Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.E.	T-STAT H0: parameter = 0	2-tail p-value	1-tail p-value
Mannen[t]	0.557421	0.007047	79.101903	0	0
Vrouwen[t]	0.433448	0.007998	54.194902	0	0
Constant	0.055349	0.057343	0.96522	0.337418	0.168709
t^1	0.000484	0.000197	2.452252	0.01643	0.008215
M1[t]	0.00168	0.019251	0.087261	0.930688	0.465344
M2[t]	-0.017491	0.019156	-0.913087	0.36401	0.182005
M3[t]	-0.014509	0.01914	-0.758037	0.450713	0.225357
M4[t]	-0.005003	0.01944	-0.257367	0.797573	0.398787
M5[t]	-0.008532	0.019585	-0.435639	0.664302	0.332151
M6[t]	-0.01175	0.019611	-0.599139	0.550816	0.275408
M7[t]	-0.021359	0.019937	-1.071309	0.287334	0.143667
M8[t]	0.010215	0.020234	0.50482	0.615108	0.307554
M9[t]	-0.017317	0.019915	-0.869527	0.387227	0.193613
M10[t]	-0.010078	0.019906	-0.506276	0.614091	0.307046
M11[t]	0.017378	0.019759	0.879483	0.381841	0.19092
Variable	Elasticity	S.E.*	T-STAT H0: |elast| = 1	2-tail p-value	1-tail p-value
%Mannen[t]	0.495924	0.006269	-80.402253	0	0
%Vrouwen[t]	0.494862	0.009131	-55.320314	0	0
%Constant	0.007143	0.007401	-134.158294	0	0
%t^1	0.002934	0.001196	-833.487762	0	0
%M1[t]	1.9E-05	0.000214	-4678.927294	0	0
%M2[t]	-0.000194	0.000213	-4701.28323	0	0
%M3[t]	-0.000161	0.000212	-4705.439378	0	0
%M4[t]	-5.6E-05	0.000216	-4633.120721	0	0
%M5[t]	-9.5E-05	0.000217	-4598.709307	0	0
%M6[t]	-0.00013	0.000218	-4592.491487	0	0
%M7[t]	-0.000237	0.000221	-4516.820747	0	0
%M8[t]	0.000113	0.000225	-4451.128517	0	0
%M9[t]	-0.000192	0.000221	-4522.074287	0	0
%M10[t]	-9.8E-05	0.000193	-5170.821834	0	0
%M11[t]	0.000169	0.000192	-5209.102703	0	0
Variable	Stand. Coeff.	S.E.*	T-STAT H0: coeff = 0	2-tail p-value	1-tail p-value
S-Mannen[t]	0.621998	0.007863	79.101903	0	0
S-Vrouwen[t]	0.461763	0.00852	54.194902	0	0
S-Constant	0	0	0	1	0.5
S-t^1	0.016568	0.006756	2.452252	0.01643	0.008215
S-M1[t]	0.000601	0.006882	0.087261	0.930688	0.465344
S-M2[t]	-0.006253	0.006848	-0.913087	0.36401	0.182005
S-M3[t]	-0.005187	0.006842	-0.758037	0.450713	0.225357
S-M4[t]	-0.001789	0.00695	-0.257367	0.797573	0.398787
S-M5[t]	-0.00305	0.007002	-0.435639	0.664302	0.332151
S-M6[t]	-0.0042	0.007011	-0.599139	0.550816	0.275408
S-M7[t]	-0.007636	0.007127	-1.071309	0.287334	0.143667
S-M8[t]	0.003652	0.007234	0.50482	0.615108	0.307554
S-M9[t]	-0.006191	0.00712	-0.869527	0.387227	0.193613
S-M10[t]	-0.00339	0.006696	-0.506276	0.614091	0.307046
S-M11[t]	0.005845	0.006646	0.879483	0.381841	0.19092
*Note	computed against deterministic endogenous series
Variable	Partial Correlation
Mannen[t]	0.993825
Vrouwen[t]	0.98698
Constant	0.108643
t^1	0.267541
M1[t]	0.00988
M2[t]	-0.102839
M3[t]	-0.085516
M4[t]	-0.029129
M5[t]	-0.049266
M6[t]	-0.067684
M7[t]	-0.120419
M8[t]	0.057066
M9[t]	-0.097981
M10[t]	-0.05723
M11[t]	0.099092
Critical Values (alpha = 5%)
1-tail CV at 5%	1.65
2-tail CV at 5%	1.96

Multiple Linear Regression - Regression Statistics
Multiple R	0.999069
R-squared	0.998139
Adjusted R-squared	0.997804
F-TEST	2987.442885
Observations	93
Degrees of Freedom	78
Multiple Linear Regression - Residual Statistics
Standard Error	0.036951
Sum Squared Errors	0.106499
Log Likelihood	182.946765
Durbin-Watson	1.982824
Von Neumann Ratio	2.004376
# e[t] > 0	45
# e[t] < 0	48
# Runs	43
Stand. Normal Runs Statistic	-0.929258

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error	0.001586
Akaike (1973) Log Information Criterion	-6.449635
Akaike (1974) Information Criterion	0.001581
Schwarz (1978) Log Criterion	-6.041152
Schwarz (1978) Criterion	0.002379
Craven-Wahba (1979) Generalized Cross Validation	0.001628
Hannan-Quinn (1979) Criterion	0.001865
Rice (1984) Criterion	0.00169
Shibata (1981) Criterion	0.001515

Multiple Linear Regression - Analysis of Variance
ANOVA	DF	Sum of Squares	Mean Square
Regression	14	57.105759	4.078983
Residual	78	0.106499	0.001365
Total	92	57.212258	0.62187237026648
F-TEST	2987.442885
p-value	0

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