Speaker: Dmitry Arkhangelsky (Associate Professor at CEMFI, Madrid)
Title: On Policy Evaluation with Aggregate Time-Series Shocks
Applied Econometrics, Causal Inference, Policy Evaluation, Panel Data
What problem is your research intended to solve?
"Commonly used (e.g., in macro or development) approach to estimation of policy-relevant effects using aggregate instruments (TSLS with fixed effects) is valid only under quite restrictive conditions. In this work we propose a method which shares the simplicity of the TSLS but remains valid in much more general context."
What have your study found?
"We propose a new algorithm and show its superiority to the currently used benchmark. Our method can be used to estimate policy-relevant effects using aggregate shocks as instruments."
More information, a link to the research and the upcoming seminar here.
It is planned to stream to our YouTube channel and record the seminar.
We are looking forward to seeing you!