Raffaella Giacomini
Research Fellow
Raffaella Giacomini came to UCL from a position at UCLA in summer 2007. Her recent research focuses on: Predictive Ability Testing, Forecast Evaluation, Forecasting in a Changing Economy, Model Selection, Density and Quantile Forecasting. She works at the Centre for Microdata Methods and Practice (cemmap).
Academic outputs
Cemmap Working Paper CWP33/20
Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored in empirical practice.
Cemmap Working Paper CWP12/20
This paper reconciles the asymptotic disagreement between Bayesian and frequentist inference in set-identiļ¬ed models by adopting a multiple-prior (robust) Bayesian approach.
Reports and comment
External publication
We propose a method for modifying a given density forecast in a way that incorporates the information contained in theory-based moment conditions.