Table A36.

Effects of the COVID-19 pandemic on different groups of workers by regions.

Explanatory variables	Areas and regions
	Rural	Urban	Red River Delta	Northern Mountain	Central Coast	Highland	Southeast	Mekong River Delta
Effects on workers below minimum wages	−0.1138***	−0.1759***	−0.0799***	−0.0681***	−0.0950***	−0.0246	−0.1176***	−0.0644***
	(0.0289)	(0.0584)	(0.0214)	(0.0095)	(0.0144)	(0.0228)	(0.0149)	(0.0076)
Effects on workers not below minimum wages	0.0164	−0.0257	0.0179	0.0103	0.0206	−0.0086	−0.0349	−0.0007
	(0.0238)	(0.0158)	(0.0230)	(0.0112)	(0.0144)	(0.0108)	(0.0227)	(0.0218)
Effects on workers in wage quintile 1	−0.1464**	−0.2415***	−0.1960**	−0.2438***	−0.2558***	−0.0040	−0.1025	−0.1320*
	(0.0655)	(0.0743)	(0.0934)	(0.0531)	(0.0460)	(0.0577)	(0.0938)	(0.0712)
Effects on workers in wage quintiles 2 to 5	−0.0066	−0.0309*	0.0040	−0.0049	−0.0036	−0.0295***	−0.0486**	−0.0196
	(0.0208)	(0.0157)	(0.0232)	(0.0204)	(0.0077)	(0.0086)	(0.0212)	(0.0214)
Note: Control variables are the same as in Table 1, including gender, age, age squared, education levels and urban dummy, district and year fixed-effects.Robust standard errors in parentheses (corrected for sampling weight and clustered at the district level and year-by-quarter level) . *** p < 0.01, ** p < 0.05, * p < 0.1. Source: authors’ estimations from the LFSs.