計(jì)量經(jīng)濟(jì)學(xué)其他相關(guān)實(shí)驗(yàn)報(bào)告鳩

計(jì)量經(jīng)濟(jì)學(xué)實(shí)驗(yàn)報(bào)告一、實(shí)驗(yàn)?zāi)康模? 熟悉Eviews的基本功能，如導(dǎo)入導(dǎo)出數(shù)據(jù)等2 熟練掌握Eviews的描述性分析工具3 使用Eviews進(jìn)行回歸模型的估計(jì)和推斷，并報(bào)告結(jié)果二、實(shí)驗(yàn)內(nèi)容：1、C3.4attend.raw(1)求出變量atndrte,priGPA和ACT估計(jì)模型:atndrte=12priGPA3ACT如果學(xué)生A具有priGPA=3.1,ACT=21,B具有priGPA=2.1,ACT=26,他們?cè)诔銮趐rpblack（比例）和e考慮一個(gè)模型，用人口中比例和收入中位數(shù)來(lái)解釋飲料的價(jià)psoda: OLSN，R2行比較?？刂剖杖胱兞亢?，這種效應(yīng)是變大了還是變小了？求出log( e)和prppov的相關(guān)系數(shù)。大致符合你的預(yù)期嗎？它們是否(1)估計(jì)方程log(salary)12years3gamesyrfldperc(估計(jì)方程wage12educ3exper以log(wage)作為因變量重新做（1）和 sleeptotwrkeducageage2yngkidmale 估計(jì)（1）中模型的系數(shù)。e的方差對(duì)于和女人而言哪個(gè)更高（3）e三、實(shí)驗(yàn)步驟和結(jié)果注：紅色文字表示文字上方應(yīng)有^C3.4attend.raw，quick–groupstatistics–descriptivestatistics–individualsamples，輸入atndrteprigpaact，結(jié)果如下Std.-SumSq.quickestimateequationatndrtecprigpaactDependentVariable:ATNDRTEMethod:LeastSquaresDate:05/22/14 Time:15:38Sample:1680Includedobservations:Std.C--AdjustedR-S.D.dependentS.E.ofAkaikeinfoSumsquaredSchwarzLog-F-prigpaactprigpa1時(shí)，atndrte這個(gè)結(jié)論的含義是當(dāng)prigpa=3.65，act=20時(shí)，atndrte的預(yù)測(cè)值為104. B75.70041+17.26059*2.1-C3.8打開(kāi)文件discrime.raw，quick–groupstatistics–descriptivestatistics–individual EStd.SumSq.quick-estimateequation，輸入psodac Method:LeastSquaresDate:05/22/14 Time:16:42Sample:1410Includedobservations:Std. 1.60E-3.62E-AdjustedR-S.D.dependentS.E.ofAkaikeinfo-SumsquaredSchwarz-Log-F-quickestimateequation，輸入psodacprpblckMethod:LeastSquaresDate:05/22/14 Time:16:59Sample:1410Includedobservations:Std.CAdjustedR-S.D.dependentS.E.ofAkaikeinfo-SumsquaredSchwarz-Log-F-quick-estimateequation，輸入log(psoda)cprpblck Method:LeastSquaresDate:05/22/14 Time:17:07Sample:1410Includedobservations:Std.C-- AdjustedR-S.D.dependentS.E.ofAkaikeinfo-SumsquaredSchwarz-Log-F-quick-estimateequation，輸入log(psoda)cprpblck Method:LeastSquaresDate:05/24/14 Time:13:33Sample:1410Std.C S.D.dependentS.E.ofAkaikeinfoSumsquaredLogF-Durbin-Watsonquick–groupstatistics–correlations，輸入 e)prppov，結(jié)果如 （2）psoda=0.956320+0.114988prpbl e保持不變，當(dāng)prpblck增加1%時(shí)，psoda增log(psoda)=-0.793768+0.121580prpblck+0.076511log(截距的含prpblcklog(e)0時(shí)，log(psoda)的預(yù)測(cè)值為-0.793768prpblck系數(shù)的含義是若log(e)保持不prpblck1psoda大約增加12.1580% C4.5Method:LeastSquaresDate:05/24/14 Time:14:16Sample:1353Std.CS.D.dependentS.E.ofAkaikeinfoSumsquaredLogF-Durbin-Watsonquickestimateequation，輸入log(salary)cyearsgamesyrbavghrunsyrrunsyrfldpercsbasesyr，結(jié)果如下Method:LeastSquaresDate:05/24/14 Time:14:26Sample:1353Std.CS.D.dependentS.E.ofAkaikeinfoSumsquaredLogF-Durbin-Watson 在equation窗口中，viewcoefficienttestswaldcoefficientrestrictions，輸入WaldTest F-(3,3Std.Restrictionsarelinearin在5%的顯著性水平下，runsyr的系數(shù)是個(gè)別顯著在5%的顯著性水平下，bavg，fldperc和sbasesyr的系數(shù)不是聯(lián)合顯著C5.1打開(kāi)文件wage1.raw，quickestimateequation，輸入wageceducexpertenure，結(jié)DependentVariable:WAGEMethod:LeastSquaresDate:05/29/14 Time:15:19Sample:1526Includedobservations:Std.C--AdjustedR-S.D.dependentS.E.ofAkaikeinfoSumsquaredSchwarzLog-F-在equation窗口中，procmakeresidualseries，在series窗口中，viewgraph，在0

