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Found 2 papers, 1 papers with code
Extracting Economic Signals from Central Bank Speeches
This “dispersion shock” series is not only more frequent than series that classically focus on policy announcement dates, it also opens up the possibility of answering new questions that have up until now been difficult to analyse.
Bayesian Topic Regression for Causal Inference
To this end, we combine a supervised Bayesian topic model with a Bayesian regression framework and perform supervised representation learning for the text features jointly with the regression parameter training, respecting the Frisch-Waugh-Lovell theorem.
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