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

IZA Journal of Labor & Development

Table 6 Labor-market intermediation on job matching efficiency. Labor-Market Intermediation Program, Lima 2009–2010

	Month # 1		Month # 2		Month # 3
Overall treatment	4	−10	28	11	34	16
	(28)	(27)	(26)	(24)	(26)	(24)
Type of treatment
Traditional treatement (D^T1)	31	−6	36	0	42	13
	(34)	(35)	(31)	(32)	(32)	(33)
Restricted-SMS treatment (D^T2)	−45	−44	−12	−4	5	−1
	(39)	(41)	(37)	(37)	(36)	(41)
Unrestricted-SMS treatment (D^T3)	6	5	44	33	44	30
	(34)	(34)	(32)	(30)	(32)	(28)
p-value of F-test: D^T1 = D^T2 = D^T3	0.148	0.496	0.290	0.621	0.512	0.745
Covariates	No	Yes	No	Yes	No	Yes
Experimental groups FE	No	Yes	No	Yes	No	Yes

Notes: Standard errrors in parenthesis. Estimates based on a parametric cross-sectional estimator conditional on working status. The treatment indicator takes the value 1 for those benefiting from labor-market intermediation, 0 otherwise. Control covariates are the same as those included in Table 4. Clustered standard errors by day are considered when including experimental group fixed effects in columns 2, 4, and 6.***statistically significant at 1%, **statistically significant at 5%, *statistically significant at 10%.