. 2020 Oct 21;127:103292. doi: 10.1016/j.jue.2020.103292

Table 1.

Multiple city demographics.

	(1)	(2)	(3)	(4)	(5)	(6)	(7)
	$l n (C a s e s_{i})$ OLS	$l n (C a s e s_{i})$ OLS	$l n (C a s e s_{i})$ OLS	$l n (C a s e s_{i})$ OLS	$l n (C a s e s_{i})$ OLS	$l n (C a s e s_{i})$ IV	$l n (C a s e s_{i})$ IV
$% Δ T r i p s_{i}$	0.019 $^{* * *}$	0.015 $^{* * *}$	0.019 $^{* * *}$	0.008 $^{* * *}$	0.007 $^{* * *}$	0.051 $^{* * *}$	0.025 $^{* * *}$
	(0.002)	(0.002)	(0.002)	(0.002)	(0.002)	(0.005)	(0.009)
$% A f A m_{i}$		0.573 $^{* * *}$			0.142 $^{*}$		0.134
		(0.073)			(0.081)		(0.086)
$l n (A g e_{i})$			0.780 $^{* * *}$		0.289		0.131
			(0.215)		(0.232)		(0.302)
$l n (I n c_{i})$				0.623 $^{* * *}$	0.627 $^{* * *}$		0.378 $^{* * *}$
				(0.053)	(0.072)		(0.137)
R-Sq.	0.531	0.571	0.549	0.648	0.652
Root MSE						0.626	0.469
Obs.	448	448	448	448	448	448	448
F-Stat.						83.82	81.12
Fixed Effects
CBSA	X	X	X	X	X	X	X

Notes: The dependent variable is total cases per capita in zip code $i$ . All columns control for log of healthcare employment. Columns (1)–(5) implement versions of Eq. (1), $l n (T o t a l C a s e s_{i}) = α + β % Δ T r i p s_{i} + C i t y_{c} + ε_{i},$ each column adding additional demographics. Columns (6)–(7) implement versions of Eq. (1.2), $l n (T o t a l C a s e s_{i}) = α + β \hat{% Δ T r i p s_{i}} + C i t y_{c} + ε_{i}$ . Eq. (1.1) available upon request. Specifications (6) and (7) include both the teleworking and essential share instruments. Robust standard errors included in parentheses. Significance: $^{*} p < 0.10,^{* *} p < 0.05,^{* * *} p < 0.01 .$