Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach
A main research goal in various studies is to use an observational data set and provide a new set of counterfactual guidelines that can yield causal improvements.
A main research goal in various studies is to use an observational data set and provide a new set of counterfactual guidelines that can yield causal improvements.
The number of disability beneficiaries has doubled in the past two decades. It is difficult to determine how much is explained by changes in health, as we lack a counterfactual.
Health plans for the poor increasingly limit access to specialty hospitals. We investigate the role of adverse selection in generating this equilibrium among private plans in Medicaid.
Regulators of new products confront a tradeoff between speeding a new product to market and collecting additional product quality information.
We use a lab-in-the-field experiment to explore the influence of parents and peers in shaping adolescents’ beliefs on whether they are better in male-typed fields (math) versus female-typed fields (li
We examine differences in mobility outcomes between residents of highest and lowest socio-economic index (SEI) at the Census block group (CBG) level in nine major US cities prior to and during the COV
The article explores the ways in which pretrial incarceration affects job retention, job-seeking, and relative confidence or lack of confidence in the ability to succeed in getting a job.
This article describes some of the challenges of effective governance for sustainability at the subnational level of government.
Abstract Introduction The COVID-19 pandemic focused attention on city parks as important public resources. However, monitoring park use over time poses practical challenges.
To address complex social challenges, it is widely recognized that leaders from public, for-profit, and civic organizations should join forces.
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