of the Covid-19 lockdown measures was an increase in poverty status across the objective and subjective measures.

**<u>Table 5: OLS Regression and Probit Analysis Results (Labor Market Outcomes)</u>**

||**Share**|**of working m**|**embers**|**Conti**<br>**Total**|**nuous Outco**<br>**hours worked**|**mes**<br>**per day**||**Log salary**||**Binary O**<br>**Employed**|**utcomes**<br>**(Model 1)**|
|---|---|---|---|---|---|---|---|---|---|---|---|
||<br>**1**|<br>**2**|<br>**3**|<br>**1**|<br>**2**|<br>**3**|**1**|<br>**2**|**3**|**Total**|**Formal**|
|**Post-Covid**|-0.028***||-0.038***|0.173**||-0.113|0.008||0.078|-0.060***|0.022**|
||(0.002)||(0.005)|(0.075)||(0.153)|(0.035)||(0.077)|(0.009)|(0.011)|
|**Post-Covid*months**||-0.008***|||0.021|||0.001||N/A|N/A|
|**elapsed (continuous)**||||||||||||
|||(0.001)|||(0.022)|||(0.011)||||
|**Post-Covid*months**|||0.002|||0.198|||-0.096|N/A|N/A|
|**elapsed (1-3)**||||||||||||
||||(0.004)|||(0.126)|||(0.061)|N/A|N/A|
|**Post-Covid*months**<br>**elapsed (>3)**|||0.016***|||0.264**|||-0.007|||
||||(0.003)|||(0.111)|||(0.057)|||
|**R-squared**|**0.186**|**0.186**|**0.187**|**0.062**|**0.061**|**0.062**|**0.176**|**0.176**|**0.176**|||
|**Observation**|**28902**|**28902**|**28902**|**8,697**|**8,697**|**8,697**|**1670**|**1670**|**1670**|**8,697**|**8,697**|
||||**N**<br>Statistical|**ote:**Robust stan<br>significance: *|dard errors in pa<br>** p < 0.01, ** p|rentheses<br>< 0.05, * p < 0.1||||||

**Share of working members estimation:** the controls include head of household and individual age, education, and marital status; polygamous household; female-headed household; dependency ratio; number of working-age individuals in household; access to water, sanitation and electricity; improved floor and roof; location (region and urban) **Other Estimations:** the controls include individual age, education, and marital status; polygamous household; female-headed household; dependency ratio; number of working-age individuals in household; access to water, sanitation, and electricity; improved floor and roof; location (region and urban)

Table 5 presents the results of the descriptive OLS and Probit analysis on the impact of Covid19 on labor market outcomes. The outcomes of interest include the share of working individuals in the household and the log of salary for an individual, across the three models using OLS. In addition, the results (marginal effects) of binary outcomes of being employed and being formally employed are highlighted for model 1, estimated by Probit estimation method. The share of working household members decreased by an average of 2.8% after the Covid-19 lockdown, with no significant recovery as the months elapsed and a 0.8% reduction in the share of working members for an additional month after the Covid lockdown measure, _ceteris paribus_ . The total individual hours worked reduced slightly by 0.2 hours per day but no significant impact was found as the months elapsed. Similarly, the estimated effect of Covid-19 on individual monthly salary shows no significance across the three models. However, the estimated impact on employment status was a significant 6 percentage points reduction in the 27