Paul Delatte

Paul Delatte

PhD Student at USC

About me

I am a PhD student in the Economics department at the University of Southern California.

I specialize in econometrics and statistics. I have accumulated experience working with business data and macro-finance data. I am open to collaborations, both on theoretical and applied problems.

You can sometimes find me at the USC Marshall School of Business, either in the department of Data Sciences and Operations or in the Finance and Business Economics department.

Research interests

  • Statistical decision theory: minimax theorems; numerical approximation of least favorable priors and minimax rules; estimation in restricted parameter spaces.
  • Causal inference, missing data, and experimental methods: weak identification and uniform inference; inference with adaptively collected data; A/B testing with market power.
  • Bayesian inference: Bayesian nonparametric inference; Bayesian estimation of economic models; prior sensitivity; frequentist properties of Bayesian methods.
  • Resampling and simulation methods: bootsrap consistency; fast estimation of economic models.

Education