Inverse stochastic dominance,inequality measurement and Gini indices

We investigate the relationship between the third degree inverse stochastic dominance criterion introduced in Muliere and Scarsini (1989) and inequality dominance when Lorenz curves intersect. We propose a new definition of transfer sensitivity aimed at strengthening the Pigou-Dalton Principle of Transfers. Our definition is dual to that suggested by Shorrocks and Foster (1987). It involves a regressive transfer and a progressive transfer both from the same donor, leaving the Gini index unchanged. We prove that finite sequences of these transfers and/or progressive transfers characterize the third degree inverse stochastic dominance criterion. This criterion allows us to make unanimous inequality judgements even when Lorenz curves intersect. The Gini coefficient becomes relevant in these cases in order to conclusively rank the distributions.     

Option pricing when correlations are stochastic: an analytical framework

In this paper we develop a novel market model where asset variances–covariances evolve stochastically. In addition shocks on asset return dynamics are assumed to be linearly correlated with shocks driving the variance–covariance matrix. Analytical tractability is preserved since the model is linear-affine and the conditional characteristic function can be determined explicitly. Quite remarkably, the model provides prices for vanilla options consistent with observed smile and skew effects, while making it possible to detect and quantify the correlation risk in multiple-asset derivatives like basket options. In particular, it can reproduce and quantify the asymmetric conditional correlations observed on historical data for equity markets. As an illustrative example, we provide explicit pricing formulas for rainbow “Best-of” options.     

The Structural Determinants of External Vulnerability

This article examines empirically how domestic structural characteristicsrelated to openness and product- and factor-market flexibilityinfluence the impact of terms of trade shocks on aggregate output.Applying semistructural vector autoregressions to a panel of88 countries with annual observations for the period 1974–2000,the analysis isolates and standardizes the shocks, estimatestheir impact on GDP, and examines how this impact depends onthe domestic conditions outlined above. The article finds thatgreater trade openness magnifies the output impact of termsof trade shocks, particularly negative ones, while financialopenness reduces their impact. Flexibility of labor and firm-entryare beneficial, with labor flexibility dampening the impactof negative shocks and ease of firm-entry magnifying positiveones only. Domestic financial depth has a more nuanced rolein stabilizing the economy. Analysis of interactions acrossstructural determinants reveals complementarities among macroeconomicconditions (trade and financial openness and depth) and, separately,among microeconomic conditions (flexibility of labor marketsand ease of firm-entry). Variables across these groups tendto behave as substitutes for each other.     

The contribution of Design Thinking to the R of R&D in technological innovation

Literature on Design Thinking has mainly focused on whether its key principles enhance performance in the development phase (the D of R&D) of the technological innovation process. However, it has dedicated scant attention to the earlier research phase (the R of R&D). This aspect is surprising, given that many innovations fail as a result of early research actions and decisions. This article examines how it is possible and desirable to apply Design Thinking to the research phase of the technological innovation process. How can Design Thinking support innovation, even when advanced breakthrough technologies are at stake, the market is distant, and product applications and specific user needs have not been identified yet? To respond to this question, we investigate the research work of the design center of a global electronics company that uses a design approach called Proxemics to envision future interactions between bodies (people), objects (technology), and spaces (context). Although Proxemics is consistent with and implements the human centeredness and experimentation principles of Design Thinking, results of this study show that its logics and tools are different from those used in Design Thinking in the D of R&D due to the more abstract nature of the tasks in the R of R&D.     

International house prices and macroeconomic fluctuations

The paper investigates linkages between general macroeconomic conditions and the housing market for the G-7 area. Among the key results of the paper, we find that the US are an important source of global fluctuations not only for real activity, nominal variables and stock prices, but also for real housing prices. Secondly, albeit distinct driving forces for real activity and financial factors can be pointed out, sizeable global interactions are also evident. In particular, global supply-side shocks are an important determinant of G-7 house prices fluctuations. The linkage between real housing prices and macroeconomic developments is however bidirectional, with investment showing in general a stronger reaction than consumption and output to housing price shocks. Implications for the real effects of the sub-prime crisis are also explored.     

