Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/243003 
Year of Publication: 
2020
Series/Report no.: 
Working Paper No. 2019
Publisher: 
Koç University-TÜSIAD Economic Research Forum (ERF), Istanbul
Abstract: 
This paper investigates the state-level differences in government and community responses to the Covid-19 pandemic, leading to different growth trajectories of Covid-19 cases and their connectedness across the U.S. states. Our regression analysis shows that higher growth trajectories are observed in the states that implemented the lax government and community response to the pandemic. Moving to the analysis of spillovers/connectedness of Covid-19 cases across the states, we apply the Diebold-Yilmaz connectedness methodology to the growth rates of Covid-19 cases. Using the total directional connectedness measures, we find that the states with lax government and community response generated connectedness of Covid-19 cases to others. These findings are also supported by the secondary regression analysis of pairwise connectedness measures over time. Finally, the travel intensity between the pairs of states, indirectly measured by the data on smartphone location exposure, contributes significantly to the pairwise directional connectedness of Covid-19 across the states.
Subjects: 
Covid-19
Coronavirus
Spillovers
Connectedness
Government policy stringency
Community mobility
Travel Intensity
JEL: 
I10
I18
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.