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

Dammert, Ana C; Galdo, Jose; Galdo, Virgilio

doi:10.1186/s40175-015-0033-7

IZA Journal of Labor & Development

Table 2 Summary statistics by treatment status. Digital Labor-market Intermediation Program, Lima 2009-2010

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

	Treatment groups
	Non-digital T1	Digital T2	Digital T3	Control	p-value of t -test	p-value of F test
Baseline variables	D ^T1	D ^T2	D ^T3	D ^c	Treatment = Control	[D ^T1 *= D* ^T2 *= D* ^T3 *= D* _C ]
A. Socio-demographic
Sex (1 = male)	0.57	0.52	0.55	0.54	0.62	0.65
Age	27.04	25.33	26.27	25.55	0.01	0.01
Years of schooling	12.15	12.09	12.06	11.94	0.36	0.36
Single	0.71	0.76	0.73	0.73	0.82	0.46
Have children	0.32	0.26	0.32	0.26	0.14	0.22
Number of children	0.55	0.39	0.55	0.45	0.24	0.12
Migrant	0.27	0.29	0.26	0.25	0.48	0.75
Access to flush toilet	0.93	0.91	0.93	0.95	0.11	0.29
Access to safe water	0.94	0.94	0.93	0.94	0.40	0.39
Poverty index	0.06	−0.01	−0.02	0.03	0.68	0.64
B. Labor-market experience
Worked ever	0.81	0.80	0.82	0.82	0.91	0.97
Discouraged worker	0.11	0.14	0.13	0.13	0.85	0.85
Unemployment duration (days)	75	105	104	99	0.60	0.22
Characteristics of job at baseline
Monthly income (in soles)	604	688	689	650	0.81	0.24
Had formal contract	0.35	0.37	0.31	0.33	0.84	0.79
White-collar worker	0.55	0.44	0.50	0.48	0.53	0.42
Had health insurance	0.26	0.24	0.19	0.20	0.18	0.50
Had pension plan	0.26	0.23	0.23	0.20	0.32	0.68
Characteristics of last job
Monthly income (in soles)	659	664	691	729	0.28	0.70
Had formal contract	0.49	0.60	0.67	0.54	0.28	0.01
White-collar worker	0.65	0.76	0.69	0.74	0.25	0.20
Had health insurance	0.28	0.37	0.35	0.30	0.46	0.39
Had pension plan	0.29	0.38	0.35	0.32	0.70	0.49
C. Digital technologies and job search
Number of search methods	1.69	1.56	1.68	1.67	0.90	0.72
Number of hours-week job search	5.68	5.18	5.48	5.68	0.63	0.79
Number of hours-week in public channels	0.77	1.01	0.80	0.82	0.90	0.65
Number of hours-week in private channels	4.90	4.01	4.67	4.84	0.52	0.28
Use cell phone	0.95	0.95	0.96	0.97	0.14	0.43
Use cell phone for job search	0.51	0.49	0.49	0.46	0.37	0.79
Cell phone to contact prospective employers	0.55	0.57	0.57	0.60	0.39	0.83
Cell phone to contact public LMIs	0.09	0.11	0.13	0.12	0.74	0.65
Cell phone to contact private LMIs	0.27	0.28	0.25	0.24	0.47	0.85
Use internet	0.83	0.85	0.84	0.84	0.98	0.86
Use internet for job search	0.60	0.62	0.61	0.62	0.63	0.91
Access internet from home	0.24	0.29	0.24	0.20	0.12	0.30
Access internet from internet cafes	0.74	0.70	0.74	0.79	0.13	0.35
Access internet from work	0.02	0.01	0.01	0.01	0.83	0.62
N	345	188	303	354

Notes: The test of equal means for the experimental sample is based on a regression with treatment indicators on the right-hand side. D ^T1 refers to the traditional treatment group, D ^T2 to the restricted-SMS treatment group, D ^T3 to the unrestricted-SMS treatment group, and D ^c to the control group. Labor-market characteristics of job at baseline and last job are calculated conditional on employment status.

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