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. 2022 Oct 21;161:106129. doi: 10.1016/j.worlddev.2022.106129

Table A11.

OLS regressions of employment variables with interactions with Da Nang city.

Explanatory variables Dependent variables
Unemployed (yes = 1, no = 0) Temporary layoff (yes = 1, no = 0) Having a wage job (yes = 1, no = 0) Having job with contract (yes = 1, no = 0) Having a formal job (yes = 1, no = 0) Log of number of working hours in the last 7 days Log of monthly wage (wage workers) Having wage below minimum wages (yes = 1, no = 0)
Quarter 2–4 * COVID year 0.0084*** 0.0102 −0.0138** −0.0109*** −0.0093*** 0.0181 −0.0855*** 0.0621***
(0.0015) (0.0081) (0.0056) (0.0018) (0.0017) (0.0272) (0.0150) (0.0171)
Quarter 2–4 * COVID year * Da Nang 0.0523*** 0.0673* −0.0798*** −0.0725*** −0.0633*** −0.0254 −0.1310*** 0.0456
(0.0064) (0.0371) (0.0196) (0.0158) (0.0143) (0.0154) (0.0438) (0.0295)
Quarter 2–4 −0.0055*** −0.0007*** 0.0184*** 0.0058*** 0.0044*** 0.0685*** −0.0077 −0.0244***
(0.0012) (0.0001) (0.0047) (0.0010) (0.0009) (0.0211) (0.0047) (0.0026)
COVID year −0.0004 −0.0004** 0.0793*** 0.0293*** 0.0347*** −0.0268 0.2745*** −0.0606***
(0.0012) (0.0002) (0.0087) (0.0041) (0.0041) (0.0203) (0.0080) (0.0045)
Control variables Yes Yes Yes Yes Yes Yes Yes Yes
Year fixed-effects Yes Yes Yes Yes Yes Yes Yes Yes
District fixed-effects Yes Yes Yes Yes Yes Yes Yes Yes
Constant 0.1440*** 0.0008*** 0.5930*** 0.3303*** 0.2064*** 3.2261*** 7.2429*** 0.4994***
(0.0060) (0.0002) (0.0319) (0.0430) (0.0417) (0.0287) (0.0537) (0.0254)
Observations 2,758,473 2,759,263 2,759,263 2,759,263 2,759,263 2,682,297 1,124,695 1,124,695
R-squared 0.031 0.007 0.247 0.334 0.328 0.209 0.346 0.088
Note: Control variables are the same as in Table 1, including gender, age, age squared, education levels and urban dummy.Robust standard errors in parentheses (corrected for sampling weight and clustered at the district level and year-by-quarter level)
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*** p < 0.01, ** p < 0.05, * p < 0.1.
Source: authors’ estimations from the LFSs.