Hi! I’m Dylan Balla-Elliott;

I’m a PhD candidate in the Economics Department at the University of Chicago. My research interests are in labor and applied econometrics.
Papers
Balla-Elliott, Dylan (2025). "Identifying Causal Effects in Information Provision Experiments." arXiv:2309.11387
Revise and Resubmit, ReStat
Revise and Resubmit, ReStat
Abstract
Information treatments often shift beliefs more for people with weak belief effects. Since standard TSLS and panel specifications in information provision experiments have weights proportional to belief updating in the first-stage, this dependence attenuates existing estimates. This is natural if people whose decisions depend on their beliefs gather information before the experiment. I propose a local least squares estimator that identifies unweighted average effects in several classes of experiments under progressively stronger versions of Bayesian updating. In five of six recent studies, average effects are larger than–in several cases more than double–estimates in standard specifications.Code [Under Construction]
An R package is under construction. Please email me for example code in R and Stata in the meantime!Balla-Elliott, Dylan, Zoë B. Cullen, Edward L. Glaeser, Michael Luca, and Christopher Stanton (2022). "Determinants of Small Business Reopening Decisions After Covid Restrictions Were Lifted". Journal of Policy Analysis and Management 41.1, pp. 278–317. DOI: 10.1002/pam.22355