Double symmetry model and its decompositions in square contingency tables having ordered categories

In this paper, we have employed the non-standard log-linear models to fit the double symmetry models and some of its decompositions to square contingency tables having ordered categories. SAS PROC GENMOD was employed to fit these models although we could similarly have used GENLOG in SPSS or GLM in STATA. A SAS macro generates the factor or scalar variables required to fit these models. Two sets of \(4 \times 4\) unaided distance vision data that have been previously analyzed in (Tahata and Tomizawa, Journal of the Japan Statistical Society 36:91–106, 2006) were employed for verification of results. We also extend the approach to the Danish \(5 \times 5\) Mobility data as well as to the \(3 \times 3\) Danish longitudinal study data of subjective health, firstly reported in (Andersen, The Statistical Analysis of Categorical Data, Springer:Berlin, 1994) and analyzed in (Tahata and Tomizawa, Statistical Methods and Applications 19:307–318, 2010). Results obtained agree with those published in previous literature on the subject. The approaches suggest here eliminate any programming that might be required in order to apply these class of models to square contingency tables.     

Towards an operational sustainability criterion

This paper examines the concept of sustainability and its implications for environmental policy analysis. It builds on the premise that present society holds a moral obligation to pass on a world of undiminished life opportunities to members of future generations. Maintaining life opportunities, in turn, can be achieved by maintaining or improving a diverse set of resources and capabilities that support a person's freedom to define and pursue her own conception of the good life. On an operational level, this framework points to the following guideline for environmental policy: Protecting the rights of future generations requires either the conservation of environmental resources or compensatory measures (including the provision of substitute technologies) that ensure the fair and proportionate sharing of net benefits over intergenerational time scales. In this framework, resource depletion is permissible only if (with reasonable certainty) it would generate a Pareto improvement relative to a baseline scenario involving strict resource conservation.     

Product Differentiation and Public Education

We demonstrate that differentiation in public services can arise as a way of reducing competition among cities. Quality differentiation can be particularly relevant to the provision of education. If cities finance education through a property tax that generates "tax competition," we find that quality differentiation in education changes the amount of educational services provided. In the case of property-value maximization, this means a reduction in educational services in both the city with high quality and that with low quality. The reduction in educational services means that under reasonable conditions property values in both cities can increase.     

Teaching accountants to learn and "building blocks" for accounting education

Conclusions Accounting professionals and academicians have expressed significant interest and are pursuing a variety of changes in accounting curricula. There is a broad range of opinions regarding the nature of the changes needed in accounting education, which range from dramatic redesign to little or no change. There is a need to develop a framework for accounting education that is consistent but flexible to accommodate the majority of the accounting educational needs. The "building blocks" of accounting education presented in this paper provide educators with a basic pedagogical framework for an appropriate learning process. The framework of accounting education specifically focuses on the accounting component of the educational process and identifies the nature of courses and appropriate teaching strategies based upon their goals and objectives. Most educators recognize that only "one" accounting curriculum is insufficient to meet the needs of a variety of constituents. Therefore, it is essential to adopt an appropriate general framework for coursework is adopted to address the development of many diverse accounting programs.     

Cost-Effective and Stochastic Dominance Approaches to Stochastic Pollution Control

Most economic studies of pollution externalities focus on the relative efficiency or cost-effectiveness of alternative pollution control instruments. Much less attention has been paid to policy goals and objectives. However, a comprehensive pollution control strategy depends on all of these choices. This paper examines several efficiency properties of cost-effective pollution control strategies in a stochastic setting when economic damages from pollution are unknown. A number of policy goals are considered. In this setting and under a primal approach, it is found that certain stochastic dominance conditions must be satisfied for the strategies to exhibit desirable efficiency properties. A dual approach to cost-effective pollution control, which is based on a stochastic dominance objective, is also considered.     

Evaluation of a Truthful Revelation Auction in the Context of Energy Markets with Nonconcave Benefits

We describe a Vickrey-Clarke-Groves auction for supply and demand bidding in the face of market power and nonconcave benefits in which bidders are motivated to bid truthfully, and evaluate its use for power and gas pipeline capacity auctions. The auction efficiently allocate resources if firms maximize profit. Simulations, including an application to the PJM power market, illustrate the procedure. However, the auction has several undesirable properties. It risks being revenue deficient, can be gamed by cooperating suppliers and consumers, and is subject to the information revelation and bid-taker cheating concerns that make single item Vickrey auctions rare.     

Climate Change and the Representative Agent

The artifice of an infinitely-lived representative agent iscommonly invoked to balance the present costs and future benefitsof climate stabilization policies. Since actual economies arepopulated by overlapping generations of finite-lived persons,this approach begs important questions of welfare aggregation.This paper compares the results of representative agent andoverlapping generations models that are numerically calibratedbased on standard assumptions regarding climate--economyinteractions. Under two social choice rules -- Pareto efficiencyand classical utilitarianism -- the models generate closelysimilar simulation results. In the absence of policies toredistribute income between present and future generations,efficient rates of carbon dioxide emissions abatement rise from15 to 20% between the years 2000 and 2105. Under classicalutilitarianism, in contrast, optimal control rates rise from 48 to 79% this same period.     

The online laboratory: conducting experiments in a real labor market

Online labor markets have great potential as platforms for conducting experiments. They provide immediate access to a large and diverse subject pool, and allow researchers to control the experimental context. Online experiments, we show, can be just as valid—both internally and externally—as laboratory and field experiments, while often requiring far less money and time to design and conduct. To demonstrate their value, we use an online labor market to replicate three classic experiments. The first finds quantitative agreement between levels of cooperation in a prisoner’s dilemma played online and in the physical laboratory. The second shows—consistent with behavior in the traditional laboratory—that online subjects respond to priming by altering their choices. The third demonstrates that when an identical decision is framed differently, individuals reverse their choice, thus replicating a famed Tversky-Kahneman result. Then we conduct a field experiment showing that workers have upward-sloping labor supply curves. Finally, we analyze the challenges to online experiments, proposing methods to cope with the unique threats to validity in an online setting, and examining the conceptual issues surrounding the external validity of online results. We conclude by presenting our views on the potential role that online experiments can play within the social sciences, and then recommend software development priorities and best practices.