Inclusion climate: A multilevel investigation of its antecedents and consequences

This study investigates the antecedents and consequences of organization‐level inclusion climate. A national sample of human resource decision‐makers from 100 organizations described their firms' formal diversity management programs; 3,229 employees reported their perceptions of, and reactions to, their employers' diversity management. Multilevel analyses demonstrate that identity‐conscious programs (programs that target specific identity groups) generate an inclusion climate. Moreover, the analyses provide evidence of multilevel mediation: In organizations with an inclusion climate, individual employees perceive the organization as fulfilling its diversity management obligations and respond with higher levels of affective commitment. This study represents an important step toward understanding how a shared perception of organizational inclusiveness develops and how inclusion climate facilitates the achievement of diversity management objectives. The findings also shed light on the important role of identity‐conscious programs in promoting organizational commitment within a diverse workforce.     

Modified efficient importance sampling for partially non‐Gaussian state space models

The construction of an importance density for partially non‐Gaussian state space models is crucial when simulation methods are used for likelihood evaluation, signal extraction, and forecasting. The method of efficient importance sampling is successful in this respect, but we show that it can be implemented in a computationally more efficient manner using standard Kalman filter and smoothing methods. Efficient importance sampling is generally applicable for a wide range of models, but it is typically a custom‐built procedure. For the class of partially non‐Gaussian state space models, we present a general method for efficient importance sampling. Our novel method makes the efficient importance sampling methodology more accessible because it does not require the computation of a (possibly) complicated density kernel that needs to be tracked for each time period. The new method is illustrated for a stochastic volatility model with a Student's t distribution.     

Forecasting U.S. money growth using economic uncertainty measures and regularisation techniques

This paper examines the out-of-sample forecasting properties of six different economic uncertainty variables for the growth of the real M2 and real M4 Divisia money series for the U.S. using monthly data. The core contention is that information on economic uncertainty improves the forecasting accuracy. We estimate vector autoregressive models using the iterated rolling-window forecasting scheme, in combination with modern regularisation techniques from the field of machine learning. Applying the Hansen-Lunde-Nason model confidence set approach under two different loss functions reveals strong evidence that uncertainty variables that are related to financial markets, the state of the macroeconomy or economic policy provide additional informational content when forecasting monetary dynamics. The use of regularisation techniques improves the forecast accuracy substantially.     

Logics,Leaders, Lab Coats: A Multi‐Level Study on How Institutional Logics are Linked to Entrepreneurial Intentions in Academia

Situated in the context of academia, this study integrates ideas from institutional theory, person‐environment fit theory and leadership research to conceptualize and examine the cross‐level link between the organizational‐level institutional logic of research commercialization and the entrepreneurial intentions of researchers. Multi‐level analyses based on a sample of 254 researchers working for 85 research group leaders in 49 German research institutes reveal that two distinct attributes of research group leaders – that is, their track records of entrepreneurial behaviour and their entrepreneurial intentions – play a significant role in transmitting the organizational‐level logic to the individual level. We also observe a complementary interaction between organizational‐level commercialization logic and the entrepreneurial track records of leaders. We discuss how these findings advance our understanding of science commercialization through academic entrepreneurship and how they inform institutional theory and theory development in other domains of entrepreneurship research.     

中蒙俄经济走廊建设中内蒙古与蒙、俄产能一体化分析——以钢铁、水泥为例

在“一带一路”倡议背景下,内蒙古凭借地缘优势、人文优势正在积极参与中蒙俄经济走廊的建设,并发挥着重要作用。内蒙古通过对蒙、俄输出钢铁和水泥,对促进内蒙古的经济增长起到了一定的积极作用。本文利用TVP－VAＲ模型实证检验证实,内蒙古对蒙、俄在钢铁、水泥的产能输出,短期内对第二产业的增长影响较为显著,但中期影响减弱,长期影响不明显。因此,内蒙古应抓住机会,通过产能一体化进一步化解钢铁、水泥过剩产能,从而实现产业结构升级和创新发展。     

Internal Markets,Management by Targets,and Quasi‐Markets: An Analysis of Health Care Reforms in the English NHS

There have been two major attempts to introduce market mechanisms into England's National Health Service: the ‘internal market’ reform project of the 1990s, and the ‘quasi‐market’ of the 2000s. Despite their similarities, the former attempt was on balance unsuccessful while the latter succeeded. This article examines and compares the outcomes of the two periods, analysing the reasons for their relative successes and failures. It goes on to highlight options for future reforms that would build on those achievements.     

Measurement of Quality of Life and Well‐Being in France: The Drivers of Subjective Well‐Being

Ever since the publication of the Stiglitz Report, France has been heavily involved in the measurement of well‐being. The French Statistical Institute (INSEE) has expanded the scope of its existing surveys. It has also launched an innovative experimental survey which, drawing upon a single statistical source, aims for the first time to explore the different dimensions of both objective and subjective quality of life, as highlighted in the Stiglitz Report. It allows us to study, at the individual level, correlations between these dimensions and the accumulation of deprivations. It has enabled us to better understand the links between determinants generally referred to as objective dimensions of quality of life (such as health or education) and subjective well‐being. This information is of paramount importance for policy makers who cannot act directly on the level of people's satisfaction but can only act upon the levers of objective dimensions. This paper presents the main findings of the experimental survey.     

Motivating Employees towards Sustainable Behaviour

Workers engaging in voluntary and unrewarded environmental actions that go above and beyond their job requirements in an organizational setting can crucially contribute to a reduced environmental impact of organizations. This research investigates some of the factors that may contribute to the emergence of such organizational citizenship behaviour directed towards the environment (OCBE). The hypotheses predicted employees' concern for the environment, employees' perceived organizational support for environmental efforts and organizational commitment as antecedents of OCBE. Employees from two organizations (n = 547) completed an online survey. Controlling for organizational tenure, a significant relationship between (a) employees' concern for their environment and OCBE, (b) perceived organizational support for environment efforts and OCBE and (c) organizational commitment and OCBE were found. Furthermore, organizational commitment mediated the relationship between perceived organizational support for environmental efforts and OCBE, but not environmental concern. This study's insights into the factors that can drive employees' engagement in small, voluntary environmental actions at work can guide organizations wishing to encourage such behaviours. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment     

N‐FIRM OLIGOPOLY WITH GENERAL ISO‐ELASTIC DEMAND

In this note oligopoly with iso‐elastic demand is analysed. Unlike previous studies we consider general iso‐elastic demand rather than the case of unit elasticity. An n‐firm Nash‐Cournot equilibrium for the case of heterogeneous constant marginal costs is derived. The main result is a closed‐form solution that shows the dependency of the equilibrium on the elasticity of demand and the share of industry costs. The result has applications to a wide range of areas in oligopoly theory by allowing comparisons across markets with different elasticities of demand.     

Properties of Census Dual System Population Size Estimators

We study parametric and non‐parametric approaches for assessing the accuracy and coverage of a population census based on dual system surveys. The two parametric approaches being considered are post‐stratification and logistic regression, which have been or will be implemented for the US Census dual system surveys. We show that the parametric model‐based approaches are generally biased unless the model is correctly specified. We then study a local post‐stratification approach based on a non‐parametric kernel estimate of the Census enumeration functions. We illustrate that the non‐parametric approach avoids the risk of model mis‐specification and is consistent under relatively weak conditions. The performances of these estimators are evaluated numerically via simulation studies and an empirical analysis based on the 2000 US Census post‐enumeration survey data.