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werkloosheid

R Software Module: esteq.wasp (opens new window with default values)
Title produced by software: Estimate Equation
Date of computation: Sun, 25 Nov 2007 13:46:43 -0700
 
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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2007/Nov/25/t1196023095a3jjl45tfqiajx0.htm/, Retrieved Sun, 25 Nov 2007 21:38:15 +0100
 
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Dataseries X:
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7.4 6.4 8.7 7.2 6.3 8.5 7 6 8.2 6.6 5.3 8.3 6.4 5.2 8 6.4 5.1 8.1 6.8 5.4 8.7 7.3 5.8 9.3 7 5.6 8.9 7 5.6 8.8 6.7 5.4 8.4 6.7 5.4 8.4 6.3 5.5 7.3 6.2 5.5 7.2 6 5.3 7 6.3 5.7 7 6.2 5.6 6.9 6.1 5.5 6.9 6.2 5.6 7.1 6.6 5.9 7.5 6.6 6 7.4 7.8 7 8.9 7.4 6.6 8.3 7.4 6.6 8.3 7.5 6.3 9 7.4 6.3 8.9 7.4 6.3 8.8 7 6.3 7.8 6.9 6.2 7.8 6.9 6.2 7.8 7.6 6.3 9.2 7.7 6.4 9.3 7.6 6.4 9.2 8.2 7.8 8.6 8 7.7 8.5 8.1 7.7 8.5 8.3 7.7 9 8.2 7.7 9 8.1 7.6 8.8 7.7 7.5 8 7.6 7.4 7.9 7.7 7.4 8.1 8.2 7.5 9.3 8.4 7.6 9.4 8.4 7.6 9.4 8.6 8.1 9.3 8.4 7.8 9 8.5 8 9.1 8.7 7.9 9.7 8.7 7.9 9.7 8.6 7.8 9.6 7.4 6.7 8.3 7.3 6.6 8.2 7.4 6.6 8.4 9 7.7 10.6 9.2 7.9 10.9 9.2 8 10.9 8.5 7.7 9.6 8.3 7.5 9.3 8.3 7.6 9.3 8.6 7.8 9.6 8.6 7.8 9.5 8.5 7.7 9.5 8.1 7.4 9 8.1 7.5 8.9 8 7.2 9 8.6 7.5 10.1 8.7 7.6 10.2 8.7 7.6 10.2 8.6 7.8 9.5 8.4 7.7 9.3 8.4 7.7 9.3 8.7 8.2 9.4 8.7 8.2 9.3 8.5 8.1 9.1 8.3 7.8 9 8.3 7.8 8.9 8.3 7.7 9 8.1 6.7 9.8 8.2 6.7 10 8.1 6.7 9.8 8.1 7.2 9.4 7.9 6.9 9 7.7 6.8 8.9 8.1 7.2 9.3 8 7.1 9.1 7.7 6.9 8.8 7.8 6.9 8.9 7.6 6.7 8.7 7.4 6.5 8.6 7.7 6.6 9.1 7.9 6.6 9.3 7.6 6.5 8.9
 
Text written by user:
 
Output produced by software:
This free online calculator computes equations with the following options: constant, linear deterministic trend, first differences, hyperbolic, exponential, geometric, quadratic, cubic, quartic, seasonal dummies, predetermination (lagged endogenous variables), Ordinary Least Squares, Bootstrap, Jackknife.

