small open economy model, this paper provides a theoretical framework which is able to attest for the new empirical evidence. Deep habits give rise to counter-cyclical firm markups, which are crucial to generate effects of openness on the fiscal multiplier as found in the data. We study three dimensions of economic openness: exchange rate flexibility, trade openness, and capital mobility. In line with the empirical findings, we report a negative relationship between measures of economic openness and the fiscal multiplier.     

Innovation and ICT use in the EU: an analysis of regional drivers

Innovation and the use of information and communication technologies (ICT) are key areas for the European Cohesion Policy. Studies available at the regional level explore innovation and ICT use incorporating different variables, while those investigating ICT use mainly focus on that of households. This paper investigates the existence of common factors for innovation and ICT at the regional level, considering not only ICT use by households but also that of firms. Using factorial and spatial regression analysis, we find that although ICT use and innovation are mainly explained by different variables, knowledge-intensive services and the percentage of population aged 15–64 are common to all of them. In addition, ICT use by households and ICT use by firms are basically driven by different factors. Government quality is the main factor explaining ICT use at home, while ICT use by firms is mostly driven by employment in knowledge-intensive services. R&D is the main variable explaining innovation. We also find positive spatial effects, which are particularly notable in ICT use by households. The results stress the importance of promoting specialization strategies based on the knowledge economy that may contribute to creating synergies between innovation and ICT use in different environments.     

Shaping buyer–supplier relationships in manufacturing contexts: Design and test of a contingency model

Although the idea that buyer–supplier partnerships can yield considerable benefits to firms is largely diffused among researchers and practitioners, the approach adopted in this paper is that no “one best way” exists in buyer–supplier relationships, but rather a “best way” for each specific exchange context. Hence, this paper proposes a contingency model for shaping and managing buyer–supplier relationships in manufacturing contexts. In order to test the model, an empirical study was performed on a sample of 45 buyer–supplier relationships within the Italian white goods industry. A three-dimensional performance indicator was computed to compare supplier performance achieved within relations matching the model's suggestions with those set differently. The results strongly suggest that suppliers involved in relationships set accordingly to the contingency model are likely to enjoy superior performance.     

The impact of peer ratings on cooperation: The role of information and cost of rating

In this study, we experimentally analyze the effectiveness of payoff‐irrelevant peer‐to‐peer ratings as a cooperation enforcement device in a finitely repeated public goods game setting. We run two treatments that differ in the amount of information on own and others' received rating points provided to the players, whereas, in a third treatment, we analyze peer approval when assigning ratings to others is costly. In particular, we wonder whether, even under anonymity and in the absence of reputational concerns, (a) players rate others' contribution decisions in the expected direction and (b) the peer rating mechanisms under study foster cooperation and welfare. Our findings reveal that, in the two costless rating treatments, peer rating concerns lead to higher contributions and efficiency, compared to our control. Introducing a small fixed cost for assigning rating points results in a very high percentage of subjects deciding not to rate others' behavior, so that cooperation cannot be enforced.