Skip to main content
. 2022 Oct 21;161:106129. doi: 10.1016/j.worlddev.2022.106129

Table A7.

OLS regression of additional employment variables on month dummies.

Explanatory variables Dependent variables
Having job with long-term contract (yes = 1, no = 0) Working for firms and organizations (yes = 1, no = 0) Having a secondary job (yes = 1, no = 0) Log of number of working hours of the main job (last 7 days) Log of monthly wages of the main job Log of hourly wages of the main job Log of hourly wages of all jobs
April * COVID year −0.0076** −0.0078* 0.0053 −0.0586*** −0.1211*** −0.0466** −0.0430*
(0.0033) (0.0043) (0.0038) (0.0194) (0.0095) (0.0217) (0.0221)
May * COVID year −0.0189*** −0.0147*** 0.0047 0.0290 −0.1641*** −0.2293*** −0.2256***
(0.0040) (0.0036) (0.0029) (0.0219) (0.0097) (0.0334) (0.0343)
June * COVID year −0.0031 −0.0005 0.0051 0.0342 −0.0472*** −0.0938*** −0.0878***
(0.0040) (0.0041) (0.0040) (0.0205) (0.0066) (0.0208) (0.0210)
Jul * COVID year −0.0125*** −0.0097* 0.0050 0.0409** −0.0720*** −0.1221*** −0.1112***
(0.0040) (0.0048) (0.0030) (0.0195) (0.0084) (0.0222) (0.0231)
August * COVID year −0.0190*** −0.0146*** 0.0002 0.0295 −0.0682*** −0.0947*** −0.0863***
(0.0055) (0.0037) (0.0027) (0.0204) (0.0093) (0.0232) (0.0242)
September * COVID year −0.0154** −0.0106** 0.0021 0.0468** −0.0737*** −0.1343*** −0.1286***
(0.0059) (0.0046) (0.0024) (0.0205) (0.0065) (0.0231) (0.0238)
October * COVID year −0.0145*** −0.0147*** −0.0264*** 0.0400* −0.0377*** −0.0811*** −0.0793***
(0.0037) (0.0036) (0.0044) (0.0205) (0.0058) (0.0223) (0.0228)
November * COVID year −0.0144*** −0.0158*** −0.0362*** 0.0291 −0.0248** −0.0657** −0.0619**
(0.0039) (0.0028) (0.0064) (0.0207) (0.0098) (0.0252) (0.0258)
December * COVID year −0.0038 0.0007 −0.0149*** 0.0509** −0.1779*** −0.2318*** −0.2253***
(0.0028) (0.0027) (0.0028) (0.0211) (0.0230) (0.0342) (0.0349)
April 0.0001 0.0033 −0.0001 0.0686*** −0.0350*** −0.1053*** −0.1079***
(0.0025) (0.0028) (0.0025) (0.0200) (0.0077) (0.0242) (0.0247)
May 0.0035 0.0040 −0.0057** 0.0041 −0.0187*** 0.0351 0.0346
(0.0021) (0.0024) (0.0023) (0.0231) (0.0060) (0.0319) (0.0328)
June 0.0022 0.0029 −0.0036 0.0821*** −0.0121* −0.0913*** −0.0913***
(0.0029) (0.0030) (0.0027) (0.0212) (0.0062) (0.0238) (0.0241)
Jul −0.0008 0.0011 −0.0018 0.0788*** −0.0091 −0.0885*** −0.0912***
(0.0017) (0.0017) (0.0032) (0.0206) (0.0072) (0.0235) (0.0241)
August 0.0028 0.0043* −0.0032 0.0607*** −0.0045 −0.0747*** −0.0780***
(0.0019) (0.0022) (0.0026) (0.0213) (0.0065) (0.0236) (0.0242)
September 0.0024 0.0041* −0.0071*** 0.0437** 0.0086 −0.0211 −0.0218
(0.0019) (0.0021) (0.0024) (0.0206) (0.0068) (0.0217) (0.0225)
October 0.0056*** 0.0091*** −0.0020 0.0859*** −0.0053 −0.0979*** −0.0992***
(0.0015) (0.0011) (0.0026) (0.0214) (0.0065) (0.0240) (0.0245)
November 0.0107*** 0.0119*** −0.0084*** 0.0791*** 0.0039 −0.0864*** −0.0891***
(0.0021) (0.0018) (0.0024) (0.0212) (0.0069) (0.0237) (0.0242)
December 0.0074*** 0.0086*** −0.0107*** 0.0763*** 0.0102 −0.0803*** −0.0830***
(0.0024) (0.0020) (0.0026) (0.0217) (0.0081) (0.0254) (0.0261)
Quarter 1 Reference
COVID year 0.0258*** 0.0304*** −0.0232*** −0.0510** 0.2834*** 0.3223*** 0.3213***
(0.0064) (0.0060) (0.0046) (0.0184) (0.0071) (0.0229) (0.0231)
Control variables Yes Yes Yes Yes Yes Yes Yes
Year fixed-effects Yes Yes Yes Yes Yes Yes Yes
Province fixed-effects Yes Yes Yes Yes Yes Yes Yes
Constant 0.2175*** 0.3479*** −0.1885*** 3.1907*** 7.2653*** 2.1343*** 2.1245***
(0.0489) (0.0511) (0.0382) (0.0452) (0.0571) (0.0704) (0.0688)
Observations 2,759,263 2,759,263 2,759,263 2,685,240 1,124,495 1,110,806 1,109,228
R-squared 0.318 0.326 0.154 0.167 0.353 0.345 0.343
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).
*** p < 0.01, ** p < 0.05, * p < 0.1.
Source: authors’ estimations from the LFSs.