On Policy Evaluation with Aggregate Time-Series Shocks
2022-02-11 16:17
Время: February 18th (Friday) 14.00 Moscow time Спикер: Dmitry Arkhangelsky (Associate Professor at CEMFI, Madrid) Название: On Policy Evaluation with Aggregate Time-Series Shocks
Область исследования Applied Econometrics, Causal Inference, Policy Evaluation, Panel Data
Какую проблему призвано решить ваше исследование? "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."
Что обнаружило ваше исследование? "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."
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