Uncertainty and Resistance to Reform in Laboratory Participation Games

This paper presents a participation game experiment to study the impact of uncertainty and costly political participation on the incidence of reform. Fernandez and Rodrik (1991) show that uncertainty about who will ultimately gain or lose as a result of a reform can prevent its adoption. We introduce intra-group conflict into this framework by incorporating costly political participation, which creates a natural incentive for free-riding on fellow group members’ efforts to influence policy outcomes. An agent, however, may still be willing to participate if her participation is likely to affect the policy outcome given the probabilities of participation by others. Our experimental findings show that uncertainty reduces the incidence of reform even with costly political participation, and that an increase in the cost of participation reduces the participation of all agents, regardless of whether they belong to the majority and minority. This second result cannot be reconciled with the standard mixed strategy Nash equilibrium, but is consistent with the quantal response equilibrium.Reform, Uncertainty, Experiment, Participation Game, Bounded Rationality, Quantal Response Equilibrium

Effects of Tobin taxes in minority game markets

We show that the introduction of Tobin taxes in agent-based models of currency markets can lead to a reduction of speculative trading and reduce the magnitude of exchange rate fluctuations at intermediate tax rates. In this regime revenues for the market maker obtained from speculators are maximal. We here focus on Minority Game models of markets, which are accessible by exact techniques from statistical mechanics. Results are supported by computer simulations. Our findings suggest that at finite systems sizes the effect is most pronounced in a critical region around the phase transition of the infinite system, but much weaker if the market is operating far from criticality and does not exhibit anomalous fluctuations

A role for community health workers in pediatric ADHD treatment through the delivery of behavioral parent training

INTRODUCTION: Community health workers are a growing and developing portion of the healthcare workforce. They have proven successes in decreasing healthcare inequities for many common chronic medical conditions, such as asthma, and have secured support at the Department of Health and Human Services. One common medical condition for which community health workers have not yet been explored as a resource is pediatric Attention Deficit Hyperactivity Disorder. We sought to investigate what the literature showed on community health workers' involvement in ADHD treatments thus far, and to specifically investigate which ADHD behavioral parent training program could best be adapted to a pilot study where community health workers were the intervention delivery agents. METHODS: We performed a systematic review of the literature on evidence based behavioral parent training programs for children with ADHD. Parent training interventions were compared for ease of application to a community health worker home-visit model. Program ability to successfully reduce child behavior problems and improve parenting practices was analyzed. RESULTS: 8 full text articles were analyzed in depth and grouped by intervention type. 1 article was a sports-based intervention for fathers, 1 was meant to improve attendance rates, 1 was a combined child-targeted and parent-targeted Behavioral Parent Training (BPT) therapy, 2 were based on the "New Forest Parenting Package", and 3 were based on Barkley's 1997 manualized BPT. DISCUSSION: Evidence exists for the ability of community health workers to deliver a behavioral therapy to families of children with ADHD, specifically behavioral parent training. Barkley's manualized BPT had the best combination in our study of positive outcomes for families and ease of adaptability to in-home delivery. We recommend a pilot study be conducted using a modified version of Barkley's BPT and have community health workers as the delivery agents to begin to see what role community health workers can play in the treatment of pediatric ADHD

Fairness and efficiency for probabilistic allocations with endowments

We propose to use endowments as a policy instrument in market design. Endowments give agents the right to enjoy certain resources. For example in school choice, one can ensure that low-income families have a shot at high-quality schools by endowing them with a chance of admission. We introduce two new criteria in resource allocation problems with endowments. The first adapts the notion of justified envy to a model with endowments, while the second is based on market equilibrium. Using either criteria, we show that fairness (understood as the absence of justified envy, or as a market outcome) can be obtained together with efficiency and individual rationality

