Table 9.3. Open in new tab Promotion...

Table 9.3.

Promotion regressions, administrative division

	(1)	(2)	(3)	(4)	(5)	(6)	(7)
Dep. Var.:Promote
Female	0.0177*	−0.0107	−0.0125	0.0558**	−0.0197	−0.0162	−0.0229
	(0.00906)	(0.0134)	(0.0131)	(0.0279)	(0.0192)	(0.0226)	(0.0155)
Age			−0.0109	0.0151	−0.0141	−0.0170	−0.0111
			(0.0107)	(0.00951)	(0.0114)	(0.0167)	(0.0107)
Age2			0.000151	−0.000150	0.000198	0.000278	0.000155
			(0.000159)	(0.000136)	(0.000168)	(0.000244)	(0.000158)
Tenure			0.0202***	−0.0172***	0.0180**	0.0300**	0.0199***
			(0.00741)	(0.00504)	(0.00780)	(0.0131)	(0.00746)
Tenure2			−0.00103	0.000871*	−0.000774	−0.00220	−0.000986
			(0.000863)	(0.000464)	(0.000902)	(0.00175)	(0.000870)
Headquarters			0.135***	−0.0769***	0.121***	0.212	0.134***
			(0.0391)	(0.0271)	(0.0414)	(0.144)	(0.0391)
Female x Coordinador				−0.0503
				(0.0348)
Female x Líder				−0.111***
				(0.0389)
Female x Gerente				−0.0583
				(0.0382)
Female x Subdirector				−0.0452
				(0.0560)
Female immediate supervisor					−0.0122
Female immediate supervisor					(0.0231)
Female x female immediate supervisor					0.0323
Female x female immediate supervisor					(0.0305)
Female superior supervisor					0.0128
Female superior supervisor					(0.0280)
Female x female superior supervisor					−0.0361
Female x female superior supervisor					(0.0348)
Number of children						−0.0268
						(0.0202)
Female x no. children						−0.00968
						(0.0512)
Married							−0.0172
							(0.0205)
Female x married							0.0344
							(0.0281)
Rank dummies	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Direction (area) dummies	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Year dummies	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Observations	3,950	2,751	2,735	2,745	2,470	1,176	2,735

	(1)	(2)	(3)	(4)	(5)	(6)	(7)
Dep. Var.:Promote
Female	0.0177*	−0.0107	−0.0125	0.0558**	−0.0197	−0.0162	−0.0229
	(0.00906)	(0.0134)	(0.0131)	(0.0279)	(0.0192)	(0.0226)	(0.0155)
Age			−0.0109	0.0151	−0.0141	−0.0170	−0.0111
			(0.0107)	(0.00951)	(0.0114)	(0.0167)	(0.0107)
Age2			0.000151	−0.000150	0.000198	0.000278	0.000155
			(0.000159)	(0.000136)	(0.000168)	(0.000244)	(0.000158)
Tenure			0.0202***	−0.0172***	0.0180**	0.0300**	0.0199***
			(0.00741)	(0.00504)	(0.00780)	(0.0131)	(0.00746)
Tenure2			−0.00103	0.000871*	−0.000774	−0.00220	−0.000986
			(0.000863)	(0.000464)	(0.000902)	(0.00175)	(0.000870)
Headquarters			0.135***	−0.0769***	0.121***	0.212	0.134***
			(0.0391)	(0.0271)	(0.0414)	(0.144)	(0.0391)
Female x Coordinador				−0.0503
				(0.0348)
Female x Líder				−0.111***
				(0.0389)
Female x Gerente				−0.0583
				(0.0382)
Female x Subdirector				−0.0452
				(0.0560)
Female immediate supervisor					−0.0122
Female immediate supervisor					(0.0231)
Female x female immediate supervisor					0.0323
Female x female immediate supervisor					(0.0305)
Female superior supervisor					0.0128
Female superior supervisor					(0.0280)
Female x female superior supervisor					−0.0361
Female x female superior supervisor					(0.0348)
Number of children						−0.0268
						(0.0202)
Female x no. children						−0.00968
						(0.0512)
Married							−0.0172
							(0.0205)
Female x married							0.0344
							(0.0281)
Rank dummies	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Direction (area) dummies	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Year dummies	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Observations	3,950	2,751	2,735	2,745	2,470	1,176	2,735

Source: Authors’ own analysis as described in Section 4.

Notes: *** p < 0.01, ** p < 0.05, * p < 0.1. Robust standard errors clustered by individual are in parentheses. Estimation is by probit. Dependent variable is promotion, which is defined as a binary variable equal to 1 if an employee moved to a higher rank the next year and 0 otherwise. Marginal effects presented at the means of continuous variables. For binary independent variables, marginal effects reflect predicted probabilities when the variable increases from 0 to 1. For more information and a more detailed description of the variables, see Section 4.2.

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