Nowcasting the French index of industrial production: A comparison from bridge and factor models

Governments and central banks need to have an accurate and timely assessment of indicators for the current month, as this is essential for providing a reliable and early analysis of the current economic situation. The index of industrial production (IIP) is probably the most important and widely analyzed monthly indicator, given the relevance of the manufacturing activity as a driver of the whole business cycle. This paper presents a series of models conceived to forecast the current French monthly IIP, based on regression models and dynamic factor models. The combination of these two approaches allows selecting economically relevant explanatory variables among a large data set. In addition, a rolling forecast study is carried out to assess the forecasting performance of the estimated models, using predictive ability and model confidence set tests. This latter allows getting several models displaying equivalent forecasting performance and therefore gives robustness to the forecasting exercise rather than to base the forecasting analysis only on one model.     

Relative concerns of rural-to-urban migrants in China

As their environment changes, migrants constitute an interesting group to study the effect of relative income on subjective well-being. This paper focuses on the huge population of rural-to-urban migrants in China. Using a novel dataset, we find that the well-being of migrants depends on several reference groups: it is negatively affected by the income of other migrants and workers of home regions; in contrast, we identify a positive, ‘signal’ effect vis-à-vis urban workers: larger urban incomes indicate higher income prospects for the migrants. These effects are particularly strong for migrants who wish to settle permanently, decline with years since migrations and change with other characteristics including work conditions and community ties.     

Competition,transmission and bank pricing policies: Evidence from Belgian loan and deposit markets

This paper addresses the pass-through from market interest rates to retail bank interest rates. The paper advocates a heterogeneous approach and applies it to the Belgian banking market. A substantial proportion of the heterogeneity in bank pricing policies can be explained by the bank lending channel and the relative market power hypothesis. The results also suggest that the long-term pass-through is typically less than one-for-one, rejecting the completeness hypothesis. While there is no convincing evidence for asymmetry in retail rates, large deviations from equilibrium mark-ups are faster reduced than small deviations. Overall, conditions for corporate loans are more competitive compared to consumer loans. Demand and savings deposits have, by far, the most rigid prices.     

Management Students’ Attitudes Toward Business Ethics: A Comparison Between France and Romania

This study focuses on the differences in the perception of business ethics across two groups of management students from France and Romania (n = 220). Data was collected via the ATBEQ to measure preferences for three business philosophies: Machiavellianism, Social Darwinism, and Moral Objectivism. The results show that Romanian students present more favorable attitudes toward Machiavellianism than French students; whereas, French students valued Social Darwinism and Moral Objectivism more highly. For Machiavellianism and Moral Objectivism the results are consistent with the literature and our hypotheses. However, contrary to our expectations, we find that Social Darwinism is more important in France than Romania. The results indicate that religious practice does not influence preferences for the three business philosophies. In terms of gender differences, women have less favorable attitudes toward Machiavellianism and more favorable attitudes toward Moral Objectivism than men.     

Modeling the Impacts of Corporate Commitment on Climate Change

The aim of this paper is to propose an integrative framework for understanding the determinants of business strategies to reduce greenhouse gas emissions and the impact of these determinants on performance. The proposed structural equation model is based on a survey of 319 Canadian manufacturing firms. The study calls into question the traditionally positive relationship between a firm's environmental commitment and its economic motivations. However, the results also show a win–win relationship between the commitment to reduce greenhouse gas emissions and financial performance. This study contributes to the understanding of the motivations underlying the efforts manufacturers make to tackle climate change and their economic benefits. Copyright © 2011 John Wiley & Sons, Ltd and ERP Environment.     

A GENERALIZED OLIGOPOLY MODEL WITH CONJECTURAL VARIATIONS

This paper considers a generalization of the Stackelberg model to cover a T‐stage framework with several leaders and followers who compete on quantities. Assuming a linear demand function and constant marginal costs, we introduce constant conjectural variations in order to capture various structures of competition. First, we characterize the equilibrium market outcome. Second, we study the influence of conjectures on welfare. We notably propose a welfare comparison for six symmetric equilibria. Third, we consider convergence analysis, and we also show that the competitive equilibrium is a consistent oligopoly equilibrium.     

Using life cycle approaches to enhance the value of corporate environmental disclosures

As the focus of environmental policy and management shifts from cleaner production at the process level towards greener products as a whole, stakeholders ask for transparency throughout the entire value chain. This article assesses the comprehensiveness and the value of currently reported quantitative environmental disclosures of 97 listed companies from the automotive, banking, pharmaceutical and electronic hardware sectors. Findings indicate that quantitative environmental disclosures have many limitations, including incompleteness and inconsistency regarding corporate activities and sites, and limited internal data coherence. For many sectors, corporate disclosures only cover a very small share of the total environmental burden of products. A stepwise procedure is proposed to verify and improve the quality and completeness of reporting using life cycle approaches. We present simple data quality tests, and we introduce the concept of the environmental influence matrix, which provides a solid basis for the identification and prioritization of key performance indicators and areas of action. Copyright © 2009 John Wiley & Sons, Ltd and ERP Environment.     

Statistical Thinking in Computer-Based Learning Environments

The theme of technology is particularly important for statistics education because of the role of technology in changing views of statistical knowledge, pedagogy and learning. The interactive multimedia technology of today allows for the creation of powerful learning environments where the focus is on the process that produced the data and its associated variation and the statistical thinking required to solve the problem. However, despite this optimistic view, students' self‐regulation and intrinsic motivation seem to be key concepts for learning in complex interactive computer‐based learning environments. We conclude with observations of teachers and students working with applets. More of these evaluations should be published and/or made available to the statistical community so that both positive and negative teaching experiences can be shared.