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

Table A6.

OLS regression of employment variables on month dummies.

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)
April * COVID year 0.0113*** 0.0830*** −0.0227*** −0.0089** −0.0057 −0.0662*** −0.1228*** 0.0571***
(0.0022) (0.0016) (0.0048) (0.0039) (0.0039) (0.0200) (0.0093) (0.0051)
May * COVID year 0.0155*** 0.0082*** −0.0260*** −0.0196*** −0.0164*** 0.0189 −0.1620*** 0.0940***
(0.0021) (0.0007) (0.0053) (0.0046) (0.0038) (0.0227) (0.0099) (0.0090)
June * COVID year 0.0025 0.0005** −0.0028 −0.0011 −0.0008 0.0207 −0.0469*** 0.0275***
(0.0016) (0.0002) (0.0044) (0.0044) (0.0040) (0.0211) (0.0063) (0.0028)
Jul * COVID year 0.0077*** 0.0005*** −0.0094* −0.0108** −0.0088** 0.0263 −0.0737*** 0.0248***
(0.0017) (0.0002) (0.0052) (0.0045) (0.0040) (0.0203) (0.0088) (0.0017)
August * COVID year 0.0074*** 0.0039*** −0.0176*** −0.0179*** −0.0159*** 0.0207 −0.0693*** 0.0277***
(0.0020) (0.0011) (0.0047) (0.0047) (0.0045) (0.0212) (0.0090) (0.0037)
September * COVID year 0.0100*** 0.0040*** −0.0114** −0.0137** −0.0125** 0.0315 −0.0729*** 0.0314***
(0.0024) (0.0008) (0.0045) (0.0054) (0.0053) (0.0214) (0.0069) (0.0026)
October * COVID year 0.0109*** 0.0008 −0.0189*** −0.0141*** −0.0127*** 0.0288 −0.0341*** 0.0609***
(0.0022) (0.0006) (0.0046) (0.0030) (0.0028) (0.0211) (0.0068) (0.0032)
November * COVID year 0.0081*** 0.0001 −0.0210*** −0.0167*** −0.0139*** 0.0246 −0.0250** 0.0552***
(0.0020) (0.0003) (0.0043) (0.0035) (0.0035) (0.0212) (0.0097) (0.0029)
December * COVID year 0.0080*** 0.0002 −0.0038 −0.0032 −0.0036 0.0404* −0.1796*** 0.1807***
(0.0019) (0.0002) (0.0041) (0.0028) (0.0032) (0.0218) (0.0234) (0.0160)
April −0.0031** −0.0006*** 0.0174*** 0.0022 0.0010 0.0691*** −0.0336*** −0.0076**
(0.0012) (0.0002) (0.0046) (0.0027) (0.0026) (0.0208) (0.0073) (0.0032)
May −0.0034*** −0.0006*** 0.0154*** 0.0052** 0.0046** 0.0063 −0.0197*** −0.0116***
(0.0011) (0.0002) (0.0054) (0.0025) (0.0022) (0.0239) (0.0056) (0.0036)
June −0.0053*** −0.0006*** 0.0085 0.0021 0.0006 0.0838*** −0.0113* −0.0215***
(0.0014) (0.0001) (0.0052) (0.0030) (0.0027) (0.0218) (0.0059) (0.0017)
Jul −0.0049*** −0.0009*** 0.0101** 0.0005 −0.0007 0.0812*** −0.0094 −0.0227***
(0.0013) (0.0001) (0.0045) (0.0019) (0.0021) (0.0214) (0.0068) (0.0018)
August −0.0042*** −0.0006*** 0.0161*** 0.0047* 0.0034 0.0626*** −0.0051 −0.0286***
(0.0015) (0.0001) (0.0044) (0.0023) (0.0021) (0.0220) (0.0062) (0.0024)
September −0.0061*** −0.0006** 0.0138** 0.0061** 0.0047* 0.0501** 0.0063 −0.0275***
(0.0016) (0.0002) (0.0051) (0.0025) (0.0024) (0.0212) (0.0063) (0.0021)
October −0.0079*** −0.0008*** 0.0236*** 0.0084*** 0.0071*** 0.0895*** −0.0059 −0.0279***
(0.0014) (0.0001) (0.0045) (0.0012) (0.0011) (0.0221) (0.0062) (0.0020)
November −0.0070*** −0.0007*** 0.0298*** 0.0129*** 0.0116*** 0.0865*** 0.0018 −0.0325***
(0.0018) (0.0001) (0.0050) (0.0021) (0.0023) (0.0216) (0.0066) (0.0022)
December −0.0075*** −0.0009*** 0.0309*** 0.0098*** 0.0075*** 0.0868*** 0.0071 −0.0359***
(0.0013) (0.0001) (0.0052) (0.0021) (0.0019) (0.0224) (0.0076) (0.0020)
Quarter 1 References
COVID year −0.0004 −0.0004** 0.0793*** 0.0293*** 0.0347*** −0.0267 0.2746*** −0.0606***
(0.0010) (0.0002) (0.0095) (0.0071) (0.0070) (0.0199) (0.0072) (0.0050)
Control variables Yes Yes Yes Yes Yes Yes Yes Yes
Year fixed-effects Yes Yes Yes Yes Yes Yes Yes Yes
Province fixed-effects Yes Yes Yes Yes Yes Yes Yes Yes
Constant 0.1439*** 0.0007** 0.5936*** 0.3306*** 0.2066*** 3.2267*** 7.2433*** 0.4992***
(0.0086) (0.0003) (0.0456) (0.0523) (0.0486) (0.0370) (0.0600) (0.0306)
Observations 2,759,355 2,759,355 2,759,355 2,759,355 2,759,355 2,682,379 1,124,748 1,124,748
R-squared 0.031 0.026 0.248 0.334 0.328 0.212 0.347 0.090
Note: 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.