Table 3

Descriptive statistics

Female-ownedMale-ownedDifferenceStandard errorT-statN
Log total revenues7.5638.227−0.6650.287−2.3182,393
Log net profit1.2651.796−0.5310.516−1.0302,269
Average age45.36344.4990.8640.5211.6602,752
Average work exp (same ind)9.43712.850−3.4130.491−6.9552,754
Avg educationa6.2156.0450.1700.1021.6702,747
Provides product0.5360.4930.0430.0261.6772,756
Provides service0.8080.879−0.0710.020−3.6182,756
Sole proprietorship0.5370.3620.1760.0256.8962,756
Avg hrs worked39.90342.124−2.2211.156−1.9202,749
Log total size0.4630.705−0.2420.037−6.5122,676
Number owner operators1.1611.317−0.1550.030−5.1982,756
Home based0.5360.4930.0430.0261.6772,756
Website0.4020.413−0.0110.025−0.4292,756
Email0.8760.8700.0060.0170.3492,756
Hi tech business0.0090.022−0.0140.001−10.3422,756
Medium tech business0.1070.148−0.0410.007−5.5662,756
Low tech business0.8840.8300.0540.0087.1402,756

Note(s): aRepresents the average of the highest education of the team members. As per the variable description, category 6 represents “some graduate school but no (masters) degree.” Thus, the team members of both male and female majority teams on average have completed a bachelor’s degree and completed some post-graduate coursework without earning a master’s degree

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