In this paper we outline the tools that have been developed to model and analyze competition and regulation in health care markets, and describe particular papers that apply them to policy-relevant questions. We focus particularly on the I.O. models and empirical methods and analyses that...

This paper investigates the health of white adolescents, focusing particularly on the roles of family background and preventive medical care. This emphasis is motivated in part by our desire to study adolescent health in the context of the nature-nurture controversy. The findings indicate first,...

Using micro data on virtually all of the drugs and diseases of over 500,000 people enrolled in Puerto Rico's Medicaid program, we examine the impact of the vintage (original FDA approval year) of drugs used to treat a patient on the patient's 3-year probability of survival, controlling for...

The health sector is filled with institutions and decision-making circumstances that create friction in markets and cognitive errors by decision makers. This paper examines the potential contributions to health economics of the ideas of behavioral economics. The discussion presented here focuses...

The challenges consumers face in acquiring and using information are a defining feature of health care markets. In this paper, we examine demand for health information on the Internet. We find that individuals in poor health are more likely than those in better health to use the Internet to...

We investigate the effect of managed care on the health care system, focusing on the effects managed care could have on the number and types of health care providers and their efficiency. By influencing providers, managed care may change the structure and performance of the entire health care...

We provide a theoretical and empirical analysis of the link between financial and real health care markets. This link is important as financial returns drive investment in medical research and development (R&D), which in turn, affects real spending growth. We document a "medical innovation...

Difference-in-Difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no...