Machine Learning

The papers are sorted in reverse chronological order according to the dates of the latest draft for unpublished papers (shown in square brackets) or the date of publication for the published papers. Click on the titles of papers to access various versions of the paper and other material such as codes, data and slides, where available.

Current research is supported by National Science Foundation grants SES 1061725, SES 1425740, and SES 1851093.

Reconciling Narrative and High-Frequency Identification of Monetary Policy Shocks: A Machine Learning Approach (with Thomas Drechsel) [Draft Coming Soon].