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計(jì)量經(jīng)濟(jì)學(xué)課程設(shè)計(jì)(存儲(chǔ)版)

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【正文】 nt varAdjusted Rsquared . dependent var. of regression Akaike info criterionSum squared resid Schwarz criterionLog likelihood FstatisticDurbinWatson stat Prob(Fstatistic)圖8 懷特檢驗(yàn)結(jié)果由圖8知該值大于5%顯著水平下、自由度為5的分布的臨界值因此取顯著水平為5%時(shí)可得出經(jīng)廣義差分后的回歸模型具有異方差性的結(jié)論。由圖11可知,故知原模型無一階自相關(guān)性,并且由偏相關(guān)系數(shù)圖13也可得出原模型無高階自相關(guān)性的結(jié)論。參考文獻(xiàn)1 李子奈,:高等教育出版社,20102 孫敬水,:清華大學(xué)出版社,20093《中國統(tǒng)計(jì)年鑒(2011年)》4 中國2011年統(tǒng)計(jì)年鑒網(wǎng)。White Heteroskedasticity Test:Fstatistic ProbabilityObs*Rsquared ProbabilityTest Equation:Dependent Variable: STD_RESID^2Method: Least SquaresDate: 06/03/12 Time: 20:28Sample: 1990 2010Included observations: 21VariableCoefficientStd. ErrortStatisticProb. CLOG(X2)(LOG(X2))^2(LOG(X2))*(LOG(X4))LOG(X4)(LOG(X4))^2Rsquared Mean dependent varAdjusted Rsquared . dependent var. of regression Akaike info criterionSum squared resid Schwarz criterionLog likelihood FstatisticDurbinWatson stat Prob(Fstatistic)圖12 懷特檢驗(yàn)結(jié)果由圖12故原模型不在存在異方差性。首先,利用散點(diǎn)圖圖7對(duì)異方差性進(jìn)行粗略檢驗(yàn):圖7 散點(diǎn)圖由圖7可認(rèn)為原模型存在異方差性。對(duì)表3進(jìn)行解釋:初始模型中引入,由于的參數(shù)未能通過統(tǒng)計(jì)檢驗(yàn),修正后的擬合優(yōu)度也略有下降,且其參數(shù)符號(hào)不符合經(jīng)濟(jì)意義,故剔除解釋變量。 表1 相關(guān)數(shù)據(jù)表年份農(nóng)業(yè)總產(chǎn)值(億元)農(nóng)業(yè)機(jī)械總動(dòng)力(萬千瓦)化肥施用量(萬噸)農(nóng)作物播種總面積(千公頃)成災(zāi)面積(千公頃)19901483621781919911495862781419921490072589319931477412313419941482413138219951498792226819961523812123419971539693030719981557062518119991563732673420001563003437420011557083179320021546362716020031524153251620041535531629720051554881996620061521492463220071534642506420085239156266222832009158614212342
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