Table 2. Regression results for the impact of EVD on household income using spatial-lag models.
| Variables++ | Estimates | Sd. errors |
|---|---|---|
| Test predictor variable | ||
| Incidence of EVD in the community¥: yes | 0.137 | 0.113 |
| Control variables | ||
| Farm size (ha) | 0.028 | 0.029 |
| Residence: urban | -0.132 | 0.106 |
| Rural (reference category) | n.a | n.a |
| Household size | 0.004 | 0.013 |
| Gender of household head: male | 0.741*** | 0.173 |
| Female (reference category) | n.a | |
| Age of household head (years) | -0.006 | 0.004 |
| Education level of household head (years) | 0.026*** | 0.01 |
| Occupation of household head: formal employment | 0.854*** | 0.140 |
| Informal employment | 0.5378*** | 0.152 |
| Self-employment | 0.44*** | 0.145 |
| Skilled laborer | 0.365 | 0.25 |
| Farmer (reference category) | n.a | n.a |
| Constant | 7.875*** | 0.628 |
| Observations | 501 | 501 |
Note: ++The dependent variable is the logarithm of total household income
¥ This is a dummy variable that assumes 1 if a household reports that they know of a person in their or neighboring community who contracted EVD, and 0 otherwise
*p<0.1
**p<0.05
***p<0.01.