Publications

In recent years, there has been an increasing trend in supply chains to employ a “control tower” approach to improve supply chain performance. One such strategy is customer-managed inventory (CMI) in which the customer (the downstream party)…

We introduce an approach to evaluate language model (LM) agency using negotiation games. This approach better reflects real-world use cases and addresses some of the shortcomings of alternative LM benchmarks. Negotiation games enable us to study…

Rising prices are a major cause of increased health care spending and health insurance premiums in the US. Hospital prices, specifically—for both inpatient and outpatient care—are the largest driver of rising health care spending in the…

Rising prices are a major cause of increased health care spending and health insurance premiums in the US. Hospital prices, specifically—for both inpatient and outpatient care—are the largest driver of rising health care spending in the…

We show that people’s perceptions of public figures’ personalities can be accurately predicted from their names’ location in GPT-3’s semantic space. We collected Big Five personality perceptions of 226 public figures from 600 human raters. Cross-…

Objective

The standard method of generating disorder-specific disability scores has lay raters make rankings between pairs of disorders based on brief disorder vignettes. This method introduces bias due to differential rater knowledge of…

Social norms research is booming. In recent years, several experts have recommended using social norms (unwritten rules that prescribe what people ought or ought not to do) to confront the societal, environmental and health challenges our…

Many corporate venture capital initiatives (CVCs) don’t deliver on their potential to bolster innovation. Research finds that these units often fit awkwardly within their parent companies, fail to meet their goals, or lack clear objectives. The…

When researchers develop new econometric methods it is common practice to compare the performance of the new methods to those of existing methods in Monte Carlo studies. The credibility of such Monte Carlo studies is often limited because of the…

Estimation of heterogeneous treatment effects (HTE) is of prime importance in many disciplines, from personalized medicine to economics among many others. Random forests have been shown to be a flexible and powerful approach to HTE…

Clinical care in modern intensive care units (ICUs) combines multidisciplinary expertise and a complex array of technologies. These technologies have clearly advanced the ability of clinicians to do more for patients, yet so much equipment also…

This paper studies the semisupervised novelty detection problem where a set of “typical” measurements is available to the researcher. Motivated by recent advances in multiple testing and conformal inference, we propose AdaDetect, a flexible…

We propose an economic framework for determining the optimal allocation of a scarce supply of vaccines that become gradually available during a public health crisis, such as the COVID-19 pandemic. Agents differ in observable and unobservable…

Background

Little is known about hospital pricing for coronary artery bypass grafting (CABG). Using new price transparency data, we assessed variation in CABG prices across US hospitals and the association between higher…

Bayesian principles show up across many domains of human cognition, but wishful thinking — where beliefs are updated in the direction of desired outcomes rather than what the evidence implies — seems to threaten the universality of Bayesian…

Using administrative data, we analyze the response to Proposition 30, a 2012 measure that increased California marginal tax rates by up to 3 percentage points for high-income households. Relative to baseline departure rates, an additional 0.8…

We empirically document two adjustment margins that are usually absent from the predominant “bank balance sheet lending” view of financial intermediation. For the shadow bank substitution margin, shadow banks substitute for traditional banks…

We examine the role of assurance — third-party verification — on carbon accounting quality. We develop a measure of carbon accounting quality based on the deviation of reported emissions from a model-based expected level and use two other survey-…