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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 14:10:55 -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/t1196025036ndlpxd15pnidj1d.htm/, Retrieved Sun, 25 Nov 2007 22:10:36 +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
(1-B)Totaal[t] = +0.57428314369122 (1-B)Mannen[t] +0.42094603976076 (1-B)Vrouwen[t] -0.016408089819749 Constant +0.017715864877733 M1[t] -0.0021402276118943 M2[t] +0.019037579035425 M3[t] +0.026321307434027 M4[t] +0.012097580566686 M5[t] +0.017265451206815 M6[t] +0.016498117801447 M7[t] +0.050029108325877 M8[t] -0.013271464919996 M9[t] +0.019332931735787 M10[t] +0.043126507156278 M11[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.E.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(1-B)Mannen[t]0.5742830.02163626.54237800
(1-B)Vrouwen[t]0.4209460.01601226.28861900
Constant-0.0164080.019559-0.8389220.4040770.202039
M1[t]0.0177160.0278280.6366250.5262330.263117
M2[t]-0.002140.026813-0.079820.9365850.468292
M3[t]0.0190380.0270030.7050110.4829040.241452
M4[t]0.0263210.0277430.9487610.3456720.172836
M5[t]0.0120980.0268690.4502420.6537850.326893
M6[t]0.0172650.0269890.6397170.5242310.262116
M7[t]0.0164980.030790.5358250.5936040.296802
M8[t]0.0500290.0270371.8504220.0680390.03402
M9[t]-0.0132710.026858-0.4941260.6226060.311303
M10[t]0.0193330.0300220.6439580.5214920.260746
M11[t]0.0431270.0282721.5254050.1312030.065601
VariableElasticityS.E.*T-STAT
H0: |elast| = 1
2-tail p-value1-tail p-value
%(1-B)Mannen[t]0.2871420.010818-65.89417700
%(1-B)Vrouwen[t]0.4209460.016012-36.16266100
%Constant-7.5477218.9969340.7277730.4689320.234466
%M1[t]0.6200550.973972-0.3900980.6975270.348764
%M2[t]-0.0856091.072529-0.8525560.3965160.198258
%M3[t]0.7615031.08013-0.2208040.8258220.412911
%M4[t]1.0528521.1097130.0476270.9621350.481068
%M5[t]0.4839031.074763-0.4801960.6324320.316216
%M6[t]0.6906181.079569-0.2865790.7751940.387597
%M7[t]0.6599251.231604-0.2761240.7831830.391592
%M8[t]2.0011641.0814640.9257490.3574320.178716
%M9[t]-0.5308591.074338-0.436680.663550.331775
%M10[t]0.6766531.050772-0.3077240.7591130.379556
%M11[t]1.5094280.9895260.514820.6081350.304067
VariableStand. Coeff.S.E.*T-STAT
H0: coeff = 0
2-tail p-value1-tail p-value
S-(1-B)Mannen[t]0.5503460.02073526.54237800
S-(1-B)Vrouwen[t]0.6331620.02408526.28861900
S-Constant00010.5
S-M1[t]0.0136470.0214360.6366250.5262330.263117
S-M2[t]-0.0017520.02195-0.079820.9365850.468292
S-M3[t]0.0155850.0221060.7050110.4829040.241452
S-M4[t]0.0215470.0227110.9487610.3456720.172836
S-M5[t]0.0099030.0219960.4502420.6537850.326893
S-M6[t]0.0141340.0220940.6397170.5242310.262116
S-M7[t]0.0135060.0252060.5358250.5936040.296802
S-M8[t]0.0409550.0221331.8504220.0680390.03402
S-M9[t]-0.0108640.021987-0.4941260.6226060.311303
S-M10[t]0.0148920.0231260.6439580.5214920.260746
S-M11[t]0.033220.0217781.5254050.1312030.065601
*Notecomputed against deterministic endogenous series
VariablePartial Correlation
(1-B)Mannen[t]0.948852
(1-B)Vrouwen[t]0.947935
Constant-0.094563
M1[t]0.071897
M2[t]-0.009037
M3[t]0.079574
M4[t]0.106812
M5[t]0.050914
M6[t]0.072244
M7[t]0.060559
M8[t]0.205066
M9[t]-0.055861
M10[t]0.072721
M11[t]0.170198
Critical Values (alpha = 5%)
1-tail CV at 5%1.65
2-tail CV at 5%1.96

Multiple Linear Regression - Regression Statistics
Observations92
Degrees of Freedom78
Multiple Linear Regression - Residual Statistics
Standard Error0.051721
Sum Squared Errors0.208657
Log Likelihood149.544959
Durbin-Watson2.847219
Von Neumann Ratio2.878508
# e[t] > 050
# e[t] < 043
# Runs60
Stand. Normal Runs Statistic2.676851

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error0.003082
Akaike (1973) Log Information Criterion-5.784507
Akaike (1974) Information Criterion0.003075
Schwarz (1978) Log Criterion-5.400756
Schwarz (1978) Criterion0.004513
Craven-Wahba (1979) Generalized Cross Validation0.003155
Hannan-Quinn (1979) Criterion0.00359
Rice (1984) Criterion0.00326
Shibata (1981) Criterion0.002958




 
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This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa


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