The effects of treatments are often heterogeneous, depending on the observable
characteristics, and it is necessary to exploit such heterogeneity to devise individualized …

We study a class of binary treatment choice problems with partial identification, through the
lens of robust (multiple prior) Bayesian analysis. We use a convenient set of prior …

Economic policies often involve dynamic interventions, where individuals receive repeated
interventions over multiple periods. This dynamics makes past responses informative to …

In this paper, we explore optimal treatment allocation policies that target distributional
welfare. Most literature on treatment choice has considered utilitarian welfare based on the …

Point identification of causal effects requires strong assumptions that are unreasonable in
many practical settings. However, informative bounds on these effects can often be derived …

Research underscores the role of naturalization in enhancing immigrants' socio‐economic
integration, yet application rates remain low. We estimate a policy rule for a letter‐based …

We apply classical statistical decision theory to a large class of treatment choice problems
with partial identification, revealing important theoretical and practical challenges but also …

This paper documents the first-order welfare effects of firm heterogeneity under a
homogeneous emission tax regime. Local and firm-level variations in market power …

I use rich administrative data and several quasi-experiments in Texas to study which
students benefit most from college grant aid and why. For “extensive-margin” students, grant …

Though ubiquitous in research and practice, mean-based “value-added” measures may not
fully inform policy or welfare considerations when policies have heterogeneous effects …