Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.E.	T-STAT H0: parameter = 0	2-tail p-value	1-tail p-value
Trade[t]	-6.389586	3.249325	-1.966435	0.053958	0.026979
Constant	743.818601	60.923831	12.208993	0	0
t^1	-2.610408	0.248909	-10.487404	0	0
M1[t]	-10.003476	11.259365	-0.888458	0.377902	0.188951
M2[t]	-10.270748	11.901128	-0.863006	0.391629	0.195814
M3[t]	-5.301534	11.847912	-0.447466	0.656177	0.328089
M4[t]	25.696776	12.493981	2.056732	0.044142	0.022071
M5[t]	34.215811	12.157602	2.814355	0.006632	0.003316
M6[t]	19.725046	14.042598	1.404658	0.165366	0.082683
M7[t]	18.292074	11.708518	1.562288	0.123569	0.061784
M8[t]	-19.690586	12.310286	-1.599523	0.115046	0.057523
M9[t]	-28.759851	11.727142	-2.452418	0.017167	0.008583
M10[t]	-16.799183	11.694561	-1.436495	0.156143	0.078072
M11[t]	-1.167641	13.352737	-0.087446	0.930613	0.465307
Variable	Elasticity	S.E.*	T-STAT H0: |elast| = 1	2-tail p-value	1-tail p-value
%Trade[t]	-0.191198	0.097231	-8.318365	0	0
%Constant	1.36814	0.11206	3.285207	0.001718	0.000859
%t^1	-0.177588	0.016933	-48.567373	0	0
%M1[t]	-0.001764	0.001986	-502.666961	0	0
%M2[t]	-0.001553	0.001799	-554.938638	0	0
%M3[t]	-0.000801	0.001791	-557.850615	0	0
%M4[t]	0.003885	0.001889	-527.371538	0	0
%M5[t]	0.005173	0.001838	-541.262244	0	0
%M6[t]	0.002982	0.002123	-469.638285	0	0
%M7[t]	0.002765	0.00177	-563.382555	0	0
%M8[t]	-0.002977	0.001861	-535.728923	0	0
%M9[t]	-0.004348	0.001773	-561.595196	0	0
%M10[t]	-0.00254	0.001768	-564.182549	0	0
%M11[t]	-0.000177	0.002019	-495.291635	0	0
Variable	Stand. Coeff.	S.E.*	T-STAT H0: coeff = 0	2-tail p-value	1-tail p-value
S-Trade[t]	-0.226747	0.115309	-1.966435	0.053958	0.026979
S-Constant	0	0	0	1	0.5
S-t^1	-1.00988	0.096295	-10.487404	0	0
S-M1[t]	-0.054017	0.060799	-0.888458	0.377902	0.188951
S-M2[t]	-0.051734	0.059946	-0.863006	0.391629	0.195814
S-M3[t]	-0.026704	0.059678	-0.447466	0.656177	0.328089
S-M4[t]	0.129435	0.062932	2.056732	0.044142	0.022071
S-M5[t]	0.172345	0.061238	2.814355	0.006632	0.003316
S-M6[t]	0.099355	0.070733	1.404658	0.165366	0.082683
S-M7[t]	0.092137	0.058976	1.562288	0.123569	0.061784
S-M8[t]	-0.099181	0.062007	-1.599523	0.115046	0.057523
S-M9[t]	-0.144863	0.05907	-2.452418	0.017167	0.008583
S-M10[t]	-0.084617	0.058905	-1.436495	0.156143	0.078072
S-M11[t]	-0.005881	0.067258	-0.087446	0.930613	0.465307
*Note	computed against deterministic endogenous series
Variable	Partial Correlation
Trade[t]	-0.24801
Constant	0.84642
t^1	-0.806758
M1[t]	-0.114901
M2[t]	-0.111651
M3[t]	-0.058156
M4[t]	0.258652
M5[t]	0.344032
M6[t]	0.179888
M7[t]	0.199312
M8[t]	-0.203867
M9[t]	-0.304151
M10[t]	-0.183829
M11[t]	-0.011384
Critical Values (alpha = 5%)
1-tail CV at 5%	1.68
2-tail CV at 5%	2

Multiple Linear Regression - Regression Statistics
Multiple R	0.94316
R-squared	0.88955
Adjusted R-squared	0.865214
F-TEST	36.552312
Observations	73
Degrees of Freedom	59
Multiple Linear Regression - Residual Statistics
Standard Error	20.157477
Sum Squared Errors	23973.108396
Log Likelihood	-315.071855
Durbin-Watson	0.245369
Von Neumann Ratio	0.248777
# e[t] > 0	37
# e[t] < 0	36
# Runs	16
Stand. Normal Runs Statistic	-5.067437

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error	484.248997
Akaike (1973) Log Information Criterion	6.17779
Akaike (1974) Information Criterion	481.925819
Schwarz (1978) Log Criterion	6.617056
Schwarz (1978) Criterion	747.7408
Craven-Wahba (1979) Generalized Cross Validation	502.739705
Hannan-Quinn (1979) Criterion	574.12398
Rice (1984) Criterion	532.735742
Shibata (1981) Criterion	454.359908

Multiple Linear Regression - Analysis of Variance
ANOVA	DF	Sum of Squares	Mean Square
Regression	13	193077.001193	14852.077015
Residual	59	23973.108396	406.323871
Total	72	217050.109589	3014.5848554033
F-TEST	36.552312
p-value	0

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