Uncertainty in a Disaggregate Model: A Data Rich Approach Using Google Search Queries
73 Pages Posted: 26 Nov 2019 Last revised: 30 Nov 2019
Date Written: November 25, 2019
Abstract
This paper estimates the impact of uncertainty shocks in a disaggregate model featuring state-level unemployment and uncertainty, which is measured using Google search data. We show that the disaggregate model captures important spillover effects which a model using aggregate data would overlook resulting in significantly different peak responses and time dynamic effects. We find the effect of uncertainty shocks on state-level unemployment is recessionary and heterogeneous. The importance of national factors in propagating the effect of uncertainty is also heterogeneous across states, and overall less relevant than state-level factors. These heterogeneous effects are found to be related to state-specific industry compositions and the fiscal position.
Keywords: Google Trends uncertainty, uncertainty shocks, regional effects
JEL Classification: C32, E32
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