We use machine learning as a tool to study decision making, focusing specifically on how
physicians diagnose heart attack. An algorithmic model of a patient's probability of heart …

This article examines the trade-offs of monitoring for wasteful public spending. By penalizing
unnecessary spending, monitoring improves the quality of public expenditure and …

This study investigates the causal effect of hospital volume on health gains from hip
replacement surgery in the English National Health Service. We exploit a unique dataset …

The cost effectiveness of medical treatments is not precisely known due to the compounding
effect of multiple determining factors. Ambulance response time (RT) to emergency calls is …

We hypothesize that deepening resource scarcity results in rationing on the basis of group
identity in settings with underlying discrimination. We provide evidence of such race-based …

The design of public procurement largely consists of choosing the extent of discretion
allowed to procurement agencies. Discretion can improve the quality of projects but it can …

Recent work in representative bureaucracy focuses on the micro-foundations of
representation and explores the conditions for who represents and who receives …

Ambulance response time to emergency calls is a key indicator of a health system's
efficiency although its impact on health is not precisely known. This causal relation is …

Spending at end of life (EOL) accounts for a large and growing share of healthcare
expenditures in the US, and often reflects aggressive care with questionable value for dying …

Competition and empowering patient choice have been popular policy tools to incentivize
quality in health care markets. Market mechanisms work if consumers follow high quality …