Table A.4.

Income, school rurality and race.

	School-	Parent-
	centered	centered	Google	Khan
	resources	resources	Classroom	Academy
	(1)	(2)	(3)	(4)
Post-Covid * Household income	0.10**	0.07***	0.06	0.04**
	(0.04)	(0.01)	(0.04)	(0.02)
Post-Covid * Fraction of schools in rural areas	−0.08***	−0.02**	−0.13***	−0.05***
	(0.03)	(0.01)	(0.04)	(0.02)
Post-Covid * Fraction of students who are Black	−0.07**	−0.04***	−0.00	−0.05***
	(0.03)	(0.01)	(0.03)	(0.01)
N	50,400	50,400	50,400	50,400

Notes: Heteroskedasticity robust standard errors clustered by DMA are in parentheses (* p < .10 ** p < .05 *** p < .01). Each column is a separate regression of the logarithm of the listed topic’s search intensity on a post-March 1 indicator interacted with the DMA-level characteristics shown (and includes their direct effects). Income is measured per $10,000, while the remaining variables are scaled to interpret coefficients as predicted effects of a 10 percentage point increase in the interacted characteristic. The regressions are weighted by DMA population and include fixed effects for week of year (1–52) and school year (2015–2020). The sample contains search data from June 2015 through May 2020, excluding March 2020 and weeks with major school holidays.