Table 10. LPM and Logit Regressions of Full Scholarship on Left Hand 2D:4D and its Square.
Moscow | ||||||||
Full Scholarship | ||||||||
Female | Male | |||||||
Explanatory Variables | LPM | Logit | LPM | Logit | LPM | Logit | LPM | Logit |
Left Hand 2D:4D | 2.126 | 10.931 | 0.184 | −11.150 | −49.158* + | −259.535* + | −46.485* + | −277.004* + |
(22.640) | (117.828) | (22.076) | (132.991) | (27.578) | (144.446) | (26.864) | (151.403) | |
Square of Left Hand 2D:4D | −1.130 | −5.816 | 0.279 | 7.531 | 25.859* + | 136.198* + | 24.594* + | 146.418* + |
(11.350) | (59.012) | (11.146) | (67.379) | (13.882) | (73.258) | (13.520) | (77.445) | |
Left Hand 2D:4D × Faculty (Law) | −0.072 | −1.482 | 0.457 | 2.986 | ||||
(1.545) | (8.750) | (1.630) | (9.372) | |||||
Left Hand 2D:4D × Faculty (Management) | 1.885 | 8.420 | 0.189 | 3.741 | ||||
(2.017) | (9.321) | (2.204) | (10.426) | |||||
Left Hand 2D:4D × Faculty (Political Science) | 0.699 + | 2.775 + | −0.578 | −4.404 | ||||
(1.668) | (11.848) | (2.415) | (16.176) | |||||
Square of Left Hand 2D:4D × Faculty (Law) | 0.138 | 1.868 | −0.442 | −2.959 | ||||
(1.544) | (8.807) | (1.639) | (9.553) | |||||
Square of Left Hand 2D:4D × Faculty (Management) | −2.070 + | −9.243 + | −0.488 + | −5.083 + | ||||
(2.011) | (9.311) | (2.230) | (10.596) | |||||
Square of Left Hand 2D:4D × Faculty (Political Science) | −0.564 | −1.875 | 0.620 | 4.642 | ||||
(1.670) | (11.933) | (2.431) | (16.503) | |||||
Constant | −0.248 | −4.028 | 0.276 | 4.657 | 23.948* | 123.967* | 22.590* | 131.488* |
(11.285) | (58.786) | (10.954) | (65.706) | (13.685) | (71.168) | (13.342) | (74.073) | |
R-squared (LPM) | 0.000 | 0.072 | 0.022 | 0.087 | ||||
Adjusted R-squared (LPM) | −0.004 | 0.055 | 0.016 | 0.064 | ||||
Pseudo R-squared (Logit) | 0.000 | 0.062 | 0.019 | 0.069 | ||||
Pseudo R-squared (Stepwise) | 0.000 | 0.056 | 0.019 | 0.068 | ||||
N | 447 | 447 | 447 | 447 | 322 | 322 | 322 | 322 |
p-value(F) (LPM, Logit) | 0.973 | 0.972 | 0.000 | 0.000 | 0.001 | 0.008 | 0.000 | 0.001 |
F-stat (LPM) | 0.028 | 3.893 | 6.960 | 4.833 | ||||
Lmin (LPM) | 0.951 | 0.945 (Economics) |
Note: The numbers in brackets are robust standard errors; * Significant at 10%, ** 5%, *** 1% in OLS, LPM or Logit regressions; + p-value equal or less than 0.10 tolerance level in backward stepwise regressions, implying that the variable ought not to be removed from the model. Lmax (Lmin) is the value of left digit ratio that maximizes (minimizes) the dependent variable, equal to -b1/(2×b2), computed only for significant values in OLS and LPM regressions.