Table 3.
Correlates of job and income loss in the immediate aftermath of the pandemic.
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
| Variables | Stop working | Stop working | Income decreased | Income decreased |
| Male | −0.0947*** | −0.0908*** | −0.0263** | −0.0298** |
| (0.0114) | (0.0115) | (0.0128) | (0.0129) | |
| Age | −0.287*** | −0.302*** | −0.0493 | 0.0160 |
| (0.0824) | (0.0816) | (0.1097) | (0.1099) | |
| Age sq. | 0.160*** | 0.169*** | −0.0033 | −0.0357 |
| (0.0403) | (0.0400) | (0.0541) | (0.0540) | |
| Has school-aged child | 0.0286*** | 0.0262** | 0.0562*** | 0.0381*** |
| (0.0106) | (0.0103) | (0.0129) | (0.0128) | |
| Urban | 0.0182* | −0.000734 | 0.0118 | 0.00793 |
| (0.0110) | (0.0111) | (0.0155) | (0.0155) | |
| Secondary-educated | 0.00250 | 0.000655 | 0.00145 | 0.0105 |
| (0.0136) | (0.0141) | (0.0183) | (0.0183) | |
| Tertiary-educated | −0.0908*** | −0.0858*** | −0.0565*** | −0.0444** |
| (0.0141) | (0.0143) | (0.0193) | (0.0192) | |
| Mining/Manuf. | 0.212*** | 0.202*** | 0.123*** | 0.124*** |
| (0.0193) | (0.0200) | (0.0281) | (0.0281) | |
| Commerce | 0.166*** | 0.174*** | 0.116*** | 0.114*** |
| (0.0176) | (0.0182) | (0.0241) | (0.0241) | |
| Other services | 0.187*** | 0.178*** | 0.0638*** | 0.0592** |
| (0.0158) | (0.0168) | (0.0239) | (0.0238) | |
| Self-employed | 0.180*** | 0.182*** | ||
| (0.0149) | (0.0149) | |||
| Seasonal/temporary | 0.203 | 0.190 | ||
| (0.171) | (0.179) | |||
| Stopped working | 0.0796*** | 0.0833*** | ||
| (0.0154) | (0.0154) | |||
| Ln(GDP/capita) | 25.91*** | 19.30*** | ||
| (2.008) | (3.583) | |||
| Ln(GDP/capita Sq.) | −13.29*** | −9.73*** | ||
| (1.046) | (1.885) | |||
| Stringency | 0.242*** | −0.0072 | ||
| −0.022 | (0.09238) | |||
| Country dummies | Yes | No | Yes | No |
| Region Dummies | No | Yes | No | Yes |
| Pseudo R Sq. | 0.153 | 0.136 | 0.088 | 0.074 |
| Observations | 22,524 | 22,889 | 10,413 | 10,413 |
Notes: “Stop working” takes on 1 if respondent stopped working following the outbreak of the pandemic. “Income decreased” takes on the value 1 if household income decreased since the start of the pandemic. Results are marginal effects for discrete variables (the percentage point change in the likelihood of stop working if the discrete indicator is true) and semi-elasticities for continuous variables (dyex: the percentage point change in the likelihood of stop working for a 1 percent change in the independent variable). Data are weighted by sample weights that are re-scaled to give each country in the sample equal weight. Standard errors are robust. ***: Statistically significant at 1%; **: Statistically significant at 5%. *: Statistically significant at 10%.