Econometric Regression Equation

Multiple Linear Regression - Estimated Regression Equation
Totaal[t] = +0.55742110478809 Mannen[t] +0.43344772699428 Vrouwen[t] +0.055348593879675 +0.00048372972638349 t^1 +0.001679843048578 M1[t] -0.017491045811445 M2[t] -0.014508561952714 M3[t] -0.0050033305650235 M4[t] -0.0085320521052051 M5[t] -0.011749710330115 M6[t] -0.021359109506364 M7[t] +0.010214603847662 M8[t] -0.017316743566912 M9[t] -0.010078157517314 M10[t] +0.017377506458741 M11[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.E.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
Mannen[t]0.5574210.00704779.10190300
Vrouwen[t]0.4334480.00799854.19490200
Constant0.0553490.0573430.965220.3374180.168709
t^10.0004840.0001972.4522520.016430.008215
M1[t]0.001680.0192510.0872610.9306880.465344
M2[t]-0.0174910.019156-0.9130870.364010.182005
M3[t]-0.0145090.01914-0.7580370.4507130.225357
M4[t]-0.0050030.01944-0.2573670.7975730.398787
M5[t]-0.0085320.019585-0.4356390.6643020.332151
M6[t]-0.011750.019611-0.5991390.5508160.275408
M7[t]-0.0213590.019937-1.0713090.2873340.143667
M8[t]0.0102150.0202340.504820.6151080.307554
M9[t]-0.0173170.019915-0.8695270.3872270.193613
M10[t]-0.0100780.019906-0.5062760.6140910.307046
M11[t]0.0173780.0197590.8794830.3818410.19092
VariableElasticityS.E.*T-STAT
H0: |elast| = 1
2-tail p-value1-tail p-value
%Mannen[t]0.4959240.006269-80.40225300
%Vrouwen[t]0.4948620.009131-55.32031400
%Constant0.0071430.007401-134.15829400
%t^10.0029340.001196-833.48776200
%M1[t]1.9E-050.000214-4678.92729400
%M2[t]-0.0001940.000213-4701.2832300
%M3[t]-0.0001610.000212-4705.43937800
%M4[t]-5.6E-050.000216-4633.12072100
%M5[t]-9.5E-050.000217-4598.70930700
%M6[t]-0.000130.000218-4592.49148700
%M7[t]-0.0002370.000221-4516.82074700
%M8[t]0.0001130.000225-4451.12851700
%M9[t]-0.0001920.000221-4522.07428700
%M10[t]-9.8E-050.000193-5170.82183400
%M11[t]0.0001690.000192-5209.10270300
VariableStand. Coeff.S.E.*T-STAT
H0: coeff = 0
2-tail p-value1-tail p-value
S-Mannen[t]0.6219980.00786379.10190300
S-Vrouwen[t]0.4617630.0085254.19490200
S-Constant00010.5
S-t^10.0165680.0067562.4522520.016430.008215
S-M1[t]0.0006010.0068820.0872610.9306880.465344
S-M2[t]-0.0062530.006848-0.9130870.364010.182005
S-M3[t]-0.0051870.006842-0.7580370.4507130.225357
S-M4[t]-0.0017890.00695-0.2573670.7975730.398787
S-M5[t]-0.003050.007002-0.4356390.6643020.332151
S-M6[t]-0.00420.007011-0.5991390.5508160.275408
S-M7[t]-0.0076360.007127-1.0713090.2873340.143667
S-M8[t]0.0036520.0072340.504820.6151080.307554
S-M9[t]-0.0061910.00712-0.8695270.3872270.193613
S-M10[t]-0.003390.006696-0.5062760.6140910.307046
S-M11[t]0.0058450.0066460.8794830.3818410.19092
*Notecomputed against deterministic endogenous series
VariablePartial Correlation
Mannen[t]0.993825
Vrouwen[t]0.98698
Constant0.108643
t^10.267541
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 R0.999069
R-squared0.998139
Adjusted R-squared0.997804
F-TEST2987.442885
Observations93
Degrees of Freedom78
Multiple Linear Regression - Residual Statistics
Standard Error0.036951
Sum Squared Errors0.106499
Log Likelihood182.946765
Durbin-Watson1.982824
Von Neumann Ratio2.004376
# e[t] > 045
# e[t] < 048
# Runs43
Stand. Normal Runs Statistic-0.929258

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error0.001586
Akaike (1973) Log Information Criterion-6.449635
Akaike (1974) Information Criterion0.001581
Schwarz (1978) Log Criterion-6.041152
Schwarz (1978) Criterion0.002379
Craven-Wahba (1979) Generalized Cross Validation0.001628
Hannan-Quinn (1979) Criterion0.001865
Rice (1984) Criterion0.00169
Shibata (1981) Criterion0.001515

Multiple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression1457.1057594.078983
Residual780.1064990.001365
Total9257.2122580.62187237026648
F-TEST2987.442885
p-value0




 
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Software written by Ed van Stee & Patrick Wessa


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