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. 2022 Sep 29;150:104283. doi: 10.1016/j.euroecorev.2022.104283

Table 1.

Transmission equation (IV) conditioned on different definitions of population density.

(1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)
Full sample 1st month after first 10 cases
ΔInfectiousot 1.19*** 1.34*** 1.24*** 1.27*** 1.29*** 1.09*** 1.21*** 1.08***
(0.08) (0.29) (0.16) (0.28) (0.07) (0.14) (0.11) (0.12)
log density −0.02 0.03**
 X ΔInfectiousot (0.05) (0.01)
ln density −2.01** −1.37***
(0.87) (0.45)
log built density −0.01 0.02*
 X ΔInfectiousot (0.03) (0.01)
log built density −1.34** −0.90***
(0.62) (0.30)
log house density −0.01 0.03***
 X ΔInfectiousot (0.05) (0.01)
log house density −2.13** −1.41***
(0.98) (0.45)
Observations 583,301 583,301 577,393 582,656 87,146 87,146 86,449 87,056
State-day fixed effects Yes Yes Yes Yes Yes Yes Yes Yes
Kleibergen Paap F 146.5 72.28 19.31 37.97 132.5 63.39 48.74 60.44
Hansen J 1.329 3.190 3.202 3.823 3.520 3.579 3.634 3.591
p-value 0.249 0.203 0.202 0.148 0.0606 0.167 0.162 0.166

Notes. ***p  <  0.01, **p  <  0.05, *p  <  0.1. The dependent variable is the county-day level of cases. Estimated in first differences. Twoway (county and day) clustered standard errors in parentheses. ΔInfectiousotis the 6-day lagged 5-day average number of infected, weighted for each destination county with the origin-normalized commuting flows, multiplied with the origin population.