我國(guó)主要城市職工平均工資高低影響因素分析-免費(fèi)閱讀
【正文】 經(jīng)濟(jì)意義：當(dāng)?shù)谌a(chǎn)業(yè)就業(yè)比例增加1%，%由計(jì)算結(jié)果得出。（3）偏相關(guān)系數(shù)：YX3X4Y X3 X4 由計(jì)算結(jié)果可以看出： 即第三產(chǎn)業(yè)就業(yè)比例比地區(qū)人均生產(chǎn)總值對(duì)各省職工平均工資的影響更為重要。選擇理由：根據(jù)經(jīng)驗(yàn)可知，一個(gè)地區(qū)生產(chǎn)總值的高低對(duì)地區(qū)職工平均工資的高低起著至關(guān)重要的作用，X3是重要的變量，而且從開(kāi)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(guò)T和F檢驗(yàn)，所以選擇變量X3，X4我們選取的模型為：Y=+++EDW= F=1..對(duì)原始數(shù)據(jù)進(jìn)行自相關(guān)，異方差的檢驗(yàn)按X3排序按X4排序DW我們用DW檢驗(yàn)法來(lái)對(duì)自相關(guān)問(wèn)題進(jìn)行檢驗(yàn)。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(shù)據(jù)中既有異方差又有自相關(guān)先按X2排序處理自相關(guān) 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(duì)新變量再檢驗(yàn)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(guān)：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(dāng)按XD4排序時(shí)仍存在自相關(guān)，所以按XD4排序再處理自相關(guān)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(shù)據(jù)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(yàn)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(yàn)自相關(guān)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(guān)，按XDD5排序再處理自相關(guān)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
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