Table 5.

Relationship between trump tweets and racial animus nationwide.

	(1)	(2)	(3)	(4)
VARIABLES	Twitter ch-word	Twitter ch-word	Log(incidents)	Log(incidents)
China-and-COVID(t)	0.0482**	0.0493**	0.0799*	0.0888**
	(0.0234)	(0.0246)	(0.0453)	(0.0398)
China only(t)	$-$0.0126	$-$0.0130	$-$0.0592	$-$0.0332
	(0.0131)	(0.0133)	(0.0815)	(0.0844)
COVID only(t)	0.0008	0.0006	$-$0.0014	0.0004
	(0.0038)	(0.0040)	(0.0146)	(0.0143)
New diagnoses		$-$0.0000		0.0000*
		(0.0000)		(0.0000)
New deaths		0.0001		0.0001
		(0.0001)		(0.0003)
Observations	123	123	45	45
R-squared	0.519	0.522	0.812	0.829
Outcome mean	0.344	0.344	3.1932	3.1932

Notes: The table presents the relationship between the number of President Trump’s tweets about COVID-19 and/or China and racial animus nationwide. The outcome variable in columns (1) and (2) is the daily number of ch-word tweets per 100,000 “the” tweets nationwide between January 1, 2020 and May 2, 2020. The outcome variable in columns (3) and (4) is the natural log of the daily number of anti-Asian hate incidents nationwide from AP3CON Stop AAPI Hate Reporting system between March 19, and May 2, 2020. We categorize the president’s tweets that include “china”, “chinese”, “huawei”, “xi”, “COVID”, “COVID-19”, “corona”, “coronavirus”, “virus”, “epidemic”, or “pandemic” into three categories: “China-and-COVID” is the daily number of the president’s tweets mentioning both China and COVID-19; “China only” those mentioning only China; and “COVID only” those mentioning only COVID-19. “New diagnoses” and “New deaths” are the daily number of COVID-related new cases and deaths in the United States. All regressions control for year-week fixed effects and day-of-week fixed effects. Standard errors are clustered by date. *** $p<$0.01, ** $p<$0.05, * $p<$0.1.