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ID:50593785
大小:1.21 MB
页数:51页
时间:2020-03-12
《Estimation of Parameters in the Presence of Model misspecification 在模型误设下的参数估计.ppt》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、EstimationofParametersinthePresenceofModelmisspecificationandMeasurementErrorP.A.V.B.Swamy,GeorgeS.Tavlas,StephenG.HallAndGeorgeHondroyiannisIntroductionMosteconometricrelationshipsaresubjecttoatleastthefollowingthreeproblemsMeasurementErrorThetruefunctionalformisunknownOmittedvariablesWhiletherear
2、especifictechniquesorproceduresthatdealwiththeseproblemsoneatatimethereisnosingleapproachwhichworksforthemall.Thispaperproposesanewestimationstrategywhichpotentiallydealswithallformsofmodelmisspecificationsimultaneously.Unlikesomenon-parametrictechniquestheproposedmethodisfeasiblewithrelativelysmal
3、ldatasetsItalsooffersanewinterpretationofregressioncoefficientsinthepresenceofmisspecificationandaformalrepresentationofthebiaseswhichresult2.TheInterpretationofModelCoefficientsConsidertherelationshipbetweenanendogenousvariableandK-1ofitsdeterminants….WhereinparticularK-1maybeonlyasubsetofthefulls
4、etofdeterminantssothatwehaveomittedvariables.Inadditionwehavemeasurementerror=+,=+AndwemaybeestimatingthewrongfunctionalformWhatistheeconometriciantryingtoachieve?Ouranswertothisistoderiveanestimateofthepartialderivativeofwithrespectto,andtotesthypothesisaboutthis.Ifyouwanttoestimatethetruemodelthe
5、ntherereallyisnoalternativetospecifyingitcorrectly.Howeverifyouareonlyinterestedinpartialeffectsthenweofferanotherwayforward.Considerthefollowingtimevaryingparametermodel=++…+AllpotentialmisspecificationiscapturedinthetimevaryingcoefficientswhichofferacompleteExplanationofy.Nowthekeyquestioniswhata
6、rethestochasticassumptionsabouttheTVCsThecorrectstochasticassumptionsabouttheTVCcomesfromanunderstandingofthemisspecificationwhichdrivesthetimevariation.NotationandassumptionsLetdenotethetotalnumberofdeterminantsofy,thiscannotgenerallybeknown,butingeneralm>k-1.Nowletandj=1…K-1andg=k…mbethetruecoeff
7、icientsontheunderlyingmodel,wheretheparametersvarybecauseofeitheranon-linearfunctionalformortrulychangingparametersNowforg=k…letdenotetheinterceptandj=1…K-1denotetheothercoefficientsoftheregressionofon…Then
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