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Table 3 Differences-in-differences estimates (DD) only men

From: The effects of electrification on employment in rural Peru

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

 

Panel A: All men

         

PER

-0.002

0.002

0.301

0.029

0.015

-0.013**

-0.002

-0.001

-0.000

 

(0.004)

(0.005)

(0.265)

(0.031)

(0.029)

(0.006)

(0.006)

(0.007)

(0.005)

Observations

125,098

125,098

125,098

49,346

47,721

125,098

92,766

125,098

125,098

R-squared

0.065

0.491

0.331

0.335

0.306

0.097

0.220

0.331

0.462

Panel B: Excluding migrants

         

PER

0.003

0.002

0.260

0.015

-0.000

-0.015**

0.001

0.000

0.003

 

(0.004)

(0.006)

(0.303)

(0.038)

(0.036)

(0.007)

(0.006)

(0.007)

(0.005)

Observations

91,064

91,064

91,064

32,579

31,475

91,064

68,841

91,064

91,064

R-squared

0.080

0.506

0.345

0.312

0.301

0.111

0.195

0.350

0.502

  1. Note: Standard errors clustered at the district level are shown in parentheses. Each coefficient comes from 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. PER is equal to one after the program arrives to a district, and zero otherwise. All regressions control for presence of children below 5 in the household, individuals’ maternal language, age, and education, and district and year fixed effects. Panel A includes all men, and Panel B excludes migrants. Migrants are defined as those who, by the time of the survey, live in a district different from their district of birth.
  2. *, **, *** denote significance at the 10%, 5%, 1% level, respectively.