A Comparison of Alternative Instrumental Variables Estimators of a Dynamic Linear Model

A Comparison of Alternative Instrumental Variables Estimators of a Dynamic Linear Model

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1、AComparisonofAlternativeInstrumentalVariablesEstimatorsofaDynamicLinearModelAuthor(s):KennethD.WestandDavidW.WilcoxReviewedwork(s):Source:JournalofBusiness&EconomicStatistics,Vol.14,No.3(Jul.,1996),pp.281-293Publishedby:AmericanStatisticalAssociationSt

2、ableURL:http://www.jstor.org/stable/1392443.Accessed:09/03/201309:57YouruseoftheJSTORarchiveindicatesyouracceptanceoftheTerms&ConditionsofUse,availableat.http://www.jstor.org/page/info/about/policies/terms.jsp.JSTORisanot-for-profitservicethathelpsscho

3、lars,researchers,andstudentsdiscover,use,andbuilduponawiderangeofcontentinatrusteddigitalarchive.Weuseinformationtechnologyandtoolstoincreaseproductivityandfacilitatenewformsofscholarship.FormoreinformationaboutJSTOR,pleasecontactsupport@jstor.org..Ame

4、ricanStatisticalAssociationiscollaboratingwithJSTORtodigitize,preserveandextendaccesstoJournalofBusiness&EconomicStatistics.http://www.jstor.orgThiscontentdownloadedonSat,9Mar201309:57:37AMAllusesubjecttoJSTORTermsandConditionsAComparisonofAlternativeI

5、nstrumentalVariablesEstimatorsofaDynamicLinearModelKennethD.WESTDept.ofEconomics,UniversityofWisconsin,Madison,WI53706DavidW.WILcoxDivisionofMonetaryAffairs,BoardofGovernorsoftheFederalReserveSystem,Washington,DC20551Usingadynamiclinearequationthathasa

6、conditionallyhomoscedasticmovingaveragedistur-bance,wecomparetwoparameterizationsofacommonlyusedinstrumentalvariablesestimatortoonethatisasymptoticallyoptimalinaclassofestimatorsthatincludestheconventionalone.Wefindthat,forsomeplausibledata-generatingp

7、rocesses,theoptimaloneisdistinctlymoreef-ficientasymptotically.Simulationsindicatethatinsamplesofsizetypicallyavailable,asymptotictheorydescribesthedistributionoftheparameterestimatesreasonablywellbutthatteststatisticssometimesarepoorlysized.KEYWORDS:A

8、symptoticapproximation;Efficientestimation;Optimalestimation;Simulation;Teststatistics.Thisarticleusesasymptotictheoryandsimulationstobeuniquetoinventoryapplications,asisindicatedbythetoevaluateinstrumentalvariables(IV)estimatorsofaothe

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