Corporate ethical performance: Trends,forecasts and outlooks

Executives, professionals, educators and labour leaders are requesting an update on corporate ethical trends. This article presents an examination of why the interest in corporate ethics is growing both in society and in corporations. An analysis follows of how corporations are responding to this interest, and of how that response might be enhanced through improved second-generation codes of ethical performance. Leonard J. Brooks B. Com., MBA, FCA, is a Professor of Accounting at the Faculty of Management and Erindale Campus of the University of Toronto. Before joining the University, he held the rank of Director of Manpower and Audit Manager at Touche Ross and Co., Chartered Accountants. His most recent monograph is entitled Canadian Corporate Social Performance.     

The federal reserve board MPS quarterly econometric model of the US economy

This paper describes the structure and properties of the Federal Reserve Board's (MPS) econometric model of the US economy. The theoretical underpinnings are developed using a small growth model that is a simplified version of the steady-state structure of the full model. Short-run dynamic properties, which are Keynesian, are discussed and quantified with simulation results. The largest part of the paper consists of a discussion of the theoretical basis and empirical properties of the key behavioural equations. A complete list of equations is included.     

Analyzing the volume and nature of emergency medical calls during severe weather events using regression methodologies

An effective emergency medical service (EMS) response to emergency medical calls during extreme weather events is a critical public service. Nearly all models for allocating EMS resources focus on normal operating conditions. However, public health risks become even more critical during extreme weather events, and hence, EMS systems must consider additional needs that arise during weather events to effectively respond to and treat patients. This paper seeks to characterize how the volume and nature of EMS calls are affected during extreme weather events with a particular focus on emergency preparedness. In contrast to other studies on disaster relief, where the focus is on delivery of temporary commodities, we focus on the delivery of routine emergency services during blizzards and hurricane evacuations. The dependence of emergency service quality on weather conditions is explored through a case study using real-world data from Hanover County, Virginia. The results suggest that whether it is snowing is significant in nearly all of the regression models. Variables associated with increased highway congestion, which become important during hurricane evacuations, are positively correlated with an increased call volume and the likelihood of high-risk calls. The analysis can aid public safety leaders in preparing for extreme weather events.     

How Does Brand-related User-generated Content Differ across YouTube,Facebook, and Twitter?

This study tests hypotheses regarding differences in brand-related user-generated content (UGC) between Twitter (a microblogging site), Facebook (a social network) and YouTube (a content community). It tests them using data from a content analysis of 600 UGC posts for two retail-apparel brands (Lululemon and American Apparel), which differ in the extent to which they manage social media proactively. Comparisons are drawn across six dimensions of UGC; the dimensions were drawn from a priori reading and an inductive analysis of brand-related UGC. This research provides a general framework for comparing brand-related UGC, and helps us to better understand how particular social media channels and marketing strategies may influence consumer-produced brand communications.     

The Impact of Corporate Social Performance on Financial Risk and Utility: A Longitudinal Analysis

This study focuses on the wealth‐protective effects of socially responsible firm behavior by examining the association between corporate social performance (CSP) and financial risk for an extensive panel data sample of S&P 500 companies between the years 1992 and 2009. In addition, the link between CSP and investor utility is investigated. The main findings are that corporate social responsibility is negatively but weakly related to systematic firm risk and that corporate social irresponsibility is positively and strongly related to financial risk. The fact that both conventional and downside risk measures lead to the same conclusions adds convergent validity to the analysis. However, the risk‐return trade‐off appears to be such that no clear utility gain or loss can be realized by investing in firms characterized by different levels of social and environmental performance. Overall volatility conditions of the financial markets are shown to play a moderating role in the nature and strength of the CSP‐risk relationship.     

Introducing Empirical Exercises into Principles of Economics

McGrath and Tiemann discuss the rationale for requiring students to become familiar with the empirical side of economics and describe seven exercises that can be used in the first course.     

Time varying country risk: an assessment of alternative modelling techniques

Three different techniques for the estimation of a time-varying beta are investigated: a bivariate GARCH model, the Schwert and Seguin approach, and the Kalman filter method. These approaches are applied to a set of monthly Morgan Stanley country index data over the period 1970 to 1995 and their relative performances compared. In-sample forecast tests of the performance of each of these methods for generating conditional beta suggest that the GARCH-based estimates of risk generate the lowest forecast error although these are not necessarily significantly less than those generated by the other techniques considered.     

Who in Brazil Will Gain from Global Trade Reforms?

The potential impacts of multilateral trade liberalisation on developing countries are the subject of numerous controversies. One particular concern is that Brazil, a major agricultural exporter and a country with one of the world's most unequal income distributions, will reap a substantial share of the potential benefits to developing countries from agricultural trade reform, and that most of those benefits will go to large‐scale commercial farmers rather than to the country's smallholders. This claim is explored via a global general equilibrium model and a national model of Brazil containing multiple agricultural and non‐agricultural households. Brazil is found to account for nearly one‐half of all the benefits to developing countries deriving from global agricultural trade reform. These gains are associated with improvements in the welfare of each group and a lower incidence of poverty. Large‐scale producers gain more than smallholders as they tend to be relatively specialised in export products, but there are important gains to agricultural employees, who are relatively poor, and to urban households, who benefit from the expansion of the agro‐food sector. Overall, there is no discernible impact on income inequality, and no evidence that the gains to commercial farmers occur at the expense of poorer households.