Xinyue Bei,

I’m an economics PhD student at Duke University.  

I’m an econometrician working primarily on inference in partially identified models with applications in structural models, sensitivity analysis and counterfactual analysis. I am also interested in hypothesis tests in nonstandard situations, with applications to normal mixtures and regime switching, sample selectivity, skew normal distributions, and serial correlation.

I will be on the job market in 2023-2024.

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Web Page:	https://xinyuebei-econ.github.io/

Recent Publications

1. Bei, X, Local Linearization Based Subvector Inference in Moment Inequality Models (March, 2023)
2. Bei, X, Local Linearization Based Subvector Inference in Moment Inequality Models (September, 2022)
3. Bei, X, Local Linearization Based Subvector Inference in Moment Inequality Models (December, 2021)
4. Amengual, D; Bei, X; Sentana, E, Hypothesis Tests with a Repeatedly Singular Information Matrix (February, 2020)