COVID-19 Case Origin Disclosure and Insurance Take-up: The Moderating Role of Heuristics
This table reports the results on the role of heuristics in affecting how the take-up of COVID-19 insurance responds to local public disclosure of the case origins (Disclose (t-1), a dummy that equals one for having such origin disclosure). Each observation refers to a prefecture-day combination. Robust standard errors in parentheses are clustered at cities. All regression models include a constant and its estimates are not tabulated for brevity. *** p < 0.01, ** p < 0.05, * p < 0.1. Control variables in Table 2 are also controlled, but are not tabulated. Scaled-Cumulative Confirmed is prefectural cumulative confirmed cases scaled by local population in the prefecture city in 2018. Scaled-Cumulative Confirmed (t-1) > 0.05 is a dummy set to 1 if the scaled-cumulative number of confirmed cases in prefecture i in day t-1 is larger than 0.05 person per 10 thousand people, and 0 otherwise. SARS Cases Above 1000 is a dummy set to 1 if a province's confirmed cases in the SARS pandemic in 2003 exceeded 1000, and 0 otherwise. SARS Cases Above 1000 per se is absorbed by prefecture fixed effects. Milestone200 (t-1) is a dummy set to 1 if the cumulative confirmed cases in prefecture i in day t-1 has reached 200 cases, and 0 otherwise.