COVID-19, stigma, and habituation: evidence from mobility data

BMC Public Health

Table 11 Result of spatial panel data analysis for the association between emergency statement and mobility for the prefectures in Japan

dependent	explanatory	estimate	s.e.	p	covariates
retail	emergency	-0.0058	0.0006	<0.0001	Yes
	\(\rho\)	0.9951	0.0005	<0.0001
	\(\psi\)	0.8739	0.0021	<0.0001
grocery	emergency	-0.0016	0.0005	0.0015	Yes
	\(\rho\)	0.9900	0.0008	<0.0001
	\(\psi\)	0.8438	0.0025	<0.0001
workplaces	emergency	-0.0037	0.0004	<0.0001	Yes
	\(\rho\)	0.9943	0.0006	<0.0001
	\(\psi\)	0.9630	0.0007	<0.0001
residential	emergency	0.0017	0.0002	<0.0001	Yes
	\(\rho\)	0.9930	0.0007	<0.0001
	\(\psi\)	0.9344	0.0011	<0.0001

Notes: The sample size is \(N = nT = 47 \times 518 = 24,346\). The estimation results for each row show the coefficients estimated using model (17). s.e. stands for cluster robust standard errors. The values corresponding to \(\rho\) and \(\psi\) represent the spatial and temporal autocorrelation coefficients, respectively

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