The impact of forecasting on operational performance: Mediation effects through flexibility enablers

Literature has devoted increasing attention to the problem of supply and demand management in uncertain contexts. Only limited contributions, however, can be found regarding the interaction between forecasting and flexibility enablers to manage demand as well as regarding the flexibility enablers’ effect on company performance. We will discuss the impacts of flexibility and forecasting on dynamic interactions. The aim of this work is to study the mediation effect of forecasting through flexibility enablers on company performance, i.e., customer satisfaction and cost efficiency. Our results provide evidence that the relationship between forecasting and customer satisfaction is mainly due to process flow management, while the relationship with cost efficiency is mainly due to layout.     

EXPERIMENTAL AND SELF‐REPORTED MEASURES OF RISK TAKING AND DIGIT RATIO (2D:4D): EVIDENCE FROM A LARGE,SYSTEMATIC STUDY

We systematically investigate the links between the digit ratio (2D:4D)—a biomarker for prenatal testosterone exposure—and two measures of individual risk taking: (i) risk preferences (RP) over lotteries with real monetary incentives and (ii) self‐reported risk attitude (RA). We find that both the right‐hand and the left‐hand digit ratio are significantly associated with RP: Subjects with lower digit ratios tend to choose riskier lotteries. Neither digit ratio, however, is associated with self‐reported RA.     

Trade liberalization,democratization, and technology adoption

A general equilibrium theory with heterogeneous skills predicts a complementarity between trade and democracy in creating demand for superior technologies. Trade liberalization or democratization alone may lead to vested interests that limit technology adoption. We use panel data on technology adoption, at a disaggregated level, for the period 1980–2000. Exploiting within-country variation over time and the heterogeneous timing of trade liberalization and democratization, we document a significant and sizable positive interaction between trade openness and democratization for technology adoption. The result that transitions to open democracies are beneficial for technological dynamics is robust to a large set of checks.     

Cognitive bubbles

Smith et al. (Econometrica 56(5):1119, 1988) reported large bubbles and crashes in experimental asset markets, a result that has been replicated many times. Here we test whether the occurrence of bubbles depends on the experimental subjects’ cognitive sophistication. In a two-part experiment, we first run a battery of tests to assess the subjects’ cognitive sophistication and classify them into low or high levels. We then invite them separately to two asset market experiments populated only by subjects with either low or high cognitive sophistication. We observe classic bubble and crash patterns in markets populated by subjects with low levels of cognitive sophistication. Yet, no bubbles or crashes are observed with our sophisticated subjects, indicating that cognitive sophistication of the experimental market participants has a strong impact on price efficiency.     

IMPERFECTLY INFORMED VOTERS AND STRATEGIC EXTREMISM

We analyze a two‐candidate Downsian model considering that voters use shortcuts (e.g., interest‐group/media endorsements) to infer candidates' policy platforms. That is, voters do not observe candidates' exact platforms but only which candidate offers the more leftist/rightist platform (relative positions). In equilibrium, candidates' behavior tends to maximum extremism, but it may converge or diverge depending on how voters behave when indifferent policywise between the candidates. When the tie‐breaking rule used by the voters is sufficiently fair, candidates converge to the extreme preferred by the median voter, but when it strongly favors a certain candidate, each candidate specializes in a different extreme.     

The nature of regional unemployment in Italy

Taking as a starting point the evidence of growing disparities for most of the 1984–2007 period, this article investigates the nature of regional unemployment in Italy. In particular, we assess whether the Italian regional unemployment rates contain a unit root and are, thus, subject to pure hysteresis, considering as alternative hypotheses both a linear and a non-linear stationary process. For that purpose, we employ three recently developed panel unit-root tests, taking account of structural breaks, cross-section dependence and non-linearities. Contrary to previous studies in the literature, our results reject the pure hysteresis hypothesis and support the characterisation of regional unemployment in Italy as a stationary but non-linear process, subject to multiple equilibria, in line with the ‘structuralist hypothesis’ advanced by Phelps (1994).     

HOW DO SPATIAL SPILLOVERS DIFFUSE IN SCIENCE–INDUSTRY INTERACTIONS? THE CASE OF FRENCH BIOTECH SECTOR

The objective of this article is to study the interactions that exist between public research and private research in the French biotechnology sector. These interactions are observable at a double level. On the one hand, public research can influence private research, and conversely. Researchers of these two spheres develop important relations of cooperation. We then seek to identify these mutual influences and to measure their spatial dimension. Using asymptotic least squares method, we show that spillovers can diffuse through cooperation in upstream and downstream phases of the innovation process. On the other hand, spillovers resulting from public or private research, when measured by an external stock of knowledge, would be located, in so far as they exist.     

Time-Varying Leverage and Basel III: A Look at Canadian Evidence

Why did the conventional leverage indicators not pick up any meaningful signal of the mounting systemic risk before the subprime crisis? They remained almost unchanged in recent decades, whereas the banking landscape underwent a tremendous metamorphosis. Market-oriented banking is characterized by a new type of systemic risk, a risk which essentially evolves off the radar screen, i.e., off-balance sheet (OBS) (Calmès and Théoret Journal of Banking and Finance 34 (7): 1719–1728, 2010, 2011). In this article, we argue that the standard leverage indicators are not fitted to capture this kind of new banking risk. We introduce a new empirical framework which enables us to exploit the cyclical properties of elasticity leverage measures, while at the same time controlling for the noisy information they usually deliver. In a nutshell, thanks to the Kalman filter, we are able to compute optimal levels of bank leverage. This methodology delivers cyclical, forward-looking measures signalling systemic risk bubbles years before their burst. By properly accounting for all activities, including market-oriented banking, these time-varying leverage measures tend to systemically capture regulatory capital arbitrage and the OBS risk it entails.     

Consistent risk management: Three models outlined

This article introduces three models on how to understand the demand for consistent risk management. The first model, which accords with traditional risk analysis, is called the Standard Model. In this model, the decisive criterion of whether or not to accept a risk is if the total benefit exceeds the total cost. Since this model cannot protect the individual from unfair risk exposure two more models are outlined. The arguments in the Model of Inviolable Rights and in the Model of Procedural Justice evolve around the separateness of individuals, rights and fair risk taking. It is argued that risk management needs to acknowledge a variety of morally salient factors to avoid exposing people unfairly to risks.