Skip to Main Content

Table 7 explores the relationship between slum residents’ income and place of work. The dependent variable is the logarithm of monthly income (mean of Rp2.5 million or $193). Column 1 includes four dummies for place of work. Column 2 adds demographic controls, including gender, years of schooling, experience, and experience squared. Column 3 adds occupation dummies and two self-employment dummies (self-employed with and without employees). Standard errors are clustered at the household level.

Table 7. 
Income and Place of Work
Dependent variable Ln(income) 
 (1) (2) (3) 
Industrial 0.55** 0.32* 0.51** 
 (0.18) (0.15) (0.17) 
Town 0.65*** 0.43*** 0.49*** 
 (0.13) (0.12) (0.12) 
Not permanent 0.31 −0.03 0.06 
 (0.18) (0.19) (0.24) 
Other 0.72* 0.48 −0.02 
 (0.30) (0.35) (0.34) 
No. of observations 248 248 248 
R-squared 0.11 0.24 0.46 
Demographics 
Occupation 
Self-employed 
Dependent variable Ln(income) 
 (1) (2) (3) 
Industrial 0.55** 0.32* 0.51** 
 (0.18) (0.15) (0.17) 
Town 0.65*** 0.43*** 0.49*** 
 (0.13) (0.12) (0.12) 
Not permanent 0.31 −0.03 0.06 
 (0.18) (0.19) (0.24) 
Other 0.72* 0.48 −0.02 
 (0.30) (0.35) (0.34) 
No. of observations 248 248 248 
R-squared 0.11 0.24 0.46 
Demographics 
Occupation 
Self-employed 

Notes: The dependent variable is the logarithm of income for the two primary income earners in each household, winsorized at the top 1%. The four key regressors are dummies for place of work, relative to working at home or in the neighborhood. Column 2 adds demographic controls (gender, years of schooling, experience, and experience squared). Column 3 controls for occupation fixed effects and two indicators for self-employed (with and without employees). Standard errors clustered by household are reported in parentheses. *p < 0.1, **p < 0.05, ***p < 0.01.

Source: Author's calculations.

Close Modal

or Create an Account

Close Modal
Close Modal