Corporate Responsibility and the Collegial Field

This article is based on 21 interviews of informants actively engaged with corporate responsibility in Sweden. The article introduces a new concept—the “collegial field”—which is helpful in understanding the course of events. With systems that are more open to other organizations, horizontal groupings with common interests become more influential. Collegial fields can also be relevant for understanding other activities in organizations than corporate responsibility.     

Gender, emotion and power in work relationships

We offer a theoretical account of how gender and emotion combine to influence the development of power in work relationships. We document the profound impact gender has on the display, perception and evaluation of emotion in the workplace. We illustrate the reciprocal relationship between emotion and power, and identify cycles of powerlessness that prevent women from developing and leveraging power in their work relationships. By exploring the nexus of gender, emotion and power in work relationships, we offer new insights into how the gendering of emotion creates and perpetuates gender differences in power in organizations. Implications for research and practice are offered.     

Cannabis use and mental health problems

This paper investigates whether cannabis use leads to worse mental health. To do so, we account for common unobserved factors affecting mental health and cannabis consumption by modeling mental health jointly with the dynamics of cannabis use. Our main finding is that using cannabis increases the likelihood of mental health problems, with current use having a larger effect than past use. The estimates suggest a dose–response relationship between the frequency of recent cannabis use and the probability of currently experiencing a mental health problem. Copyright © 2010 John Wiley & Sons, Ltd.     

The impact of coding time on the estimation of school effects

Multilevel growth curve models are becoming invaluable in educational research because they model changes in student outcomes efficiently. The coding of the time variable in these models plays a crucial role as illustrated in this study for the case of a three-level quadratic growth curve model. This paper shows clearly how the choice of a time coding affects school effects estimates and their interpretation. A new definition for school effects for growth curve models with random intercepts and slopes is proposed. This study recommends that the choice of a time coding should not only be based on the ease of interpretation and model convergence but also on its consequences on the student status and growth parameter estimates. The current application illustrates that in general the school effects for student growth in well-being and language achievement in secondary school, are greater for student growth than for student status.     

Forecasting the US term structure of interest rates using a macroeconomic smooth dynamic factor model

We extend the class of dynamic factor yield curve models in order to include macroeconomic factors. Our work benefits from recent developments in the dynamic factor literature related to the extraction of the common factors from a large panel of macroeconomic series and the estimation of the parameters in the model. We include these factors in a dynamic factor model for the yield curve, in which we model the salient structure of the yield curve by imposing smoothness restrictions on the yield factor loadings via cubic spline functions. We carry out a likelihood-based analysis in which we jointly consider a factor model for the yield curve, a factor model for the macroeconomic series, and their dynamic interactions with the latent dynamic factors. We illustrate the methodology by forecasting the U.S. term structure of interest rates. For this empirical study, we use a monthly time series panel of unsmoothed Fama–Bliss zero yields for treasuries of different maturities between 1970 and 2009, which we combine with a macro panel of 110 series over the same sample period. We show that the relationship between the macroeconomic factors and the yield curve data has an intuitive interpretation, and that there is interdependence between the yield and macroeconomic factors. Finally, we perform an extensive out-of-sample forecasting study. Our main conclusion is that macroeconomic variables can lead to more accurate yield curve forecasts.     

CORPORATE SOCIAL RESPONSIBILITY: A MICROECONOMIC REVIEW OF THE LITERATURE

This paper provides a review of the theoretical and empirical literature on Corporate Social Responsibility (CSR). Depending on whether an individual can be considered as selfish, or whether she has also social preferences, motives for CSR, can be explained in different ways. Furthermore, we explicitly highlight the influence of different Corporate Governance System on CSR as well as the relationship between firms' size and social commitment. Because it is difficult to distinguish between different theories in empirical studies, we argue that an experimental approach might be suitable to test theories of CSR.     

Competition, cooperation, and the neighboring farmer effect

In this paper we propose a model that explains how cooperation can emerge spontaneously between firms in a highly competitive market environment. The basic idea is that the more competitive is the market, the less costly it is for firms to help each other like good neighbors. Cooperation takes the form of sharing technical know-how, which speeds up the adoption of new technologies (normally developed elsewhere) that spur industrial development. The model comports with the development history of Japan's first example of successful industrial development – its cotton spinning industry – whose conditions match those of firms in small open economies today.     

Book production and the onset of modern economic growth

We provide a new data set on per capita book production as a proxy for advanced literacy skills, and assess this relative to other measures. While literacy proxies very basic skills, book production per capita is an indicator for more advanced capabilities. Growth theory suggests that human capital formation plays a significant role in creating the ‘wealth of nations.’ This study tests whether human capital formation has an impact on early-modern growth disparities. In contrast to some previous studies which denied the role of human capital as a crucial determinant of long-term growth, we confirm its importance.      

Integrated water and economic modelling of the impacts of water market instruments on the South African economy

A static computable general equilibrium model of South Africa is adapted to compare new taxes on water demand by two industries, namely forestry, and irrigated field crops. Comparisons are made with respect to both the short and the long run, in terms of three target variables, namely (i) the environment; (ii) the economy; and (iii) equity. Since the taxes on the two industries do not raise the same amount of revenue, the target variables are calculated per unit of real government revenue raised by the new taxes (also referred to as the marginal excess burdens of the taxes). The model results are robust for moderate values of the water elasticity of demand in the two industries, in both the long and the short run. The tax on irrigated field crops performs better in terms of all three the target variables in the short run. In the long run the tax on irrigated filed crops is better in terms of water saving, but reduces real GDP and the consumption by poor households.