On the optimality of unequal class sizes

The Glass and Smith (Education and Evaluation and Policy Analysis, 1979, 1, 2–16) meta-analysis of class size studies is shown to have employed an inappropriate functional form, negating Lippman's (Economics Letters, 1990, 33, 193–196) result concerning the optimality of equal class sizes. Policy implications for department chairs are noted.     

DEVELOPING A MULTI-SCALE MULTI-REGION INPUT–OUTPUT MODEL

Many efforts have recently been devoted to developing global multi-region input–output (GMRIO) models. Unfortunately, the scales of GMRIO models do not allow them to capture the heterogeneity of regions within a single country. Multi-scale models can provide more comprehensive analyses capable of capturing the interdependencies of the global economy while preserving regional differences. The primary objective of this research is to develop methods for integrating multi-region input–output data sets from multiple spatial scales into multi-scale multi-region input–output (MSMRIO) models. These methods result in models that may have unusual features such as non-square trade coefficient matrices and a mix of industry-by-industry and commodity-by-commodity technical coefficients. To demonstrate the feasibility of MSMRIO modelling, a Canada-centric model was developed. This model includes 47 countries and Canada's 13 subnational regions. A MSMRIO model provides a tool to analyse global issues with a more spatially detailed focus.     

Money growth,uncertainty and macroeconomic activity: a multivariate GARCH analysis

The impact uncertainty has on money growth has received much attention in recent years and is an issue of critical importance to central banks, particularly for those, such as the European Central Bank (ECB), which place a strong emphasis on monetary analysis in monetary policy formulation. Some recent papers examining this issue use ad hoc estimates and measure variability rather than uncertainty. We employ a multivariate GARCH model, which measures uncertainty by the conditional variance of the data series, to investigate whether macroeconomic uncertainty and monetary uncertainty Granger-cause changes in real money. The estimated model also allows us to investigate how monetary uncertainty impacts economic activity. We find that macroeconomic uncertainty impacts positively on US real M2 growth over a two-year horizon but that monetary uncertainty does not cause changes in real M2. Instead, our results indicate that real money growth causes monetary uncertainty. Monetary uncertainty is found to have a negative effect on real economic activity and on macroeconomic uncertainty. We conclude by discussing the implications of these results and the methodological approach used for institutions such as the ECB that give monetary analysis a prominent role in their monetary policy strategy.     

An Ontological Turn in Categories Research: From Standards of Legitimacy to Evidence of Actuality

In this Counterpoint to Durand and Paolella, we argue that prior work on categories has neglected processes of category emergence and dissolution. In response, we call for studies of categories that focus on how they emerge and fall out of use and on what they come to mean. We call this an ontological turn in categories research because systems of categorization and their associated meanings capture and reflect what societies view as social realities, or ontologies. As a guide to this broad topic, we develop a framework that relates the effects of categories to the familiarity of (1) occasions and motivations for their usage and (2) meanings and ontologies they carry, and we use this framework to elaborate two paths by which previously unfamiliar categories become accepted as elements of common knowledge. These paths jointly inform the recognition front of the emergence question, an understudied problem in organization studies. Finally, we outline two methodologies – set theoretic analysis and network‐based analysis – that offer particular promise for analysing processes of category emergence and dissolution.     

Book Review

Mark H. Maier. The Data Game: Controversies in Social Science Statistics, 3rd ed. Armonk, N.Y.: M. E. Sharpe, 1999. 332 pp.     

Renewable resource management with environmental prediction: the importance of structural specification

Environmental variability can substantially influence renewable resource growth, and as the ability to forecast environmental conditions improves, opportunities for adaptive management emerge. Using a stochastic stock‐recruitment model, Costello, et al. ( 2001 ) show the optimal management response to a prediction of favourable growth conditions is to reduce current harvests. We find this result may be reversed when environmental variability and stock are substitutes in growth, a possibility that has been ignored by resource economists. As an example, we analyze the South Carolina white shrimp fishery, finding the optimal response to a prediction of favourable overwinter conditions is to increase fall harvests.     

Children as Vulnerable Consumers in Online Environments

Children are seen as vulnerable consumers, yet little research has considered why they are more vulnerable than adults in an online context. This conceptual article uses an ecological paradigm to explore the underlying mechanisms that bring about vulnerability for children in general and specifically when interacting with online marketer created material. It does this by using the definition of a vulnerable consumer outlined by Baker, Gentry, and Rittenburg to focus on how marketing influence creates power imbalance, hinders consumption goals, and affects personal and social perceptions of self, leading children to be vulnerable consumers in online contexts. A social ecological conceptual framework is presented that demonstrates the interdependence of children's vulnerability with the social structure of their environments. Finally, in discussing how marketers are ultimately the agents in control of creating a fair marketplace for children online, policy implications are given.     

On Measuring the Growth-maximizing Tax Rate

A recent suggestion for estimating a country's growth-maximizing tax rate is shown not to be suited to that task.