我國主要城市職工平均工資高低影響因素分析-免費閱讀

　　

【正文】 經濟意義：當第三產業就業比例增加1%，%由計算結果得出。（3）偏相關系數：YX3X4Y X3 X4 由計算結果可以看出： 即第三產業就業比例比地區人均生產總值對各省職工平均工資的影響更為重要。選擇理由：根據經驗可知，一個地區生產總值的高低對地區職工平均工資的高低起著至關重要的作用，X3是重要的變量，而且從開始做的大表中可以看出在二元模型中X3和X4的組合能通過T和F檢驗，所以選擇變量X3，X4我們選取的模型為：Y=+++EDW= F=1..對原始數據進行自相關，異方差的檢驗按X3排序按X4排序DW我們用DW檢驗法來對自相關問題進行檢驗。按X1排序按X2排序按X4排序按X5排序大60654502238407586519512247534706小4564142711603100183507038370409FstatisticF臨界值是否存在異方差否否否是可以看出原始數據中既有異方差又有自相關先按X2排序處理自相關 Ls y c x1 x2 x4 x5 ar(1)Dependent Variable: YMethod: Least SquaresDate: 12/22/10 Time: 23:16Sample(adjusted): 2 31Included observations: 30 after adjusting endpointsConvergence achieved after 8 iterationsVariableCoefficientStd. ErrortStatisticProb. CX1X2X4X5AR(1)Rsquared Mean dependent varAdjusted Rsquared . dependent var. of regression Akaike info criterionSum squared resid+08 Schwarz criterionLog likelihood FstatisticDurbinWatson stat Prob(Fstatistic)Inverted AR Roots .54定義新變量genr yd=yy(1)*genr xd1=x1x1(1)*genr xd2=x2x2(1)*genr xd4=x4x4(1)*genr xd5=x5x5(1)*genr c1=smpl 1 1genr yd=y*(^2)^genr xd1=x1*(^2)^genr xd2=x2*(^2)^genr xd4=x4*(^2)^genr xd5=x5*(^2)^genr c1=(^2)^obsC1XD1XD2XD4XD5YD1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 對新變量再檢驗異方差按XD1排序按XD2排序按XD4排序按XD5排序大56511086548684555257130050791344小28805979264450063915871340904504FstatisticF臨界值是否存在異方差否否否否自相關：按XD1 排序按XD2排序按XD4排序按XD5排序 DW從上表中可以看出當按XD4排序時仍存在自相關，所以按XD4排序再處理自相關Ls yd c1 xd1 xd2 xd4 xd5 ar(1)Dependent Variable: YDMethod: Least SquaresDate: 12/22/10 Time: 23:34Sample(adjusted): 2 31Included observations: 30 after adjusting endpointsConvergence achieved after 7 iterationsVariableCoefficientStd. ErrortStatisticProb. C1XD1XD2XD4XD5AR(1)Rsquared Mean dependent varAdjusted Rsquared . dependent var. of regression Akaike info criterionSum squared resid+08 Schwarz criterionLog likelihood DurbinWatson statInverted AR Roots .19定義新變量genr ydd=ydyd(1)*genr xdd1=xd1xd1(1)*genr xdd2=xd2xd2(1)*genr xdd4=xd4xd4(1)*genr xdd5=xd5xd5(1)*genr c2=c1c1(1)*smpl 1 1genr ydd=yd*(^2)^genr xdd1=xd1*(^2)^genr xdd=xd1*(^2)^genr xdd1=xd1*(^2)^genr xdd2=xd2*(^2)^genr xdd4=xd4*(^2)^genr xdd5=xd5*(^2)^genr c2=c1*(^2)^新數據obsC2XDD1XDD2XDD4XDD5YDD1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 再檢驗異方差按XDD1排序按XDD2排序按XDD4排序按XDD5排序大43552537383977864553019934194565小15151509137968881763530317635303FstatisticF臨界值是否存在異方差否否否否檢驗自相關按XDD1 排序按XDD2排序按XDD4排序按XDD5排序 DW從上表中可以看出仍舊從在自相關，按XDD5排序再處理自相關Ls ydd c2 xdd1 xdd2 xdd4 xdd5 ar(1)Dependent Variable: YDDMethod: Least SquaresDate: 12/22/10 Time: 23:51Sample(adjusted): 2 31Included observations: 30 after adjusting endpointsConvergence achieved after 8 iterationsVariableCoefficientStd. ErrortStatisticProb. C2XDD1XDD2XDD4XDD5AR(1)Rsquared Mean dependent varAdjusted Rsquared . dependent var. of regression Akaike info criterionSum squared resid+08 Schwarz criterionLog likelihood DurbinWatson statInverted AR Roots 定義新變量genr yddd=yddydd(1)* ()genr xddd1=xdd1xdd1(1)* ()genr xddd2=xdd2xdd2(1)* ()genr xddd4=xdd4xdd4(1)* ()genr xddd5=xdd5xdd5(1)* ()genr c3=c2c2(1)* ()smpl 1 1Genr yddd=ydd*(1 ^2)^Genr xddd1=xdd1*(1 ^2)^Genr xddd2=xdd2*(1 ^2)^Genr xddd4=xdd4*(1 ^2)^Genr xddd5=xdd5*(1 ^2)^genr c3=c2*(1 ^2)^obsYDDDXDDD5XDDD4XDDD2XDDD1C31 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24