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Econometrics | Causal Inference | Applied Microeconomics
I am an Assistant Professor of Economics at the University of Alabama’s Culverhouse College of Business.
My research is in econometrics, with interests in causal inference, estimation and inference, hypothesis testing, measurement error, and machine learning. I develop methods that help researchers make more credible empirical claims, especially in settings with complex data, weak identifying assumptions, and challenging inference problems. My work combines theory with applied questions in economics and related fields.
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Contact
Emmanuel S. Tsyawo
Assistant Professor of
Economics
Culverhouse College of Business, University of Alabama
Email: estsyawo [at] gmail.com
GitHub
Current projects and news
- New package highlight: icmkit provides tools for Integrated Conditional Moment (ICM) estimation and specification testing in linear and nonlinear regression settings.
- Ongoing work on econometric methods for causal inference, treatment effects, and specification testing.
- Recent publication: A Consistent ICM-based χ² Specification Test, with Feiyu Jiang, Econometric Theory (2026).
- Scheduled presentation: Africa Meeting of the Econometric Society (AFES), Cairo, Egypt (June 2026).