Emissions Taxation in Durable Goods Oligopoly

This paper examines the use of taxation to control external damage due to pollution when product durability is endogenously determined. A special form of the emissions function is also examined which is equivalent to an excise tax on output. The model indicates that many conventional results in the durability and taxation literature need not hold when durability is endogenously determined. The analysis shows durability may not be independent of industry structure nor will firms minimize their manufacturing costs of providing service. In addition, the second-best tax on imperfectly competitive firms is not necessarily less than the tax on a competitive firm with endogenous durability.     

Fear,Loathing and the Everyday Geopolitics of Encounter in the Arizona Borderlands

This paper argues for the importance of attending to both affective and emotional experience in analysing the origins and effects of border and immigration efforts in the US/Mexico border region. We do so by engaging with theoretical understands of the politics of affect and emotion among cultural and feminist geographers and social scientists. We then examine Arizona's SB 1070 and its connection to a larger history of border and immigration enforcement in Arizona. Drawing from ethnographic work, interviews, and media and policy analysis, we engage with narratives provided by border area ranchers to unpack how these ranchers' encounters with unauthorised migrants have changed over time. We then examine how the everyday fear and anxiety associated with these encounters drive political activism and state intervention in the region. We conclude by discussing how this intervention, in turn, reproduces racial and gender hierarchies, hierarchies that are themselves affectively mediated.     

Cost-effectiveness of targeted screening for the identification of patients with atrial fibrillation: evaluation of a machine learning risk prediction algorithm

Abstract

Aims: As many cases of atrial fibrillation (AF) are asymptomatic, patients often remain undiagnosed until complications (e.g. stroke) manifest. Risk-prediction algorithms may help to efficiently identify people with undiagnosed AF. However, the cost-effectiveness of targeted screening remains uncertain. This study aimed to assess the cost-effectiveness of targeted screening, informed by a machine learning (ML) risk prediction algorithm, to identify patients with AF.

Methods: Cost-effectiveness analyses were undertaken utilizing a hybrid screening decision tree and Markov disease progression model. Costs and outcomes associated with the detection of AF compared traditional systematic and opportunistic AF screening strategies to targeted screening informed by a ML risk prediction algorithm. Model analyses were based on adults ≥50?years and adopted the UK NHS perspective.

Results: Targeted screening using the ML risk prediction algorithm required fewer patients to be screened (61 per 1,000 patients, compared to 534 and 687 patients in the systematic and opportunistic strategies) and detected more AF cases (11 per 1,000 patients, compared to 6 and 8?AF cases in the systematic and opportunistic screening strategies). The targeted approach demonstrated cost-effectiveness under base case settings (cost per QALY gained of £4,847 and £5,544 against systematic and opportunistic screening respectively). The targeted screening strategy was predicted to provide an additional 3.40 and 2.05 QALYs per 1,000 patients screened versus systematic and opportunistic strategies. The targeted screening strategy remained cost-effective in all scenarios evaluated.

Limitations: The analysis relied on assumptions that include the extended period of patient life span and the lack of consideration for treatment discontinuations/switching, as well as the assumption that the ML risk-prediction algorithm will identify asymptomatic AF.

Conclusions: Targeted screening using a ML risk prediction algorithm has the potential to enhance the clinical and cost-effectiveness of AF screening, improving health outcomes through efficient use of limited healthcare resources.     

Informational Costs and Institutional Typologies: A Review Article

Books reviewed in this article:
Mark Casson, Information and Organisation. A New Perspective on the Theory of the Firm
Takao Shiba and Masahiro Shimotani (eds), Beyond the Firm. Business Groups in International Historical Perspective