When faced with a policy decision, we often use historical contexts to predict how the proposed policy will impact outcomes that we care about. But what do we do when there is no relevant historical precedent? How do we determine which policies work best at slowing COVID-19 transmission when we have never seen a pandemic of this magnitude? How do we quantify the benefits of reducing economic risk from extreme events in a world that is warmer than we have ever experienced? In this talk, Ian will survey his doctoral research at ERG, in which he blended traditional econometric tools with process models from diverse fields to provide insight for data-constrained policy decisions like these.
Speaker: Ian Bollinger, Rhodium Group
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