Michael Pollmann, Assistant Professor

I'm an econometrician working on causal inference and machine learning. My current focus is on the analysis of spatial data.

Contact Info:

Office Location:	206 Social Sciences, Box 90097, Durham, NC 27708-0097
Email Address:
Web Page:	https://michaelpollmann.github.io

Teaching (Spring 2025):

• ECON 490.05, SELECTED TOPICS IN ECONOMICS Synopsis

  Social Sciences 111, TuTh 10:05 AM-11:20 AM

• ECON 690.07, SELECTED TOPICS IN ECONOMICS Synopsis

  Social Sciences 111, TuTh 10:05 AM-11:20 AM

• ECON 707D.001, ECONOMETRICS II Synopsis

  Social Sciences 136, TuTh 01:25 PM-02:40 PM

• ECON 707D.01D, ECONOMETRICS II Synopsis

  Social Sciences 113, Th 06:30 PM-07:20 PM

• ECON 707D.02D, ECONOMETRICS II Synopsis

  Social Sciences 105, Th 06:30 PM-07:20 PM

• ECON 883.01, TOPICS IN ECONOMETRICS Synopsis

  Social Sciences 111, TuTh 08:30 AM-09:45 AM

Education:

Ph.D.	Stanford University	2022
M.A.	Stanford University	2020

Recent Publications

1. Athey, S; Bickel, PJ; Chen, A; Imbens, GW; Pollmann, M, Semi-parametric estimation of treatment effects in randomised experiments, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 85 no. 5 (November, 2023), pp. 1615-1638, Oxford University Press (OUP) [doi]  [abs]
2. Bäuml, M; Dette, T; Pollmann, M, Price and income effects of hospital reimbursements., Journal of health economics, vol. 81 (January, 2022), pp. 102576 [doi]  [abs]
3. Athey, S; Imbens, GW; Pollmann, M, Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei, Journal of the American Statistical Association, vol. 114 no. 528 (October, 2019), pp. 1602-1604 [doi]