	(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	0.0761	0.0383***	0.0415*	0.1231***	-0.0150	0.0007
	(0.0496)	(0.0105)	(0.0243)	(0.0104)	(0.0243)	(0.0112)
1.man_non#0b.web_soc	0.4673***	0.0810*	-0.0507	0.0149	0.0040	-0.0533**
	(0.1609)	(0.0431)	(0.0350)	(0.0116)	(0.0480)	(0.0226)
1.man_non#1.web_soc	0.1012	0.1338***	0.0498	0.1338***	0.0059	-0.0536***
	(0.0759)	(0.0286)	(0.0447)	(0.0145)	(0.0378)	(0.0161)
large	0.2206***	0.2235***	0.2571***	0.1756***	0.0835**	-0.0293*
	(0.0575)	(0.0308)	(0.0497)	(0.0129)	(0.0418)	(0.0156)
fin_ins	-0.0844**	0.0099	0.1313***	0.0707***	-0.0369	-0.0236**
	(0.0359)	(0.0108)	(0.0369)	(0.0115)	(0.0273)	(0.0100)
perf1	0.0004	0.0004	0.0019***	0.0002	-0.0001	-0.0002
	(0.0006)	(0.0003)	(0.0005)	(0.0002)	(0.0005)	(0.0002)
age	0.0029*	0.0002	-0.0001	-0.0002	-0.0017**	-0.0002
	(0.0015)	(0.0004)	(0.0008)	(0.0003)	(0.0007)	(0.0003)
Constant	0.0275	0.0452***	0.2277***	0.2032***	0.2063***	0.1866***
	(0.0530)	(0.0108)	(0.0212)	(0.0097)	(0.0248)	(0.0129)
						
Observations	1,043	19,531	8,631	131,233	8,595	127,898
R-squared	0.3457	0.0881	0.4119	0.3085	0.1664	0.0696
Year*Country FE	Yes	Yes	Yes	Yes	Yes	Yes
Robust standard errors in parentheses						
*** p<0.01, ** p<0.05, * p<0.1						
