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[Preprint]. 2021 Jun 21:arXiv:2106.11012v1. [Version 1]

Table 3.

Treatment Effect on COVID-19 Cases at Zip Code Level*

Mean (CI 95%) OLS model Num
Campaign Outcome Period County treatment Treatment Control Treatment (CI 95%) p-value RI p-value
Both campaigns Asinh(Fortnightly Cases) Dec/Jan 1–14 All 4.350 (4.302,4.398) 4.370 (4.323,4.417) −0.035 (−0.062,−0.007) 0.013 0.009
Low Intensity 4.359 (4.273,4.445) 4.358 (4.305,4.411) −0.032 (−0.067,0.004) 0.080 0.097
High Intensity 4.347 (4.295,4.399) 4.407 (4.325,4.489) −0.039 (−0.075,−0.003) 0.033 0.038
Thanksgiving Asinh(Fortnightly Cases) Dec 1–14 All 4.333 (4.278,4.388) 4.298 (4.243,4.353) −0.027 (−0.059,0.005) 0.097 0.108
Low Intensity 4.284 (4.170,4.399) 4.256 (4.192,4.320) −0.015 (−0.063,0.033) 0.535 0.498
High Intensity 4.348 (4.285,4.411) 4.418 (4.313,4.523) −0.039 (−0.082,0.004) 0.078 0.096
Christmas Asinh(Fortnightly Cases) Jan 1–14 All 4.368 (4.310,4.425) 4.442 (4.385,4.499) −0.042 (−0.073,−0.012) 0.007 0.010
Low Intensity 4.429 (4.312,4.547) 4.456 (4.391,4.522) −0.048 (−0.091,−0.006) 0.025 0.043
High Intensity 4.346 (4.280,4.412) 4.396 (4.281,4.510) −0.036 (−0.080,0.008) 0.108 0.111
*

This table provides the control and treatment means at the zip code level, in addition to the estimate of the treatment coefficient in equation (2). The outcome is the inverse hyperbolic sine of the fortnightly cases, during a period which starts five to seven days after the event (Thanksgiving or Christmas). 95% CI are reported in parentheses. Standard errors are clustered at the zip level.