Table 4

Robustness check for making investments from student loan

Coeffp-valueCoeffp-valueCoeffp-valueCoeffp-valueCoeffp-valueCoeffp-value
Age−0.0010.9460.0010.9300.0050.7710.0040.7900.0040.7840.0050.749
Sex (female = 1)−0.1050.029**−0.1020.043**−0.0980.053*−0.0960.065*−0.0950.067*−0.1070.034**
BACKGROUND0.0850.2790.0650.4280.0640.4360.0650.4350.0630.4460.0870.279
INDEPENDENCE  0.0540.6140.0660.5360.0620.5710.0630.5650.0660.532
Budget surplus  0.0000.4260.0000.3350.0000.3230.0000.3150.0000.198
ASPIRATION  0.0780.4890.0590.6050.0530.6430.0450.701−0.0460.685
PERFORMANCE    0.0330.3430.0310.3850.0320.3640.0490.159
Talent management program    0.0330.5470.0370.5030.0350.533−0.0020.966
Patience      0.0180.9390.0210.9310.0140.952
Risk tolerance      0.0000.4120.0000.3980.0000.392
No present bias      −0.0060.9760.0030.9860.0480.802
ATTITUDE        −0.0700.5060.0010.976
Knowledge: loan          −0.0790.446
Knowledge: savings          0.3310.000
Knowledge: arbitrage          −0.0430.676

Note(s): ***p < 0.01; **p < 0.05; *p < 0.1

In the linear regression models, the dependent variable is whether a student took out student loans for investment purposes

Source(s): Authors’ own work

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