Interconnections Between Eurozone and US Booms and Busts Using a Bayesian Panel Markov‐Switching VAR Model

The proposed panel Markov‐switching VAR model accommodates changes in low and high data frequencies and incorporates endogenous time‐varying transition matrices of country‐specific Markov chains, allowing for interconnections. An efficient multi‐move sampling algorithm draws time‐varying Markov‐switching chains. Using industrial production growth and credit spread data, several important data features are obtained. Three regimes appear, with slow growth becoming persistent in the eurozone. Turning point analysis indicates the USA leading the eurozone cycle. Amplification effects influence recession probabilities for Eurozone countries. A credit shock results in temporary negative industrial production growth in Germany, Spain and the USA. Core and peripheral countries exist in the eurozone. Copyright © 2016 John Wiley & Sons, Ltd.     

Information rigidity in growth forecasts: Some cross-country evidence

We document information rigidity in forecasts of real GDP growth in 46 countries over the past two decades. We also investigate: (i) whether rigidities differ across countries, particularly between advanced countries and emerging markets; (ii) whether rigidities are lower around turning points in the economy, such as in times of recessions and crises; and (iii) how quickly forecasters incorporate news about growth in other countries into their growth forecasts, with a focus on the way in which advanced countries’ growth forecasts incorporate news about emerging market growth, and vice versa.     

Dynamics in Responsible Behaviour In Search of Mechanisms for Coping with Responsibility

In this article the authors focus on the emergence, or disappearance, of notions of responsibility in social dynamic processes. Hence, the starting point in this article is concrete behavior within organisational settings. This article presents a systematic overview of mechanisms related to acting upon a sense of moral responsibility. Some of these mechanisms are based on individual characteristics, others are embedded in the social context wherein responsible behaviour emerges or disappears. In this article, various mechanisms are identified and labelled in order to analyse what types of processes are behind the mechanisms. In this way, the article yields important understandings for the conscious use of these mechanisms to strengthen responsible behavior within organisations.     

Integrated Conditional Moment testing of quantile regression models

In this paper we propose a consistent test of the linearity of quantile regression models, similar to the Integrated Conditional Moment (ICM) test of Bierens (1982) and Bierens and Ploberger (1997). This test requires re-estimation of the quantile regression model by minimizing the ICM test statistic with respect to the parameters. We apply this ICM test to examine the correctness of the functional form of three median regression wage equations.     

The effects of executives' experiences and perceptions on their assessment of potential technological alliances

Researchers have only begun to provide explanations of how top executives' experiences and perceptions influence organizational decisions. Drawing from a broad theoretical base, this study tests the contention that top executives' personal experiences (age, educational background, and work experience), their perceptions of their firms' attitudes toward technology and risk, and their perceptions regarding their firms' past success with collaborative technological development influence their cognitive assessments of potential technological alliances. Results from the study suggest that top executives with a technical education place more weight on the opportunities provided by the alliance than those with other types of education. Moreover, executives from firms that are perceived to emphasize technology and to have had success with technological alliances in the past tend to focus more on the opportunities provided by the alliance and less on the riskiness of the venture. © 1998 John Wiley & Sons, Ltd     

Examining the influence of servant and entrepreneurial leadership on the work outcomes of employees in social enterprises

Abstract

The present study examines the relative influence of two distinct leadership styles, servant leadership and entrepreneurial leadership, on the organizational commitment and innovative behavior of employees working in social enterprises. Analyzing data from 169 employees and 42 social entrepreneurs, we found that, although servant leadership was positively related to followers’ organizational commitment, the relationship between entrepreneurial leadership and organizational commitment was insignificant. In contrast, whilst we found evidence that entrepreneurial leadership was positively related to followers’ innovative behavior, the relationship between servant leadership and employees’ innovative behavior was insignificant. Our research contributes to the underdeveloped literature on leadership in social enterprises by exploring the relative effectiveness of different leadership styles (namely an entrepreneurial leadership style and a servant leadership style) in promoting follower work attitudes and behaviors in social enterprises. In addition, our research demonstrates the importance of leadership over and above followers’ individual differences such as pro-social motivation and creative self-efficacy.     

Presidential administrations and the day-of-the-week effect in stock returns

This study examines the presence of a day-of-the-week effect over different presidential administrations. The results indicate that the day-of-the-week effect prevails during the Democratic and Republican administrations. However, the pattern of the day-of-the-week effect differs between the two presidential administrations. Specifically, the negative returns on Monday are more pronounced during the Republican than during the Democratic administrations. Therefore, explanations for the day-of-the-week effect should take into account the changing pattern of the day-of-the-week effect across presidential administrations.     

Trends and cycles in economic time series: A Bayesian approach

Trends and cyclical components in economic time series are modeled in a Bayesian framework. This enables prior notions about the duration of cycles to be used, while the generalized class of stochastic cycles employed allows the possibility of relatively smooth cycles being extracted. The posterior distributions of such underlying cycles can be very informative for policy makers, particularly with regard to the size and direction of the output gap and potential turning points. From the technical point of view a contribution is made in investigating the most appropriate prior distributions for the parameters in the cyclical components and in developing Markov chain Monte Carlo methods for both univariate and multivariate models. Applications to US macroeconomic series are presented.