Journal and Conference Articles
Regression Discontinuity Design under Self-selection [with Yang Ning (Cornell)] [AISTAT, 2021]
Local Regression Smoothers with Set Valued Outcome Data [with Q. Li (University of Bern), I. Molchanov (U of Bern), and F. Molinari (Cornell)][International Journal of Approximate Reasoning, Jan 2021]
Mostly Harmless Regulation? Health Warnings, Electronic Cigarettes, and Consumer Welfare [with D. Kenkel (Cornell), M. Pesko (Georgia State), and H. Wang (Cornell)] [Journal of Health Economics, Aug 2020]
High Dimensional Propensity Score Estimation via Covariate Balancing [with Yang Ning (Cornell), Kosuke Imai (Harvard)] [code] [Biometrika, Jun 2020]
Working papers
The Impact of AI on Developer Productivity: Evidence from GitHub Copilot [with E.Kalliamvakou (GitHub), P. Cihon (GitHub), M. Demirer (MIT)] Link to Data
Digitization and Employment in the Pandemic:Evidence from Seventy Billion Emails [with P. Wang (MSR), E. Auerbach (Northwestern), H. Liang (Microsoft) and A. Wu (HBS)]
Online Search and Product Rankings: A Double Logit Approach [with G. Compiani (U Chicago), G. Lewis (MSR) and P. Wang (MSR)]
Network Peer Effects without Network Data: Identification and Estimation of Network Structure in the Presence of Latent, Unobserved Factors [with Alan Griffith (U of Washington)]
Estimation and Inference for Partially Linear Models with Estimated Outcomes Using High-Dimensional Data [with Y. Ning (Cornell) and J. Tao (U of Washington)]
A Graphical Lasso Approach to Estimating Network Connections: The Case of U.S. Lawmakers [with M. Battaglini (Cornell), F. Crawford (Yale), and E. Patacchini (Cornell)]
Heterogeneous Endogenous Effects in Networks [Appendix] [package + empirical replication] [Slides]
On Testing Continuity and the Detection of Failures [with Matthew Backus (Columbia)] [code]
econet: An R package for parameter-dependent network centrality measures [with M. Battaglini (Cornell), V. Sciabolazza (U of Naples) and E. Patacchini (Cornell)] [code] [R&R]
Work in Progress
Data, Privacy Laws and Firm Production: Evidence from GDPR [with D. Hernandez (Fed), D. Li (MIT), M. Demirer (MIT)]
Estimating the Effects of a New Technology using a Duration Model for Staggered Adoption [with Aureo de Paula (UCL)]
Partial identification and credible estimation for stochastic epidemics with missing data [with Forrest Crawford (Yale)]
Effort Provision in a Social Coding Platform: Evidence from GitHub and StackOverflow Linked Data [with L. Barseghyan (Cornell), F. Molinari (Cornell) and M. Thirkettle (Rice)]