Mesoscopic effects in an agent-based bargaining model in regular lattices

The effect of spatial structure has been proved very relevant in repeated games. In this work we propose an agent based model where a fixed finite population of tagged agents play iteratively the Nash demand game in a regular lattice. The model extends the multiagent bargaining model by Axtell, Epstein and Young [1] modifying the assumption of global interaction. Each agent is endowed with a memory and plays the best reply against the opponent’s most frequent demand. We focus our analysis on the transient dynamics of the system, studying by computer simulation the set of states in which the system spends a considerable fraction of the time. The results show that all the possible persistent regimes in the global interaction model can also be observed in this spatial version. We also find that the mesoscopic properties of the interaction networks that the spatial distribution induces in the model have a significant impact on the diffusion of strategies, and can lead to new persistent regimes different from those found in previous research. In particular, community structure in the intratype interaction networks may cause that communities reach different persistent regimes as a consequence of the hindering diffusion effect of fluctuating agents at their borders.Spanish Ministry of Science and Innovation, references TIN2008-06464-C03-02 and CSD2010-00034 (CONSOLIDER-INGENIO 2010), and by the Junta de Castilla y Leon, references VA006A009, BU034A08 and GREX251-200

Applying science of learning in education: Infusing psychological science into the curriculum

The field of specialization known as the science of learning is not, in fact, one field. Science of learning is a term that serves as an umbrella for many lines of research, theory, and application. A term with an even wider reach is Learning Sciences (Sawyer, 2006). The present book represents a sliver, albeit a substantial one, of the scholarship on the science of learning and its application in educational settings (Science of Instruction, Mayer 2011). Although much, but not all, of what is presented in this book is focused on learning in college and university settings, teachers of all academic levels may find the recommendations made by chapter authors of service. The overarching theme of this book is on the interplay between the science of learning, the science of instruction, and the science of assessment (Mayer, 2011). The science of learning is a systematic and empirical approach to understanding how people learn. More formally, Mayer (2011) defined the science of learning as the “scientific study of how people learn” (p. 3). The science of instruction (Mayer 2011), informed in part by the science of learning, is also on display throughout the book. Mayer defined the science of instruction as the “scientific study of how to help people learn” (p. 3). Finally, the assessment of student learning (e.g., learning, remembering, transferring knowledge) during and after instruction helps us determine the effectiveness of our instructional methods. Mayer defined the science of assessment as the “scientific study of how to determine what people know” (p.3). Most of the research and applications presented in this book are completed within a science of learning framework. Researchers first conducted research to understand how people learn in certain controlled contexts (i.e., in the laboratory) and then they, or others, began to consider how these understandings could be applied in educational settings. Work on the cognitive load theory of learning, which is discussed in depth in several chapters of this book (e.g., Chew; Lee and Kalyuga; Mayer; Renkl), provides an excellent example that documents how science of learning has led to valuable work on the science of instruction. Most of the work described in this book is based on theory and research in cognitive psychology. We might have selected other topics (and, thus, other authors) that have their research base in behavior analysis, computational modeling and computer science, neuroscience, etc. We made the selections we did because the work of our authors ties together nicely and seemed to us to have direct applicability in academic settings

Overcoming Resistance to Diversity in the Executive Suite: Grease, Grit, and the Corporate Tournament

Once we open the corporate governance/human resources nexus to deeper inquiry, mutual scholarly interest in diversity and discrimination follows naturally. Firms have complex motives to take nondiscrimination and the promotion of diversity seriously. First, at least certain forms of discrimination are both unlawful and socially illegitimate and hence present threats of potential liability and injury to reputation. Second, human resources demands are such that attracting and motivating a diverse workforce is a competitive imperative. At the same time, however, offsetting economic forces may exist that favor subtle forms of discrimination and hostility to diversity, even if intentional and overt racial or gender-based bias is mostly outdated. In sum, the process of promoting diversity and ending discrimination, whether to avoid liability or simply to remain competitive, is a difficult challenge faced by many firms. It demands a close look at the efficacy of the internal decisionmaking and authority structures of the firm