	(1)	(2)	(3)	(4)	(5)	(6)
VARIABLES	mon_emi	mon_emi	training	training	top_man_fem	top_man_fem
						
0b.man_non#0b.web_soc	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
	(0.0000)	(0.0000)	(0.0000)	(0.0000)	(0.0000)	(0.0000)
0b.man_non#1.web_soc	0.0530	0.0420***	0.1180***	0.1176***	0.0234	-0.0024
	(0.0483)	(0.0092)	(0.0274)	(0.0107)	(0.0332)	(0.0128)
1.man_non#0b.web_soc	0.0455	0.1022**	0.0198	0.0008	-0.0411	-0.0440**
	(0.0940)	(0.0456)	(0.0464)	(0.0108)	(0.0267)	(0.0222)
1.man_non#1.web_soc	0.1630**	0.1358***	0.1132**	0.1301***	0.0263	-0.0550***
	(0.0765)	(0.0278)	(0.0505)	(0.0156)	(0.0413)	(0.0155)
large	0.0453	0.2465***	0.2068***	0.1740***	-0.0654***	-0.0171
	(0.0426)	(0.0305)	(0.0391)	(0.0136)	(0.0234)	(0.0161)
fin_ins	-0.0263	0.0201*	0.0828**	0.0723***	-0.0476	-0.0170*
	(0.0320)	(0.0118)	(0.0381)	(0.0108)	(0.0309)	(0.0091)
perf1	0.0018	0.0001	0.0009	0.0007***	-0.0007*	-0.0004*
	(0.0014)	(0.0003)	(0.0006)	(0.0002)	(0.0004)	(0.0002)
age	0.0009	0.0003	-0.0012*	0.0001	0.0012**	-0.0006**
	(0.0014)	(0.0005)	(0.0007)	(0.0003)	(0.0005)	(0.0003)
Constant	0.0501*	0.0340***	0.2097***	0.2064***	0.1284***	0.1936***
	(0.0294)	(0.0110)	(0.0283)	(0.0095)	(0.0212)	(0.0144)
						
Observations	1,986	18,654	16,956	121,752	17,224	118,514
R-squared	0.1302	0.1022	0.2829	0.3115	0.1556	0.0680
Year*Country FE	Yes	Yes	Yes	Yes	Yes	Yes
Robust standard errors in parentheses						
*** p<0.01, ** p<0.05, * p<0.1						
