Network architecture, cooperation and punishment in public good experiments

Following Fehr and G?echter (Am Econ Rev 90(4):980–994, 2000), a large and growing number of experiments show that public goods can be provided at high levels when mutual monitoring and costly punishment are allowed. Nearly all experiments, however, study monitoring and punishment in a complete network where all subjects can monitor and punish each other. The architecture of social networks becomes important when subjects can only monitor and punish the other subjects to whom they are connected by the network. We study several incomplete networks and find that they give rise to their own distinctive patterns of behavior. Nevertheless, a number of simple, yet fundamental, properties in graph theory allow us to interpret the variation in the patterns of behavior that arise in the laboratory and to explain the impact of network architecture on the efficiency and dynamics of the experimental outcomes.     

Why and how to use vector autoregressive models for quality control: the guideline and procedures

While quality control on multivariate and serially correlated processes has attracted research attentions, a number of very detailed problems need to be overcome in order to construct practical control charts. We suggest guidelines for construction of control charts based on vector autoregressive (VAR) residuals. We discuss why VAR model is reasonable for real processes in nature, the use of VAR models to approximate multivariate serially correlated processes, residual estimation, selecting the number of variables, and selecting appropriate orders, among other issues. In addition, we illustrate an example employing VAR techniques to approximate a multivariate process previously examined and construct a control chart to monitor residuals. Last, we illustrate the potential development and use of the VAR residual chart to assist quality control and improvement.     

Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers

A regression meta-analysis is a statistical summary of results from a set of empirical studies. While, a meta-analysis is typically used to drawn inferences regarding the collective insights from an empirical literature, a regression meta-analysis can also be used to predict outcomes as a substitute for the conduct of a new study. Within the nonmarket-valuation literature benefit transfers are a special case of prediction where value estimates collected for one purpose are used as a basis for predicting value for unstudied applications. Balancing against the prediction opportunities provided by a regression meta-analysis is the potential prediction error. This paper considers some of these issues in the estimation of a regression meta-analysis to support prediction of nonmarket values for applications where an original study does not exist. We do not purport to address all elements of the error structure and prediction issues, but to present a more coherent focus to enhance future research on the validity and reliability of benefit-function transfers, and ultimately assist in enhancing the credibility of benefit transfers to support policy analyses.     

Factors influencing the uptake of a mechatronics curriculum initiative in five Australian secondary schools

While the ready-made Lego™ Robotics kits are popular in schools and are used by students at both primary and secondary year levels, using the Picaxe microcontroller (chip) to create simple electronic devices, including robotic devices is less popular. The latter imposes an additional challenge as a result of the need to construct the universal board with the chip in it—a challenge embraced in the cross-disciplinary mechatronics program in this study. This paper reports on how teachers from five Australian secondary schools put into practice technological pedagogical content knowledge (TPCK) developed from expert-led workshops and explores factors (intrinsic and extrinsic) that influenced the implementation. The results show that different strategies were adopted by the schools in implementing the programs. While teacher attitude played an important role in influencing the program’s success, being able to identify where the program sits within the curriculum and planning around timetable and facility constraints were also important factors to consider. The research indicated that teachers’ TPCK was most challenged in non-obvious areas such as diagnosing where faulty soldering joints were.     

GENDER EARNINGS DIFFERENTIALS AND REGIONAL ECONOMIC DEVELOPMENT IN URBAN CHINA, 1988–97

Gender earnings differentials in urban China by region and their changes during the first decade of economic reform are examined. It is found that the female–male earnings ratio increased during the early stage of reform. The male earnings premium, overall, showed an increasing trend in the later stage of reform. Decomposition of the gender earnings differential reveals that a relatively lower percentage of the differential could be explained by gender differences in productive characteristics in the fast growing regions and in regions with a rapid pace of reform. The cross-sectional results highlight the possible existence of gender discrimination, particularly in the later stages of economic reform and development. Both market competition and the effects of wage decentralization play a role in shaping the gender earnings differentials. Gender earnings differentials varied by region and over time, generally in tandem with the pace of economic reform and development. The decomposition of the over time changes in the earnings gap indicated that improvement in the productive characteristics of females during the reform period constantly enhanced the earnings of females relative to those of males. The changes over time in the return to female characteristics, however, work to counter any narrowing of the gender earnings gap.     

