Jakob R. Juergens

About Me

I am a fifth-year Ph.D. candidate in Economics at the University of Wisconsin–Madison, advised by Jack R. Porter, Bruce E. Hansen, and Harold D. Chiang.

I develop asymptotic theory for inference with nonparametric estimators, including nearest-neighbor methods and random forests. Using generalized U-statistics, I study their limiting distributions and the validity of jackknife variance estimation.

My work also develops pointwise inference for heterogeneous treatment effects. I study conditions under which nuisance functions can be learned from the full sample without cross-fitting, preserving scarce local information.

• Research Areas: Econometric theory, nonparametric and causal inference, generalized U-statistics, random forests
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