Table 9.

Job loss regressions using a mobility index that excludes workplace mobility

	Dependent variable: involuntary job separations
	(1)	(2)	(3)	(4)
Mobility${}_{i,j}$	− 1.097${}^{\ast \ast }$ (0.542)	− 2.317${}^{\ast \ast }$ (0.978)
Policy${}_{i,j}$			0.174 (0.120)	0.579${}^{\ast \ast }$ (0.292)
Persol${}_i$	− 0.559${}^{\ast \ast }$ (0.272)	− 0.256 (0.251)	− 0.504${}^{\ast \ast }$ (0.257)	− 0.375 (0.247)
Mobility${}_{i,j}\times$ Persol${}_i$		2.352${}^{\ast \ast }$ (1.018)
Policy${}_{i,j}\times$ Persol${}_i$				− 0.842${}^{\ast }$ (0.469)
Observations	282	282	282	282
$R^2$	0.489	0.497	0.485	0.494

Note. ${\text{Mobility}}_{\mathit{ij}}=({\text{Retail}}_{\mathit{ij}}+{\text{Grocery}}_{\mathit{ij}}+{\text{Transit}}_{\mathit{ij}})/3.$ All regressions include prefecture-specific controls and month dummies and are weighted by prefecture population. Standard errors clustered at the prefecture level are shown in parentheses

${}^{\ast }p<0.1$; ${}^{\ast \ast }p<0.05$; ${}^{\ast \ast \ast }p<0.01$