The Relationship Between Economic Understanding and the Social Studies Curriculum

Much research is needed to determine the extent to which the high school social studies curriculum, and certain courses within that curriculum, contribute toward economic understanding. Boddy and Tocco report on their attempt to assess the social studies curriculum in Southwest Florida. They also single out one required course, Americanism vs. Communism, which was designed to “emphasize the free-enterprise-competitive economy of the United States,” and measure its impact on a sample of high school seniors. The findings are not encouraging. Although this study applies to one limited geographic area, others may find it interesting because it suggests the need for similar research in other parts of the nation.     

The Effect of Risk Context on the Value of a Statistical Life: a Bayesian Meta-model

This paper presents the first value of statistical life (VSL) meta-analysis that empirically estimates correction factors for ‘out of context’ benefits transfer (BT) purposes. In the field of mortality risk reductions elicited willingness to pay values in one risk context, say road safety, are frequently applied in other risk contexts like air pollution. However, differences in risk perception and the population at risk across contexts are likely to result in diverging VSL estimates. In a meta-analysis of 26 international stated preference studies, a Bayesian model is estimated regressing contingent values for mortality risk reductions, originating from three different risk contexts, on the characteristics of the risk reduction itself and additional variables characterizing the underlying studies. A willingness to pay (WTP) premium for mortality risk reductions in the air pollution and general mortality risk context relative to improving road safety is observed. Evaluated at the mean, road safety VSL estimates should be multiplied by a factor 1.8 before being applicable in the air pollution context. Moreover, in an illustrative BT exercise we find limited overlap in the set of context specific predictive VSL distributions. Consequently, ‘out of context’ BT results in a substantial over- or underestimation of the VSL.     

Mapping global sustainability report scoring: a detailed analysis of Europe and Asia

This study maps the General Reporting Initiative (GRI) relations for a set of global enterprises. Enterprise interrelationships are built using the Mutual Information (MI) of the data reported by enterprises. From the MI topology, we describe interrelationships among the enterprises using chord diagrams to represent the inter- and intra-connectivity between geographical regions and economic sectors globally, by continent and country. Detailed maps are presented for European and Asian regions/sectors, including the relationship between Europe and Asia’s top reporting countries. Our findings reinforce previous research regarding the role of Europe as a driver of sustainability and its influence worldwide. We also determined that Spain is a major player in Europe and that Northern Europe does not have the assumed leading role mentioned in related studies. Eastern Asia is, by far, the leader of the region, and the GRI maps demonstrate the preponderant role of China in the region and the minimal role of India. MI topology maps outline the behavior of the economic sectors, for all the studied regions. Furthermore, a measure that relates the inter- to intra-connections is presented to describe the internal an external relationships among regions/sectors.     

Belonging,believing, bonding,and behaving: the relationship between religion and business ownership at the country level

This cross-country study adopts a competing theories approach in which both a value perspective and a social capital perspective are used to understand the relation between religion and a country’s business ownership rate. We distinguish among four dimensions of religion: belonging to a religious denomination, believing certain religious propositions, bonding to religious practices, and behaving in a religious manner. An empirical analysis of data from 30 OECD countries with multiple data points per country covering the period 1984–2010 suggests a positive relationship between religion and business ownership based on those dimensions that reflect the internal aspects of religiosity (i.e., believing and behaving). We do not observe a significant association for those dimensions that reflect more external aspects of religion (i.e., belonging and bonding). These results suggest that the social capital perspective prevails the value perspective, at least when internal aspects of religiosity are concerned. More generally, our study demonstrates the importance of distinguishing between different dimensions of religion when investigating the link between religion and entrepreneurship.     

Is group selection necessary? An alternative interpretation of homogeneous Middleman groups: Comments on Janet Landa’s paper

This article critiques the efforts by Janet Landa, David Sloan Wilson and others to use group selection paradigms to explain the success of homogenous middlemen groups (HMGs). It argues that group selection theory cannot explain the conflicts of interests that arise within HMGs or why they dissolve in certain occasions. Landa’s earlier explanations, which stressed the combination of genetic (kinship) and social bonds in the creation of trust and cooperation in the extension of credit and the creation of local public goods, better predicts both the strength and weaknesses of HMGs.      

Differentiating ambiguity: an expository note

Ghirardato et al. J Econ Theory 118:133–173, 2004 propose a method for distinguishing between perceived ambiguity and the decision-maker’s reaction to it. They study a general class of preferences which they refer to as invariant biseparable. This class includes CEU and MEU. This note presents some examples which illustrate their results. Research supported by ESRC grant no. RES-000-22-0650. For comments and discussion we would like to thank Klaus Nehring and a seminar audience at ESEM, Vienna 2006.     

<Emphasis Type="Italic">Sylvania’s</Emphasis> Indian Precursor and Its Legacy

The starting point of this paper is a January 1977 judgment of the Indian Supreme Court, which applied the rule of reason to vertical restraints and anticipated many of the arguments of the Sylvania judgment. After summarizing the background of the Indian case, I set out the main points of similarity and difference between the two judgments, and finally assess the somewhat erratic influence of post-Sylvania antitrust thinking on Indian competition law and jurisprudence.     

The Determinants of Tying Litigation, 1961–2001

The idea that changes in Supreme Court decision rules should have measurable effects on the volume of cases litigated has a compelling plausibility, and several models of litigation predict this result. The prediction is a fragile one, however, because it implies very restrictive assumptions about the probability distributions of the cases subject to dispute. The period studied includes four Supreme Court decisions widely regarded as changing the rules and altering the level of uncertainty surrounding the legality of the anti-tying provisions of the antitrust laws. Broad trends in antitrust activity generally and changes in firm profitability statistically explain over three-quarters of the observed variation in tying litigation. Changes in legal precedent have only modest effects upon litigation.

Bank reserves: A dispute over words and classification

A prominent philosophical/legal case for requiring 100% bank reserves employs a flawed style of argument. It involves essentialism (criticized by Karl Popper and Joseph Schumpeter), persuasive definitions (identified by Charles L. Stevenson), faulty classification, and the piling up of irrelevant facts and considerations.     

Generalized spatial autocorrelation in a panel-probit model with an application to exporting in China

This paper proposes a generalized spatial panel-data probit model with spatial autocorrelation of the dependent variable, the time-invariant individual shocks, and the remainder disturbances. It proposes its estimation with a Bayesian Markov chain Monte Carlo procedure. Simulation results show that the proposed estimation method performs well in small- to medium-sized samples. This method is then applied to the analysis of export-market participation of 1451 Chinese firms between 2002 and 2006 in the prefecture-level city of Wenzhou in the province of Zhejiang. Empirical results show that two of the three forms of the hypothesized spatial autocorrelation are significant, namely the spatial lag for the dependent variable and the time-invariant firm-specific shocks, but not the time-variant shocks. Ignoring any of these significant spatial effects would lead to misspecification.