Table 1.

Correlates of the growth in Covid-19 cases.

	Growth in cases from $t$ to $t+1$			Growth in cases from $t$ to $t+2$
	(1)	(2)	(3)	(4)	(5)	(6)
$ln{\left(\text{Reported Deaths}\right)}_{s,t-1}$	−0.0852***	−0.0821***	−0.0841**	−0.144**	−0.149**	−0.172**
	(0.0244)	(0.0248)	(0.0337)	(0.0571)	(0.0565)	(0.0817)
$ln{\left(\text{Occurred Deaths}\right)}_{s,t-1}$	0.0103	0.0133	0.0179	−0.0254	−0.0300	0.0384
	(0.0303)	(0.0296)	(0.0331)	(0.0713)	(0.0723)	(0.0875)
Controls:
Cases in period $t$	Yes	Yes	Yes	Yes	Yes	Yes
Growth in cases $t-1$	No	Yes	Yes	No	Yes	Yes
Growth in deaths $t-1$	No	No	Yes	No	No	Yes
Observations	734	734	700	734	734	700
R-squared	0.495	0.497	0.470	0.548	0.549	0.565
$H_0:{\beta }_1={\beta }_2$	0.063	0.065	0.123	0.324	0.328	0.211

Notes: This table shows how reported and occurred deaths correlate with the growth in Covid-19 cases as reported in the data. Observations are at the state-week level and we show estimates of Eq. (1). Columns 1–3 show the growth rate from week $t$ to $t+1$, while columns 4–6 consider the rate from $t$ to $t+2$. All regressions include state and week fixed effects. Different columns include different additional controls as indicated. Robust standard errors are in parentheses.

*** p $<$ 0.01, ** p $<$ 0.05, * p $<$ 0.1.