Cost analysis of plasma-derived factor VIII/von Willebrand factor versus recombinant factor VIII for treatment of previously untreated patients with severe hemophilia A in the United States

Background: Inhibitor development to factor VIII (FVIII) hemophilia therapy results in increased complications and substantial economic costs. The SIPPET study, the first randomized controlled trial to compare the immunogenicity of plasma-derived FVIII (pdFVIII)/von Willebrand factor (VWF) and recombinant-DNA-derived FVIII (rFVIII), demonstrated higher inhibitor rates in previously untreated patients (PUPs) treated with rFVIII than in PUPs treated with pdFVIII/VWF.

Objective: To quantify the economic impact of treating PUPs with pdFVIII/VWF vs rFVIII.

Methods: An Excel-based clinical and economic model was developed from a US healthcare payer perspective and run over a 5-year period. The analysis utilized a cohort approach to model patient treatment and outcomes over a monthly cycle to quantify differences in costs of FVIII, bypassing agents, and hospitalizations for serious bleeds. Rates of high-titer inhibitor development were obtained from the SIPPET study. Patients developing high-titer inhibitors were treated with immune tolerance induction (ITI). Patients who developed low-titer inhibitors and those who did not develop inhibitors continued their usual FVIII treatment. Patients who were successfully treated with ITI returned to FVIII treatment, while unsuccessfully treated patients received bypassing agents. Total costs per treated patient were estimated and a one-way sensitivity analysis was conducted to quantify the impact of parameter uncertainty on the model outcomes.

Results: Total cumulative costs per patient over 5 years were $834,621 for pdFVIII/VWF patients and $1,237,163 for rFVIII patients, representing a total saving of $402,542 per patient over the 5-year period, for an average annual saving of $80,508 per patient.

Conclusions: Based on data from the SIPPET study, this analysis found that initiating FVIII treatment in severe hemophilia A PUPs with pdFVIII/VWF has the potential to offer substantial cost savings to healthcare payers, amounting to a one-third reduction in costs.     

Valuing improved hurricane forecasts

The value to households of improved hurricane forecasts is estimated from a pilot survey using discrete choice econometric methods. Each household is willing to pay approximately $13 for improvements in forecast attributes such as landfall time and position, wind speed, and storm surge.     

A simple method for estimating unconditional heterogeneity distributions in correlated random effects models

I propose a general, simple approach to recovering an unconditional heterogeneity distribution when a conditional distribution has been estimated. The approach can be applied to cross section models and panel data models-both static and dynamic-with unobserved heterogeneity.     

Optimal Investment in Urban Drainage: A Framework for Cost-Benefit Analysis

This article addresses some basic issues (including distributional weights, discount rates, and the value of life) in the cost-benefit analysis of urban drainage and provides a framework for the estimation of the optimal amount of investment for flood mitigation. This involves: (i) estimating the expected total damage from flooding in present-value terms before flood mitigation; (ii) deriving the reduction in expected total damage as the average recurrent interval of flooding increases; (iii) estimating how this interval increases with the amount of investment in flood mitigation; and (iv) choosing the optimal investment by equating marginal benefit and marginal cost. The framework is also applicable to other accident or damage mitigation investments and some issues discussed are relevant to all types of cost-benefit analysis.     

Enterprise Risk Management and the Financial Reporting Process: The Experiences of Audit Committee Members,CFOs, and External Auditors

The recent financial crisis has brought to the forefront the need for companies to effectively manage their risks. In this regard, one approach that has gained prominence is enterprise risk management (ERM). Importantly, little is known about the link between ERM and the financial reporting process. This link is critical, because it is imperative that financial reporting adequately depicts the financial status (e.g., valuations, estimates) and associated risks of a company as revealed by ERM. Additionally, from an auditing perspective, ERM affects the risks of misstatement, which should impact audit planning. Accordingly, the objective of this study is to examine the experiences of audit partners, CFOs, and audit committee (AC) members (“the governance triad”) on the link between ERM and the financial reporting process. To determine whether members of the governance triad focus on monitoring, strategy, or both, we also examine their definition of and experiences with ERM with respect to agency and/or resource dependence theory. To address these issues, we conduct semistructured interviews of experienced individuals that form the governance triads from 11 public companies. There are three major findings from our study. First, importantly, all three types of participants see a strong link between ERM and the financial reporting process. Second, despite recognition of the broad nature of ERM, the predominant experiences of the actual roles played by triad members center on agency theory, while resource dependence may be relatively underemphasized by all triad members. Finally, CFOs and AC members indicate that auditors may be especially underutilizing ERM in the audit process, suggesting an “expectations gap.”