# Sida Peng

> Sida Peng is a Senior Director of Economics in the Office of the Chief Economist at Microsoft. His research spans econometrics, industrial organization, and the economics of artificial intelligence, with published or forthcoming work in the Journal of Political Economy, Journal of Economic Perspectives, Management Science, Marketing Science, Biometrika, and the Journal of Health Economics.

## About
- Role: Sr. Director of Economics, Office of the Chief Economist, Microsoft (Redmond, WA).
- Education: Ph.D. in Economics, Cornell University (2017); M.S. Statistics, B.S. Mathematics, and B.A. Economics, University of Virginia (2011).
- Research interests: econometrics, industrial organization, the economics of AI, causal inference, and networks.
- Contact: sidpeng [at] microsoft.com

## Pages
- [About](https://www.sidapeng.com/): biography and contact information.
- [Research](https://www.sidapeng.com/research-1): full list of publications, working papers, and work in progress.
- [CV (PDF)](https://www.sidapeng.com/s/resume-j8md.pdf): curriculum vitae.

## Selected publications
- The Emerging Market for Intelligence: Pricing, Supply and Demand for LLMs — with Mert Demirer, Andrey Fradkin, Nadav Tadelis. Journal of Economic Perspectives, forthcoming (2026). https://demirermert.github.io/Papers/Demirer_LLM_demand.pdf
- The Effects of Generative AI on High-Skilled Work: Evidence from Three Field Experiments with Software Developers — with Mert Demirer, Kevin Cui, Sonia Jaffe, Leon Musolff, Tobias Salz. Management Science (2026). https://demirermert.github.io/Papers/Demirer_AI_productivity.pdf
- Data, Privacy Laws and Firm Production: Evidence from GDPR — with Mert Demirer, Diego Jimenez Hernandez, Dean Li. Conditionally accepted, Journal of Political Economy.
- The Impact of AI on Developer Productivity: Evidence from GitHub Copilot — with E. Kalliamvakou, P. Cihon, M. Demirer. Council of Economic Advisers' Annual Report to the President (2024). https://arxiv.org/abs/2302.06590
- Online Search and Optimal Product Rankings: An Empirical Framework — with Will Wang, Giovanni Compiani, Greg Lewis. Marketing Science, 43(3): 615-636 (2024). https://pubsonline.informs.org/doi/10.1287/mksc.2022.0071
- High Dimensional Propensity Score Estimation via Covariate Balancing — with Yang Ning, Kosuke Imai. Biometrika (2020). https://imai.princeton.edu/research/hdCBPS.html

## Selected working papers
- Firm Inertia in the Public Cloud — with Chuqing Jin, Will Wang. 27th ACM Conference on Economics and Computation (EC'26).
- Generative AI and the Nature of Work — with Manuel Hoffmann, Sam Boysel, Frank Nagle, Kevin Xu. R&R at Management Science. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5007084

## Links
- ORCID: https://orcid.org/0000-0002-2151-0523
- Google Scholar: https://scholar.google.com/citations?user=YoMpVkMAAAAJ&hl=en
- LinkedIn: https://www.linkedin.com/in/sida-peng-2a555a38/
- Microsoft Research, Microeconomics group: https://www.microsoft.com/en-us/research/group/microeconomics/

## Disambiguation
There is more than one researcher named "Sida Peng." This profile refers specifically to the
**economist** Sida Peng at Microsoft (Ph.D. in Economics, Cornell University, 2017), whose work is
in econometrics, industrial organization, and the economics of AI.
Canonical identifiers: ORCID 0000-0002-2151-0523; Google Scholar author ID YoMpVkMAAAAJ.