quickestimateequation，輸入log(wageceducexpertenureMethod:LeastSquaresIncludedobservations:Includedobservations:Std.CAdjustedR-S.D.dependentS.E.ofAkaikeinfoSumsquaredSchwarzLog-F-equation窗口中，procmakeresidualseriesseries窗口中，viewgraph，在specifi中選擇distribution，結(jié)果如下0

（1）wage=-log(wage)=C7.2打開(kāi)文件wage2.raw，quickestimateequation，輸入log(wageceducexpertenuremarriedblacksouthurban，結(jié)果如下Method:LeastSquaresDate:05/29/14 Time:15:54Sample:1935Includedobservations: Std. C----AdjustedR-S.D.dependentS.E.ofAkaikeinfoSumsquaredSchwarzLog-F-quickestimateequation，輸入log(wageceducexpertenuremarriedblacksouthurbanexper^2tenure^2，結(jié)果如下Method:LeastSquaresDate:05/29/14 Time:16:08Sample:1935Includedobservations:Std.C--------AdjustedR-S.D.dependentS.E.ofAkaikeinfoSumsquaredSchwarzLog-F-在equation窗口中，viewcoefficienttestswaldcoefficientrestrictions，輸入WaldTest F-(2,2NullHypothesisStd.--Restrictionsarelinearinquickestimateequation，輸入log(wageceducexpertenuremarriedblacksouthurbaneduc*black，結(jié)果如下Method:LeastSquaresDate:05/29/14 Time:16:47Sample:1935Includedobservations:Std.C----AdjustedR-S.D.dependentS.E.ofAkaikeinfoSumsquaredSchwarzLog-F-quickestimateequation，輸入log(wageceducexpertenuremarriedblacksouthurbanmarried*black，結(jié)果如下Method:LeastSquaresDate:05/29/14 Time:16:56Sample:1935Includedobservations:Std.C----AdjustedR-S.D.dependentS.E.ofAkaikeinfoSumsquaredSchwarzLog-F-+0.198547married-0.190664black-0.091215south+0.185424urban-（3）log(wage)=（4）log(wage)=C7.2打開(kāi)文件sleep75.raw，quickestimateequation，輸入sleepctotwrkeducageage^2yngkidmale，結(jié)果如下DependentVariable:SLEEPMethod:LeastSquaresDate:05/29/14 Time:17:30Sample:1706Includedobservations:Std.C--------AdjustedR-S.D.dependentS.E.ofAkaikeinfoSumsquaredSchwarzLog-F-在equation窗口中，procmakeresidualseries，在series窗口中，procgeneratebyequation，輸入vare=resid01^2，quick-estimateequation，輸入varecmale，結(jié)果Method:LeastSquaresDate:05/30/14 Time:16:39Sample:1706 Std. CCS.D.dependentS.E.ofAkaikeinfoSumsquaredLogF-Durbin-Watson中選擇heteroskedasticityconsistentcoefficientwhiteMethod:LeastSquaresDate:05/30/14 Time:16:57Sample:1706Std.CS.D.dependentS.E.ofAkaikeinfoSumsquaredLogF-Durbin-Watsonquick-estimateequation，輸入sleepctotwrkeducageage^2yngkidmale，在equation窗口中，viewresidualtestswhiteheteroskedasticitycrossterms)，結(jié)果F-TestMethod:LeastSquaresDate:05/30/14 Time:17:19Sample:1706Std.C.. .S.D.dependentS.E.ofAkaikeinfoSumsquaredLogF-Durbin-W