Table A2.

Income quintiles of respondents.

Income quintiles	China	Japan	South Korea	Italy	United Kingdom	United States
First quintile	20.2	21.1	21.5	16.7***	18.1*	17.4**
	(1.3)	(1.3)	(1.4)	(1.2)	(1.2)	(1.2)
Second quintile	20.0	21.3	17.7*	17.5**	18.1*	18.9
	(1.3)	(1.3)	(1.3)	(1.2)	(1.2)	(1.2)
Third quintile	19.9	21.8	21.7	23.9**	19.7	21.0
	(1.3)	(1.3)	(1.4)	(1.3)	(1.3)	(1.3)
Fourth quintile	19.9	19.0	21.8	25.8***	22.3*	23.6***
	(1.3)	(1.3)	(1.4)	(1.4)	(1.3)	(1.3)
Fifth quintile	19.9	16.8*	17.3**	16.2***	21.8	19.2
	(1.3)	(1.2)	(1.2)	(1.2)	(1.3)	(1.2)
Total	100	100	100	100	100	100

Note: This tables reports the distribution of respondents by the income quintiles. The COVID-19 survey did not collect the amount of income. Respondents chose one of five income brackets, which are obtained by calculating quintiles of the gross household income distribution from the last available wave of nationally representative household surveys or census data (Belot et al., 2020). If the COVID-19 survey samples are representative along the income quintiles, the proportion of respondents in each quintile should be 20%.

The standard error of the estimates from the COVID-19 survey is reported in parentheses. We assume that there are no standard errors associated with the official estimates.

*** p < 0.01, ** p < 0.05, * p < 0.1: denote the significance level of the Z-test of equality of the proportion between the COVID-19 estimates and 20%.