Return-to-normal expectations and investment demand functions

This paper analyzes an adjustment-cost model of optimal investment behavior under return-to-normal expectations. The model yields two implications that are of interest for the interpretation of empirical work on investment behavior. One is that the model rationalizes the proposition that only permanent, as distinct from temporary, changes in expected prices will have a strong sustained effect on investment. A second is that the model provides an explanation for the humped-shaped nature of the lag distributions that have been estimated in the empirical literature.     

Heart rate variability testing: could it change spending for rheumatoid arthritis patients in the United States? An exploratory economic analysis

Background: Autonomic nervous system (ANS) testing with heart rate variability (HRV) has been shown in early research to predict 52-week outcomes in rheumatoid arthritis (RA). HRV testing could be combined with putative ANS biologic pathways to improve treatment response for RA patients. This study explored potential costs and health outcomes of introducing HRV testing into RA treatment, without and with ANS optimization.

Methods: A decision tree exploratory economic model compared HRV testing to standard care in moderate-to-severe biologic-eligible patients over a 10-year time horizon. HRV data was derived from an observational study of RA patients (n?=?33). Patients were stratified into treatment groups based on HRV test scores indicating “low probability of response” and “moderate to high probability of response”. This study explored adding ANS optimization based on HRV score followed by clinically-appropriate treatment. Costs and quality-adjusted life-years (QALYs) for the US population were estimated.

Results: HRV testing in biologic-eligible patients decreased non-effective biologic use, reducing US healthcare costs by $34.6 billion over 10 years with QALYs unchanged. When combined with ANS optimization in biologic-eligible patients, HRV testing could increase costs by $3.6 billion over 10 years but save over 350,000 QALYs. Among all RA patients, HRV testing with ANS optimization could save over $8 billion and over 100,000 QALYs over 10 years, depending on the positive predictive value (PPV) of the HRV test.

Conclusions: The potential economic impact of introducing HRV testing and ANS optimization into RA treatment appears substantial and cost-effective based on the exploratory analysis. Additional rigorous studies are warranted in larger patient samples to better inform decision-making.     

Enhancing Learning Performance Through Classroom Response Systems: The Effect of Knowledge in a Global Economic Environment

ABSTRACT

The international business education literature suggests that a global mindset can be acquired and benefit students to embrace new ideas and improve their critical thinking. Using a sample of 1,448 undergraduate students in Corporate Finance, International Finance, and Business Law subjects during 2013–2015, our results indicate that students with better academic performance in the subject Global Economic Environment achieve a better learning outcome in advanced functional business subjects. However, students with a better global mindset do not benefit as much from the Classroom Response Systems (CRSs) as the weaker students do.     

Economists versus engineers: Two approaches to environmental problems

The Review of Austrian Economics - There are two distinct and partly irreconcilable approaches to analyzing environmental problems. The first, we call the engineering approach and the other the...     

Competition is (still) a tough weed: A review essay of Thomas Philippon’s The great reversal: How America gave up on free markets

The Review of Austrian Economics - In The Great Reversal, Philippon makes the case that competition in America has weakened during the past two decades. His book contributes to the rapidly...     

Dynamic optimal hedge ratio design when price and production are stochastic with jump

Annals of Finance - In this paper, we focus on the farmer’s risk income when using commodity futures, when price and output processes are randomly correlated and represented by jump-diffusion...     

Interactive effects of brand reputation and ESG on green bond issues: A sustainable development perspective

This paper shows that brand reputation alone may not be sufficient to help firms successfully issue green bonds and that they may need superior corporate social responsibility performance in the form of high ESG (Environmental, Social, and Governance) scores to unlock the full potential of their brand reputation. Using a sample of 338 international green bond issues across 108 unique firms, we found significant positive effects of ESG disclosure score and its interaction brand reputation on the issuance of green bonds while controlling for other variables, such as fixed effects of industry, region, and time. We also show that it is the S (Social) component of ESG and the interactions of its E (Environmental) and G (Governance) components with brand reputation which drive successful green bond issuance. Besides extending the current research on the impact of brand reputation and ESG on green bonds, these results also have important managerial implications for analysts, fund managers, and firms planning to raise green capital.     

The ultimate resource after 40: A special issue against the grain

The Review of Austrian Economics - This introduction to the special issue in honor of the 40th anniversary of Julian Simon’s book The Ultimate Resource relays the significance of the...     

On preferences and taxation mechanisms in strategic bilateral exchange

Review of Economic Design - In this paper we investigate the effectiveness and the welfare implications of various fiscal policies in strategic bilateral trade. To this end, we reconsider the class...