The effects of electrification on employment in rural Peru

IZA Journal of Labor & Development

Table 5 Panel data estimates (FE) only men

Dependent	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)
variable:	Participation	Employment	Hours	Log	Log hourly	Has	Wage earner	Works in	Self-employed
			of work	earnings	wage	two jobs		agriculture
PER	-0.007	0.005	2.615***	-0.075	-0.090	-0.059***	-0.02	0.052***	0.017
	(0.013)	(0.013)	(0.885)	(0.074)	(0.081)	(0.020)	(0.017)	(0.019)	(0.014)
Observations	6,668	6,668	6,668	3,572	3,438	6,668	6,668	6,668	6,668
R-squared	0.0007	0.0018	0.0036	0.0229	0.0353	0.0043	0.0023	0.0046	0.0006
N. of individuals	2,052	2,052	2,052	1,410	1,402	2,052	2,052	2,052	2,052

Note: Standard errors clustered at the individual level are shown in parentheses. Each column is a separate regression. All dependent variables are binary except for hours, log (weekly) earnings, and hourly wages. Individuals who do not work have zero (weekly) hours of work. Earnings and wages are only computed for those with positive values of income. All regressions control for year fixed effects. PER is equal to one after the program arrives to a district, and zero otherwise. In this table, we restrict the sample to only men.
*, **, *** denote significance at the 10%, 5%, 1% level, respectively.