Estimation of Nonlinear Exchange Rate Dynamics in Evolving Regimes
This paper develops a new econometric framework to estimate and classify exchange rate regimes.
Research
Regional and Racial Variation in Health Care among Medicare Beneficiaries: A Brief Report of the Dartmouth Atlas Project
The U.S. health care system faces unprecedented challenges. Overall life expectancy has improved, but racial and socioeconomic disparities in mortality and health status have recently been widening.
Comparative Effectiveness and Safety of Seizure Prophylaxis Among Adults After Acute Ischemic Stroke
Background: Older adults occasionally receive seizure prophylaxis in an acute ischemic stroke (AIS) setting, despite safety concerns.
How the Identity of Substance Users Shapes Public Opinion on Opioid Policy
How do media portrayals of potential policy beneficiaries’ identities sway public support for these policies in a public health setting?
The 15-Minute City Quantified Using Mobility Data
Americans travel 7 to 9 miles on average for shopping and recreational activities, which is far longer than the 15-minute (walking) city advocated by ecologically-oriented urban planners.
America Needs More Immigration to Defeat Inflation
Consumer prices in the United States rose at an annualized rate of 7.7 percent in October, the ninth straight month above seven percent, thanks to still surging demand and stumbling supply.
How to save the WTO with more flexible trading rules
The clash between the Western and Chinese economic systems is threatening the world trading system, with countries increasingly using trade as a tool to coerce other countries.
American Indian Self-Determination Through Self-Governance: The Only Policy That Has Ever Worked
In testimony before the Alyce Spotted Bear and Walter Soboleff Commission on Native Children on December 15, 2022, Joseph Kalt, Ford Foundation Professor of International Political Economy, Emeritus t
Algorithm, Human, or the Centaur: How to Enhance Clinical Care?
There is a growing amount of evidence that machine learning (ML) algorithms can be used to develop accurate clinical risk scores for a wide range of medical conditions.
Understanding the Opioid Epidemic: Human-Based Versus Algorithmic-Based Perceptions, Treatments, and Guidelines
As a major public health crisis, the opioid epidemic caused over 556,000 deaths in the U.S. between 2000 and 2020.
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