statistical inference in regressions withintegrated processes

statistical inference in regressions withintegrated processes

ID:7291934

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时间:2018-02-10

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1、EconometricTheory,4,1988,468-497.PrintedintheUnitedStatesofAmerica.STATISTICALINFERENCEINREGRESSIONSWITHINTEGRATEDPROCESSES:PART1JOONY.PARKANDPETERC.B.PHILLIPSCowlesFoundation,YaleUniversityThispaperdevelopsamultivariateregressiontheoryforintegratedprocesseswhichsimplifiesandextendsmuchearlierwo

2、rk.Ourframeworkallowsforbothstochasticandcertaindeterministicregressors,vectorautoregressions,andregressorswithdrift.Themainfocusofthepaperisstatisticalinference.ThepresenceofnuisanceparametersintheasymptoticdistributionsofregressionFtestsisexploredandnewtransformationsareintroducedtodealwiththe

3、sedependencies.Somespecializationsofourtheoryareconsideredindetail.Inmodelswithstrictlyexogenousregressors,wedemonstratethevalidityofcon-ventionalasymptotictheoryforappropriatelyconstructedWaldtests.Thesetestsprovideasimpleandconvenientbasisforspecificationrobustinferencesinthiscontext.Singleequ

4、ationregressiontestsarealsostudiedindetail.HereitisshownthattheasymptoticdistributionoftheWaldtestisamixtureofthechisquareofconventionalregressiontheoryandthestandardunit-rootthe-ory.Thenewresultaccommodatesbothextremesandintermediatecases.1.INTRODUCTIONRecently,therehasbeengrowinginterestinthet

5、heoryofregressionamongtimeseriesthatareindividuallywell-explainedbymodelsoftheARIMAtype.Suchmodelsgenerateasimpleclassofnonstationarytimeserieswhichwegenericallydescribeasintegratedprocesses.Morespecifically,wecallatimeseriesIX,Janintegratedprocessoforderk(inshort,anI(k)process)ifthetimeseriesof

6、kthorderdifferencesIkX,Jisstationary(anI(0)pro-cess).I(1)processesbehavelikeaccumulatedsumsofstationaryinnovationsandtheypossessasingleunitroot.Whenwerunregressionswithsuchtimeseries,theasymptoticpropertiesoftheregressioncoefficients,statisticaltests,andregressiondiagnosticsareverydifferentfromt

7、hoseofregressionswithstationarytimeseries.Someofthesedifferenceshavebecomeappar-entinrecentworkbyPhillips[15,16],PhillipsandDurlauf[19],PhillipsandOuliaris[20],Stock[23],andStockandWatson[24].Theaimofthepresentpaperanditsseq

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