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2.11GDPEviewsDependentVariable:YMethod:LeastSquaresDate:12/27/14Time:21:00Sample:122Includedobservations:22VariableCoefficientStd.Errort-StatisticProb.C56.647941.96082028.889920.0000X10.1283600.0272424.7118340.0001R-squared0.526082Meandependentvar62.50000AdjustedR-squared0.502386S.D.dependentvar10.08889S.E.ofregression7.116881Akaikeinfocriterion6.849324Sumsquaredresid1013.000Schwarzcriterion6.948510Loglikelihood-73.34257Hannan-Quinncriter.6.872689F-statistic22.20138Durbin-Watsonstat0.629074Prob(F-statistic)0.000134y=56.64794+0.128360x1EviewsDependentVariable:YMethod:LeastSquaresDate:11/26/14Time:21:10Sample:122Includedobservations:22VariableCoefficientStd.Errort-StatisticProb.C38.794243.53207910.983400.0000X20.3319710.0466567.1153080.0000R-squared0.716825Meandependentvar62.50000AdjustedR-squared0.702666S.D.dependentvar10.08889S.E.ofregression5.501306Akaikeinfocriterion6.334356Sumsquaredresid605.2873Schwarzcriterion6.433542Loglikelihood-67.67792Hannan-Quinncriter.6.357721F-statistic50.62761Durbin-Watsonstat1.846406Prob(F-statistic)0.000001y=38.79424+0.331971x2EviewsDependentVariable:YMethod:LeastSquaresDate:11/26/14Time:21:14Sample:122Includedobservations:22VariableCoefficientStd.Errort-StatisticProb.C31.799566.5364344.8649710.0001X30.3872760.0802604.8252850.0001R-squared0.537929Meandependentvar62.50000AdjustedR-squared0.514825S.D.dependentvar10.08889S.E.ofregression7.027364Akaikeinfocriterion6.824009Sumsquaredresid987.6770Schwarzcriterion6.923194Loglikelihood-73.06409Hannan-Quinncriter.6.847374F-statistic23.28338Durbin-Watsonstat0.952555Prob(F-statistic)0.000103y=31.79956+0.387276x32GDP0.526082tt1=4.711834t0.025(20)=2.086GDP0.716825tt2=7.115308t0.025(20)=2.0860.537929tt3=4.825285t0.025(20)=2.0862.21EviewsDependentVariable:YMethod:LeastSquaresDate:12/03/14Time:17:00Sample(adjusted):133Includedobservations:33afteradjustmentsVariableCoefficientStd.Errort-StatisticProb.X0.1761240.00407243.256390.0000C-154.306339.08196-3.9482740.0004R-squared0.983702Meandependentvar902.5148AdjustedR-squared0.983177S.D.dependentvar1351.009S.E.ofregression175.2325Akaikeinfocriterion13.22880Sumsquaredresid951899.7Schwarzcriterion13.31949Loglikelihood-216.2751Hannan-Quinncriter.13.25931F-statistic1871.115Durbin-Watsonstat0.100021Prob(F-statistic)0.0000000.176124154.306310.9837022tt2=43.25639t0.025(31)=2.0395Y=0.176124X154.3063(0.004072)(39.08196)t=(43.25639)-3.948274R2=0.983702F=1871.115n=3310.1761242x=32000Y=0.176124X154.3063Y=Y=0.176124*32000154.3063=5481.6617EviewsXYMean6000.441902.5148Median2689.280209.3900Maximum27722.314895.410Minimum123.720025.87000Std.Dev.7608.0211351.009Skewness1.4325191.663108Kurtosis4.0105154.590432Jarque-Bera12.6906818.69063Probability0.0017550.000087Sum198014.529782.99SumSq.Dev.1.85E+0958407195Observations33332=XiX2=2x(n1)=7608.0212x(331)=1852223.473(XfX)2=(320006000.441)2=675977068.2Xf=320005481.66172.0395x175.2325x1/33+1852223.473/675977068.2Yf5481.6617+2.0395x175.2325x1/33+1852223.473/675977068.2Yf5481.661764.9649,5481.6617+64.9649(3)EviewsDependentVariable:LNYMethod:LeastSquaresDate:12/03/14Time:18:00Sample(adjusted):133Includedobservations:33afteradjustmentsVariableCoefficientStd.Errort-StatisticProb.LNX0.9802750.03429628.582680.0000C-1.9182890.268213-7.1521210.0000R-squared0.963442Meandependentvar5.573120AdjustedR-squared0.962263S.D.dependentvar1.684189S.E.ofregression0.327172Akaikeinfocriterion0.662028Sumsquaredresid3.318281Schwarzcriterion0.752726Loglikelihood-8.923468Hannan-Quinncriter.0.692545F-statistic816.9699Durbin-Watsonstat0.096208Prob(F-statistic)0.000000lnY=0.980275lnX-1.9182890.980275-1.91828910.9634422tt2=28.58268t0.025(31)=2.03951%0.980275%2.41EviewsDependentVariable:YMethod:LeastSquaresDate:12/01/14Time:12:40Sample:112Includedobservations:12VariableCoefficientStd.Errort-StatisticProb.X-64.184004.809828-13.344340.0000C1845.47519.2644695.796880.0000R-squared0.946829Meandependentvar1619.333AdjustedR-squared0.941512S.D.dependentvar131.2252S.E.ofregression31.73600Akaikeinfocriterion9.903792Sumsquaredresid10071.74Schwarzcriterion9.984610Loglikelihood-57.42275Hannan-Quinncriter.9.873871F-statistic178.0715Durbin-Watsonstat1.172407Prob(F-statistic)0.000000Y=1845.475--64.18400X2164.184003Y=1845.475--64.18400Xx=4.5y=1556.647EviewsYXMean1619.3333.523333Median1630.0003.715000Maximum1860.0006.230000Minimum1419.0000.600000Std.Dev.131.22521.989419Skewness0.003403-0.060130Kurtosis2.3465111.664917Jarque-Bera0.2135470.898454Probability0.8987290.638121Sum19432.0042.28000SumSq.Dev.189420.743.53567Observations12122=XiX2=2x(n1)=1.9894192x(121)=43.5357(XfX)2=(4.53.523333)2=0.95387843Xf=4.51556.6472.228x31.73600x1/12+43.5357/0.95387843Yf1556.647+2.228x31.73600x1/12+43.5357/0.95387843Yf1556.647478.1231,1556.647+478.12313.11EviewsDependentVariable:YMethod:LeastSquaresDate:11/25/14Time:12:38Sample:131Includedobservations:31VariableCoefficientStd.Errort-StatisticProb.X25.9968651.4060584.2650200.0002X3-0.5240270.179280-2.9229500.0069X4-2.2656800.518837-4.3668420.0002C246.854051.975004.7494760.0001R-squared0
本文标题:计量经济学庞皓第三版课后答案
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