Globally networked: Intraorganizational boundary spanning in the global organization

Multinational corporations (MNCs) need to sense, source, and mobilize knowledge when and where it arises, whether at home, or elsewhere in the world. For this reason, MNCs benefit from employee networks of relationships that span across intraorganizational barriers, allowing for the efficient mobilization of knowledge across boundaries. Yet, which organizational members are more likely to be able to develop these boundary spanning networks? We leverage a unique data set from a large multinational corporation to empirically test a comprehensive model that captures the effect of an employee’s mandate, expertise, and behavioral orientations on her likelihood to span intraorganizational boundaries that manifest themselves in the form of hierarchies, intra-functional domains, and geographic territories. We find that the employees that are more likely to be boundary spanners are those having mandates with a global impact, high levels of expertise, and a collaborative orientation in their networking behaviors. In addition, we find that these effects are stronger for those employees that have large formal workflow networks.     

Negotiating with Terrorists: The Costs of Compliance

It is often argued that negotiating with terrorists will encourage terrorist attacks. To date, corroborating empirical evidence is scarce. Using ITERATE data, we investigate the impact of conceding to terrorist demands on terror activity. We restrict attention to hostage events with clear‐cut demands from terrorists. Our sample period runs from 1978 to 2005 and comprises 1435 events in 125 countries. Estimating a flexible and dynamic Structured Additive Regression model, we find that the percentage of successfully negotiated events has a nonlinear effect on future terror intensity consistent with our simple theoretical model. More specifically, although moderate rates of negotiation increase the number of future terror events, higher negotiation rates tend to have the opposite effect. The estimated threshold is around 20%.     

Taxation of capital income in overlapping generations economies

Whether capital income should be taxed in overlapping generations economies is vividly discussed. It is shown that intergenerational lump‐sum taxes cannot implement the Golden Rule allocation when agents have private information on their earnings potential. Hence, the seminal Atkinson–Stiglitz result that optimal income taxation pre‐empts any role for indirect taxation cannot be interpreted to imply that capital income taxation (affecting intertemporal relative prices) should not be taxed. Specifically, capital income should unambiguously be taxed in small open economies, and the optimal tax rate depends inversely on the elasticity of total savings to disposable income and the after‐tax rate of return.     

Small Area Estimation for Disease Prevalence Mapping

Small area estimation (SAE) entails estimating characteristics of interest for domains, often geographical areas, in which there may be few or no samples available. SAE has a long history and a wide variety of methods have been suggested, from a bewildering range of philosophical standpoints. We describe design-based and model-based approaches and models that are specified at the area level and at the unit level, focusing on health applications and fully Bayesian spatial models. The use of auxiliary information is a key ingredient for successful inference when response data are sparse, and we discuss a number of approaches that allow the inclusion of covariate data. SAE for HIV prevalence, using data collected from a Demographic Health Survey in Malawi in 2015–2016, is used to illustrate a number of techniques. The potential use of SAE techniques for outcomes related to coronavirus disease 2019 is discussed.     

Exploring longitudinal risk‐return relationships

We study a longitudinal fit model of adaptation and its association with the longitudinal risk‐return relationship. The model allows the firm to adjust its position in response to partial learning about a changing environment characterized by two path‐dependent processes—a random walk and a stochastic trend. Computational simulations at low levels of learning in both environmental contexts are consistent with empirical data. However, the results are also consistent when firm behavior appears to be mindless in the form of a random walk. Hence, both imperfect learning and a mindless random walk can lead to the inverse longitudinal risk‐return relationships observed empirically. We discuss this apparent paradox and the possible resolution between mindless and conscious behavior as plausible causes of the longitudinal Bowman Paradox. Copyright © 2014 John Wiley & Sons, Ltd.     

Carry

We apply the concept of carry, which has been studied almost exclusively in currency markets, to any asset. A security’s expected return is decomposed into its “carry,” an ex-ante and model-free characteristic, and its expected price appreciation. Carry predicts returns cross-sectionally and in time series for a host of different asset classes, including global equities, global bonds, commodities, US Treasuries, credit, and options. Carry is not explained by known predictors of returns from these asset classes, and it captures many of these predictors, providing a unifying framework for return predictability. We reject a generalized version of Uncovered Interest Parity and the Expectations Hypothesis in favor of models with varying risk premia, in which carry strategies are commonly exposed to global recession, liquidity, and volatility risks, though none fully explains carry’s premium.     

Exploring Value‐Based Management Sophistication: The Role of Potential Economic Benefits and Institutional Influence

The complexity of value‐based management (VBM) is often not captured in empirical research. In particular, potential differences in the extent of VBM implementation are not considered. Firms are predominantly classified dichotomously into either VBM “adopters” or “non‐adopters.” In this study, we aim to fill this gap by introducing a framework to assess differences in the extent of VBM implementation (VBM‐sophistication) based on publicly available data. This approach enables us to study determinants of VBM‐sophistication based on a hand‐collected data set comprising 2,683 firm‐year observations from 16 European countries between 2005 and 2014. Specifically, we investigate (i) whether potential economic benefits associated with VBM implementation lead to a higher level of VBM‐sophistication, and (ii) if this relation is influenced by extra‐organizational institutions (e.g., industry norms). Our results indicate that companies exhibit higher VBM‐sophistication if certain firm characteristics that increase the potential economic benefits of VBM are present. Moreover, our study provides evidence that this effect is enhanced by extra‐organizational institutions that pressure and support firms in realizing the potential benefits of higher VBM‐sophistication.     

Realized volatility forecasting and market microstructure noise

We extend the analytical results for reduced form realized volatility based forecasting in ABM (2004) to allow for market microstructure frictions in the observed high-frequency returns. Our results build on the eigenfunction representation of the general stochastic volatility class of models developed byMeddahi (2001). In addition to traditional realized volatility measures and the role of the underlying sampling frequencies, we also explore the forecasting performance of several alternative volatility measures designed to mitigate the impact of the microstructure noise. Our analysis is facilitated by a simple unified quadratic form representation for all these estimators. Our results suggest that the detrimental impact of the noise on forecast accuracy can be substantial. Moreover, the linear forecasts based on a simple-to-implement ‘average’ (or ‘subsampled’) estimator obtained by averaging standard sparsely sampled realized volatility measures generally perform on par with the best alternative robust measures.     

What is unemployment in Europe? Concepts and measurement in the European community household panel

The purpose in this article is to evaluate the consistency between two measures of unemployment in a cross-country context. We use the European Community Household Panel to identify unemployment at an individual level based as well on the ILO criteria for being classified as unemployed as on the individual respondent reporting to be unemployed. This opens a unique opportunity to compare unemployment measured in two different ways based on a cross European Union panel study covering the years 1994 to 2001. The two main questions addressed in this article are to which extent the two unemployment measures differ and whether transition rates out of unemployment depend on which concept we use. Both questions are answered in the affirmative. The overall conclusion is that it is important, especially in some of the EU countries, to include both measures of unemployment as guidelines and indicators for policy.