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Table 5 Heterogenous impacts. Labor-Market Intermediation Program, Lima 2009-2010

From: Integrating mobile phone technologies into labor-market intermediation: a multi-treatment experimental design

  Month # 1 Month # 2 Month # 3
dep. var: employment
Panel A: work experience
Intermediation −0.066 −0.073 0.052 0.072 −0.023 −0.016
  (0.076) (0.087) (0.075) (0.078) (0.075) (0.075)
Intermediation*work ever 0.165** 0.165* 0.008 −0.020 0.035 0.016
  (0.084) (0.095) (0.083) (0.089) (0.082) (0.078)
Panel B: full-time worker
Intermediation 0.011 0.046 0.033 0.024 −0.017 −0.026
  (0.037) (0.035) (0.037) (0.039) (0.036) (0.037)
Intermediation*full time 0.185*** 0.205** 0.069 0.104 0.058 0.077
  (0.071) (0.082) (0.070) (0.082) (0.069) (0.067)
Panel C: gender
Intermediation 0.052 0.058 0.025 0.043 −0.011 0.001
  (0.047) (0.043) (0.046) (0.042) (0.046) (0.046)
Intermediation*men 0.019 0.007 0.052 0.022 0.022 −0.007
  (0.065) (0.066) (0.064) (0.068) (0.063) (0.070)
Panel D: economic status
Middle −0.005 −0.020 0.014 0.013 −0.020 −0.028
  (0.074) (0.091) (0.073) (0.088) (0.072) (0.077)
High 0.029 −0.028 −0.019 −0.013 −0.107 −0.089
  (0.078) (0.087) (0.077) (0.078) (0.076) (0.074)
Intermediation*poor 0.054 0.053 0.061 0.064 −0.012 −0.019
  (0.040) (0.040) (0.039) (0.041) (0.039) (0.039)
Intermediation*middle 0.067 0.074 0.011 0.023 −0.004 0.017
  (0.077) (0.083) (0.076) (0.080) (0.076) (0.074)
Intermediation*high 0.113 0.091 0.093 0.059 0.086 0.052
  (0.083) (0.077) (0.082) (0.082) (0.081) (0.085)
p-value of F-test for equality of coeff 0.819 0.915 0.750 0.914 0.546 0.691
N 1118 1118 1118 1118 1118 1118
Covariates no yes no yes no yes
Experimental groups FE no yes no yes no yes
  1. Notes: Clustered standard errrors in parenthesis. Estimates based on a parametric cross-sectional estimator. The treatment indicator takes the value 1 for those benefiting from labor-market intermediation, 0 otherwise. Control variables are the same as those included in Table 3. ***statistically significant at 1%, **statistically significant at 5%, *statistically significant at 10%.