Building responses to sustainable development challenges: A multistakeholder collaboration framework and application to climate change

The affirmation of open innovation and collaborative systems is enabling unprecedented opportunities to create business value while facilitating multistakeholder conversation on sustainability issues. In particular, platform‐based models are emerging as organization archetypes able to facilitate cooperative dynamics among industrial actors, policy makers, academicians, scientists, and citizens. In this article, we use interdisciplinary business management and collaborative innovation literature to build the conceptual framework of a multisided platform as a collaboration environment gathering actors willing to define responses to sustainable development challenges. We present five dimensions or “genes,” that is, the focus and strategic intent or orientation of the platform (what), the participating sides, actors and groups (who), the actions, flows and coordination mechanisms (how), and the value drivers, benefits and externalities (why), and the rules regulating the affiliation and interaction processes (governance). We also present and discuss 30 subtopics or management items that are associated with the five dimensions defined. We then apply the conceptual model to analyze a case in the climate change endeavor and to show how competitive and cooperative dynamics can be virtuously integrated to provide individual‐ and company‐driven responses to a timely socioenvironmental issue. The article provides a new perspective on collaboration to enhance social development, and it offers theoretical and practitioner insights for a broad interdisciplinary audience including scholars, practitioners, business, and platform managers.     

Do employees value strategic CSR? A tale of affective organizational commitment and its underlying mechanisms

Virtually all studies that focus on the relationship between CSR perceptions and employees’ organizational commitment have not taken into consideration the fit between social and environmental activities and a firm’s business‐unit strategy. This is essential to inquire because scholars have argued that when companies ingrain CSR activities into their strategy‐making process (i.e., in their vision, mission, and overall business model), this might send a more compelling message that resonates closer to workers’ personal standards, and actually enhance employee‐level outcomes. Nevertheless, there is no certainty “if” and “how” these evaluations could affect employees’ organizational commitment. To address this issue, we use cue consistency theory and social identity theory as overarching frameworks to develop a model where we conceptually link perceptions of strategy‐CSR fit with a particular type of organizational commitment: affective. In addition, we posit and test three mediators to understand the underlying psychological mechanisms of this relationship: perceived external prestige, organizational identification, and work meaningfulness. Through structural equation modeling, and using a heterogeneous final sample of 579 employees, we find compelling evidence to support the fact that strategy‐CSR fit enhances employees’ affective organizational commitment through the proposed mediators. Academic contributions and practical implications are then discussed.     

Foreign Human Capital and Total Factor Productivity: A Sectoral Approach

We analyze the role of migrants in productivity growth in the three largest European countries—France, Germany and the United Kingdom—in the years 1994–2007, using Total Factor Productivity. Unlike previous research, which mainly employs a regional approach, our analysis is at the sectoral level: this allows to distinguish the real contribution of migrants to productivity from possible inter-sectoral complementarities, which might also foster growth. We control for the share of migrants and the different components of human-capital, such as education, age and diversity, and adopt instrumental variables strategies to address the possible endogeneity of migration. The results show that migrants contribute to the productivity of the sectors in which they are employed, but with important differences: highly-educated migrants show a larger positive effect in high-tech sectors, and to a lesser extent in services sector. The diversity of countries of origin contributes to productivity growth only in the services sectors.     

An Explicit Mapping of Currency Target Zone Models to Option Prices*

Currency target zones have been under scrutiny for the past three decades, which led to the development of two broad classes of quantitative models: Phenomenological ones that explicitly take into consideration the market's perception of the bounded exchange rate, and more mechanical ones that rely on put and call options. Until now, the two models have only been compared qualitatively. Here, we derive, for the first time, a quantitative link between these two approaches. Specifically, we show how the former approach has to be generalized in order to recover the second one. This mapping lets us relate the phenomenological parameter of the first approach to economically well‐known quantities.